app.py

import os
import logging
from typing import Dict, List, Optional
from functools import lru_cache
import re

import gradio as gr
try:
    from vector_db import VectorDatabase # Assuming this is in the same directory or installed
except ImportError:
    print("Error: Could not import VectorDatabase from vector_db.py.")
    print("Please ensure vector_db.py exists in the same directory and is correctly defined.")
    exit(1)

try:
    from langchain_openai import ChatOpenAI
except ImportError:
    print("Error: langchain-openai not found. Please install it: pip install langchain-openai")
    exit(1)

from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain

# Suppress warnings
import warnings
warnings.filterwarnings("ignore", category=SyntaxWarning)
warnings.filterwarnings("ignore", category=UserWarning, message=".*You are using gradio version.*")
warnings.filterwarnings("ignore", category=DeprecationWarning)

# Enhanced logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s'
)

# --- RAGSystem Class (Processing Logic - kept intact as requested) ---
class RAGSystem:
    def __init__(self, vector_db: Optional[VectorDatabase] = None):
        logging.info("Initializing RAGSystem")
        self.vector_db = vector_db if vector_db else VectorDatabase()
        self.llm = None
        self.chain = None
        self.prompt_template_str = """You are a legal assistant specializing in tenant rights and landlord-tenant laws. Your goal is to provide accurate, detailed, and helpful answers grounded in legal authority. Use the provided statutes as the primary source when available. If no relevant statutes are found in the context, rely on your general knowledge to provide a pertinent and practical response, clearly indicating when you are doing so and prioritizing state-specific information over federal laws for state-specific queries.
Instructions:
* Use the context and statutes as the primary basis for your answer when available.
* For state-specific queries, prioritize statutes or legal principles from the specified state over federal laws.
* Cite relevant statutes (e.g., (AS § 34.03.220(a)(2))) explicitly in your answer when applicable.
* If multiple statutes apply, list all relevant ones.
* If no specific statute is found in the context, state this clearly (e.g., 'No specific statute was found in the provided context'), then provide a general answer based on common legal principles or practices, marked as such.
* Include practical examples or scenarios to enhance clarity and usefulness.
* Use bullet points or numbered lists for readability when appropriate.
* Maintain a professional and neutral tone.
Question: {query}
State: {state}
Statutes from context:
{statutes}
Context information:
--- START CONTEXT ---
{context}
--- END CONCONTEXT ---
Answer:"""
        self.prompt_template = PromptTemplate(
            input_variables=["query", "context", "state", "statutes"],
            template=self.prompt_template_str
        )
        logging.info("RAGSystem initialized.")

    def extract_statutes(self, text: str) -> str:
        statute_pattern = r'\b(?:[A-Z]{2,}\.?\s+(?:Rev\.\s+)?Stat\.?|Code(?:\s+Ann\.?)?|Ann\.?\s+Laws|Statutes|CCP|USC|ILCS|Civ\.\s+Code|Penal\s+Code|Gen\.\s+Oblig\.\s+Law|R\.?S\.?|P\.?L\.?)\s+§\s*[\d\-]+(?:\.\d+)?(?:[\(\w\.\)]+)?|Title\s+\d+\s+USC\s+§\s*\d+(?:-\d+)?\b'
        statutes = re.findall(statute_pattern, text, re.IGNORECASE)
        valid_statutes = []
        for statute in statutes:
            statute = statute.strip()
            if '§' in statute and any(char.isdigit() for char in statute):
                if not re.match(r'^\([\w\.]+\)$', statute) and 'http' not in statute:
                    if len(statute) > 5:
                        valid_statutes.append(statute)

        if valid_statutes:
            seen = set()
            unique_statutes = [s for s in valid_statutes if not (s.rstrip('.,;') in seen or seen.add(s.rstrip('.,;')))]
            logging.info(f"Extracted {len(unique_statutes)} unique statutes.")
            return "\n".join(f"- {s}" for s in unique_statutes)

        logging.info("No statutes found matching the pattern in the context.")
        return "No specific statutes found in the provided context."

    @lru_cache(maxsize=50)
    def process_query_cached(self, query: str, state: str, openai_api_key: str, n_results: int = 5) -> Dict[str, any]:
        logging.info(f"Processing query (cache key: '{query}'|'{state}'|key_hidden) with n_results={n_results}")

        if not state or state == "Select a state..." or "Error" in state:
            logging.warning("No valid state provided for query.")
            return {"answer": "<div class='error-message'>Error: Please select a valid state.</div>", "context_used": "N/A - Invalid Input"}
        if not query or not query.strip():
            logging.warning("No query provided.")
            return {"answer": "<div class='error-message'>Error: Please enter your question.</div>", "context_used": "N/A - Invalid Input"}
        if not openai_api_key or not openai_api_key.strip() or not openai_api_key.startswith("sk-"):
            logging.warning("No valid OpenAI API key provided.")
            return {"answer": "<div class='error-message'>Error: Please provide a valid OpenAI API key (starting with 'sk-'). Get one from <a href='https://platform.openai.com/api-keys' target='_blank'>OpenAI</a>.</div>", "context_used": "N/A - Invalid Input"}

        try:
            logging.info("Initializing temporary LLM and Chain for this query...")
            temp_llm = ChatOpenAI(
                temperature=0.2, openai_api_key=openai_api_key, model_name="gpt-3.5-turbo",
                max_tokens=1500, request_timeout=45
            )
            temp_chain = LLMChain(llm=temp_llm, prompt=self.prompt_template)
            logging.info("Temporary LLM and Chain initialized successfully.")
        except Exception as e:
            logging.error(f"LLM Initialization failed: {str(e)}", exc_info=True)
            error_msg = "Error: Failed to initialize AI model. Please check your network connection and API key validity."
            if "authentication" in str(e).lower():
                error_msg = "Error: OpenAI API Key is invalid or expired. Please check your key."
            return {"answer": f"<div class='error-message'>{error_msg}</div><div class='error-details'>Details: {str(e)}</div>", "context_used": "N/A - LLM Init Failed"}

        context = "No relevant context found."
        statutes_from_context = "Statute retrieval skipped due to context issues."
        try:
            logging.info(f"Querying Vector DB for query: '{query[:50]}...' in state '{state}'...")
            results = self.vector_db.query(query, state=state, n_results=n_results)
            logging.info(f"Vector DB query successful for state '{state}'. Processing results...")

            context_parts = []
            doc_results = results.get("document_results", {})
            docs = doc_results.get("documents", [[]])[0]
            metadatas = doc_results.get("metadatas", [[]])[0]
            if docs and metadatas and len(docs) == len(metadatas):
                logging.info(f"Found {len(docs)} document chunks.")
                for i, doc_content in enumerate(docs):
                    metadata = metadatas[i]
                    state_label = metadata.get('state', 'Unknown State')
                    chunk_id = metadata.get('chunk_id', 'N/A')
                    context_parts.append(f"**Source: Document Chunk {chunk_id} (State: {state_label})**\n{doc_content}")

            state_results_data = results.get("state_results", {})
            state_docs = state_results_data.get("documents", [[]])[0]
            state_metadatas = state_results_data.get("metadatas", [[]])[0]
            if state_docs and state_metadatas and len(state_docs) == len(state_metadatas):
                logging.info(f"Found {len(state_docs)} state summary documents.")
                for i, state_doc_content in enumerate(state_docs):
                    metadata = state_metadatas[i]
                    state_label = metadata.get('state', state)
                    context_parts.append(f"**Source: State Summary (State: {state_label})**\n{state_doc_content}")

            if context_parts:
                context = "\n\n---\n\n".join(context_parts)
                logging.info(f"Constructed context with {len(context_parts)} parts. Length: {len(context)} chars.")
                try:
                    statutes_from_context = self.extract_statutes(context)
                except Exception as e:
                    logging.error(f"Error extracting statutes: {e}", exc_info=True)
                    statutes_from_context = "Error extracting statutes from context."
            else:
                logging.warning("No relevant context parts found from vector DB query.")
                context = "No relevant context could be retrieved from the knowledge base for this query and state. The AI will answer from its general knowledge."
                statutes_from_context = "No specific statutes found as no context was retrieved."

        except Exception as e:
            logging.error(f"Vector DB query/context processing failed: {str(e)}", exc_info=True)
            context = f"Warning: Error retrieving documents from the knowledge base ({str(e)}). The AI will attempt to answer from its general knowledge, which may be less specific or accurate."
            statutes_from_context = "Statute retrieval skipped due to error retrieving context."

        try:
            logging.info("Invoking LLMChain with constructed input...")
            llm_input = {"query": query, "context": context, "state": state, "statutes": statutes_from_context}
            answer_dict = temp_chain.invoke(llm_input)
            answer_text = answer_dict.get('text', '').strip()

            if not answer_text:
                logging.warning("LLM returned an empty answer.")
                answer_text = "<div class='error-message'><span class='error-icon'>⚠️</span>The AI model returned an empty response. This might be due to the query, context limitations, or temporary issues. Please try rephrasing your question or try again later.</div>"
            else:
                logging.info("LLM generated answer successfully.")

            return {"answer": answer_text, "context_used": context}

        except Exception as e:
            logging.error(f"LLM processing failed: {str(e)}", exc_info=True)
            error_message = "Error: AI answer generation failed."
            details = f"Details: {str(e)}"
            if "authentication" in str(e).lower():
                error_message = "Error: Authentication failed. Please double-check your OpenAI API key."
                details = ""
            elif "rate limit" in str(e).lower():
                error_message = "Error: You've exceeded your OpenAI API rate limit or quota. Please check your usage and plan limits, or wait and try again."
                details = ""
            elif "context length" in str(e).lower():
                error_message = "Error: The request was too long for the AI model. This can happen with very complex questions or extensive retrieved context."
                details = "Try simplifying your question or asking about a more specific aspect."
            elif "timeout" in str(e).lower():
                error_message = "Error: The request to the AI model timed out. The service might be busy."
                details = "Please try again in a few moments."

            formatted_error = f"<div class='error-message'><span class='error-icon'>❌</span>{error_message}</div>"
            if details:
                formatted_error += f"<div class='error-details'>{details}</div>"

            return {"answer": formatted_error, "context_used": context}

    def process_query(self, query: str, state: str, openai_api_key: str, n_results: int = 5) -> Dict[str, any]:
        return self.process_query_cached(query.strip(), state, openai_api_key.strip(), n_results)

    def get_states(self) -> List[str]:
        try:
            states = self.vector_db.get_states()
            if not states:
                logging.warning("No states retrieved from vector_db. Returning empty list.")
                return []
            valid_states = sorted(list(set(s for s in states if s and isinstance(s, str) and s != "Select a state...")))
            logging.info(f"Retrieved {len(valid_states)} unique, valid states from VectorDatabase.")
            return valid_states
        except Exception as e:
            logging.error(f"Failed to get states from VectorDatabase: {str(e)}", exc_info=True)
            return ["Error: Could not load states"]

    def load_pdf(self, pdf_path: str) -> int:
        if not os.path.exists(pdf_path):
            logging.error(f"PDF file not found at path: {pdf_path}")
            raise FileNotFoundError(f"PDF file not found: {pdf_path}")
        try:
            logging.info(f"Attempting to load/verify data from PDF: {pdf_path}")
            # Assuming process_and_load_pdf is part of VectorDatabase and correctly implemented
            num_states_processed = self.vector_db.process_and_load_pdf(pdf_path)
            doc_count = self.vector_db.document_collection.count()
            state_count = self.vector_db.state_collection.count()
            total_items = doc_count + state_count

            if total_items > 0:
                logging.info(f"Vector DB contains {total_items} items ({doc_count} docs, {state_count} states). PDF processed or data already existed.")
                current_states = self.get_states()
                return len(current_states) if current_states and "Error" not in current_states[0] else 0
            else:
                logging.warning(f"PDF processing completed, but the vector database appears empty. Check PDF content and processing logs.")
                return 0

        except Exception as e:
            logging.error(f"Failed to load or process PDF '{pdf_path}': {str(e)}", exc_info=True)
            raise RuntimeError(f"Failed to process PDF '{pdf_path}': {e}") from e

    # --- GRADIO INTERFACE (Complete Overhaul for Cohesion, Legibility, and Advanced Look) ---
    def gradio_interface(self):
        def query_interface_wrapper(api_key: str, query: str, state: str) -> str:
            # Basic client-client-side validation for immediate feedback
            if not api_key or not api_key.strip() or not api_key.startswith("sk-"):
                return "<div class='error-message'><span class='error-icon'>⚠️</span>Please provide a valid OpenAI API key (starting with 'sk-'). <a href='https://platform.openai.com/api-keys' target='_blank'>Get one here</a>.</div>"
            if not state or state == "Select a state..." or "Error" in state:
                return "<div class='error-message'><span class='error-icon'>⚠️</span>Please select a valid state from the dropdown.</div>"
            if not query or not query.strip():
                return "<div class='error-message'><span class='error-icon'>⚠️</span>Please enter your question in the text box.</div>"

            # Call the core processing logic
            result = self.process_query(query=query, state=state, openai_api_key=api_key)
            answer = result.get("answer", "<div class='error-message'><span class='error-icon'>⚠️</span>An unexpected error occurred.</div>")

            # Check if the answer already contains an error message (from deeper within process_query)
            if "<div class='error-message'>" in answer:
                return answer # Return the pre-formatted error message directly
            else:
                # Format the successful response with the new UI structure
                formatted_response = f"<div class='response-header'><span class='response-icon'>📜</span>Response for {state}</div><hr class='divider'>{answer}"
                return formatted_response

        try:
            available_states_list = self.get_states()
            dropdown_choices = ["Select a state..."] + (available_states_list if available_states_list and "Error" not in available_states_list[0] else ["Error: States unavailable"])
            initial_value = dropdown_choices[0]
        except Exception: # Catch-all for safety
            dropdown_choices = ["Error: Critical failure loading states"]
            initial_value = dropdown_choices[0]

        # Define example queries, filtering based on available states
        example_queries_base = [
            ["What are the rules for security deposit returns?", "California"],
            ["Can a landlord enter my apartment without notice?", "New York"],
            ["My landlord hasn't made necessary repairs. What can I do?", "Texas"],
        ]
        example_queries = []
        if available_states_list and "Error" not in available_states_list[0] and len(available_states_list) > 0:
            loaded_states_set = set(available_states_list)
            # Filter for examples whose state is in the loaded states
            example_queries = [ex for ex in example_queries_base if ex[1] in loaded_states_set]
            # Add a generic example if no specific state examples match or if list is empty
            if not example_queries:
                example_queries.append(["What basic rights do tenants have?", available_states_list[0] if available_states_list else "California"])
        else: # Fallback if states list is problematic
            example_queries.append(["What basic rights do tenants have?", "California"])


        # --- Custom CSS for "Legal Noir" Theme (Dark Mode First) ---
        custom_css = """
        @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Playfair+Display:wght@700;800;900&display=swap');
        :root {
            /* Dark Theme Colors (Default: Legal Noir) */
            --app-bg-dark: #0F0F1A;
            --header-bg-dark: #1A1A2B;
            --main-card-bg-dark: #1E1E30;
            --card-section-bg-dark: #2A2A40;
            --text-primary-dark: #EAEAF0;
            --text-secondary-dark: #A0A0B0;
            --accent-main-dark: #FFC107;
            --accent-hover-dark: #E0A800;
            --border-dark: #3F3F5A;
            --shadow-dark: 0 1.2rem 3.5rem rgba(0,0,0,0.6);
            --focus-ring-dark: rgba(255, 193, 7, 0.4);
            --error-bg-dark: #4D001A;
            --error-text-dark: #FFB3C2;
            --error-border-dark: #990026;
            /* Light Theme Colors (Alternative: Legal Lumen) */
            --app-bg-light: #F0F2F5;
            --header-bg-light: #E0E4EB;
            --main-card-bg-light: #FFFFFF;
            --card-section-bg-light: #F8F9FA;
            --text-primary-light: #212529;
            --text-secondary-light: #6C757D;
            --accent-main-light: #007bff;
            --accent-hover-light: #0056b3;
            --border-light: #DDE2E8;
            --shadow-light: 0 0.8rem 2.5rem rgba(0,0,0,0.15);
            --focus-ring-light: rgba(0, 123, 255, 0.3);
            --error-bg-light: #F8D7DA;
            --error-text-light: #721C24;
            --error-border-light: #F5C6CB;
            /* General Styling Variables */
            --font-family-main: 'Inter', sans-serif;
            --font-family-header: 'Playfair Display', serif;
            --radius-xs: 4px;
            --radius-sm: 8px;
            --radius-md: 12px;
            --radius-lg: 24px;
            --transition-speed: 0.4s ease-in-out;
            --padding-xl: 4.5rem;
            --padding-lg: 3.5rem;
            --padding-md: 2.5rem;
            --padding-sm: 1.8rem;
        }
        body, .gradio-container {
            font-family: var(--font-family-main) !important;
            background: var(--app-bg-dark) !important;
            color: var(--text-primary-dark) !important;
            margin: 0; padding: 0; min-height: 100vh; font-size: 16px;
            line-height: 1.75; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale;
            transition: background var(--transition-speed), color var(--transition-speed);
        }
        * { box-sizing: border-box; }
        @media (prefers-color-scheme: light) {
            body, .gradio-container { background: var(--app-bg-light) !important; color: var(--text-primary-light) !important; }
        }
        .gradio-container > .flex.flex-col {
            max-width: 1120px; margin: 0 auto !important; padding: 0 !important;
            gap: 0 !important; transition: padding var(--transition-speed);
        }
        .app-header-wrapper {
            background: var(--header-bg-dark); color: var(--text-primary-dark) !important;
            padding: var(--padding-xl) var(--padding-lg) !important; text-align: center !important;
            border-bottom-left-radius: var(--radius-lg); border-bottom-right-radius: var(--radius-lg);
            box-shadow: var(--shadow-dark); position: relative; overflow: hidden; z-index: 10;
            transition: background var(--transition-speed), box-shadow var(--transition-speed);
            margin-bottom: 2.5rem; border: 1px solid var(--border-dark); border-top: none;
            max-width: 1120px; margin-left: auto; margin-right: auto; width: 100%;
        }
        @media (prefers-color-scheme: light) {
            .app-header-wrapper { background: var(--header-bg-light); color: var(--text-primary-light) !important; box-shadow: var(--shadow-light); border: 1px solid var(--border-light); border-top: none; }
        }
        .app-header { display: flex; flex-direction: column; align-items: center; position: relative; z-index: 1; }
        .app-header-logo {
            font-size: 5.5rem; margin-bottom: 0.8rem; line-height: 1;
            filter: drop-shadow(0 0 15px var(--accent-main-dark));
            transform: translateY(-40px); opacity: 0;
            animation: fadeInSlideDown 1.5s ease-out forwards; animation-delay: 0.3s;
            transition: filter var(--transition-speed);
        }
        @media (prefers-color-scheme: light) { .app-header-logo { filter: drop-shadow(0 0 10px var(--accent-main-light)); } }
        .app-header-title {
            font-family: var(--font-family-header) !important; font-size: 4.2rem; font-weight: 900;
            margin: 0 0 0.8rem 0; letter-spacing: -0.07em;
            text-shadow: 0 8px 16px rgba(0,0,0,0.5);
            transform: translateY(-40px); opacity: 0;
            animation: fadeInSlideDown 1.5s ease-out forwards; animation-delay: 0.6s;
            transition: text-shadow var(--transition-speed), color var(--transition-speed);
        }
        @media (prefers-color-scheme: light) { .app-header-title { text-shadow: 0 6px 12px rgba(0,0,0,0.25); } }
        .app-header-tagline {
            font-family: var(--font-family-main) !important; font-size: 1.6rem; font-weight: 300;
            opacity: 0.9; max-width: 900px;
            transform: translateY(-40px); opacity: 0;
            animation: fadeInSlideDown 1.5s ease-out forwards; animation-delay: 0.9s;
            transition: opacity var(--transition-speed);
        }
        @keyframes fadeInSlideDown { from { opacity: 0; transform: translateY(-40px); } to { opacity: 1; transform: translateY(0); } }
        .main-dashboard-container {
            background: var(--main-card-bg-dark) !important; border-radius: var(--radius-lg);
            box-shadow: var(--shadow-dark); border: 1px solid var(--border-dark) !important;
            padding: var(--padding-lg) !important; margin: 0 auto 0.8rem auto;
            z-index: 1; position: relative;
            transition: background var(--transition-speed), border-color var(--transition-speed), box-shadow var(--transition-speed);
            display: flex; flex-direction: column; gap: 2.5rem; max-width: 1120px;
        }
        @media (prefers-color-scheme: light) {
            .main-dashboard-container { background: var(--main-card-bg-light) !important; box-shadow: var(--shadow-light); border: 1px solid var(--border-light) !important; }
        }
        .dashboard-card-section {
            background: var(--card-section-bg-dark) !important; border-radius: var(--radius-md);
            border: 1px solid var(--border-dark); padding: var(--padding-md);
            box-shadow: inset 0 0 10px rgba(0,0,0,0.2);
            transition: background var(--transition-speed), border-color var(--transition-speed), box-shadow var(--transition-speed);
            display: flex; flex-direction: column; gap: 1.5rem;
        }
        @media (prefers-color-scheme: light) {
            .dashboard-card-section { background: var(--card-section-bg-light) !important; border: 1px solid var(--border-light); box-shadow: inset 0 0 8px rgba(0,0,0,0.05); }
        }
        .section-title {
            font-family: var(--font-family-header) !important; font-size: 2.8rem !important; font-weight: 800 !important;
            color: var(--text-primary-dark) !important; text-align: center !important;
            margin: 0 auto 1.8rem auto !important; padding-bottom: 0.8rem !important;
            border-bottom: 2px solid var(--border-dark) !important; width: 100%;
            transition: color var(--transition-speed), border-color var(--transition-speed);
        }
        .sub-section-title { /* MODIFIED FOR CENTERING */
            font-family: var(--font-family-header) !important;
            font-size: 2.5rem !important;
            font-weight: 700 !important;
            color: var(--text-primary-dark) !important;
            text-align: center !important;
            margin-top: 1.5rem !important;
            margin-bottom: 0.8rem !important;
            transition: color var(--transition-speed);
            display: block !important; /* ADDED: Ensure it's a block element */
            width: 100% !important;   /* ADDED: Ensure it takes full width for centering */
        }
        @media (prefers-color-scheme: light) {
            .section-title, .sub-section-title { color: var(--text-primary-light) !important; border-bottom-color: var(--border-light) !important; }
        }
        .dashboard-card-section p, .output-content-wrapper p {
            font-size: 1.15rem; line-height: 1.8; color: var(--text-secondary-dark);
            margin-bottom: 1.2rem; transition: color var(--transition-speed);
        }
        .dashboard-card-section a, .output-content-wrapper a {
            color: var(--accent-main-dark); text-decoration: none; font-weight: 500;
            transition: color var(--transition-speed), text-decoration var(--transition-speed);
        }
        .dashboard-card-section a:hover, .output-content-wrapper a:hover { color: var(--accent-hover-dark); text-decoration: underline; }
        .dashboard-card-section strong, .output-content-wrapper strong { font-weight: 700; color: var(--text-primary-dark); transition: color var(--transition-speed); }
        @media (prefers-color-scheme: light) {
            .dashboard-card-section p, .output-content-wrapper p { color: var(--text-secondary-light); }
            .dashboard-card-section a, .output-content-wrapper a { color: var(--accent-main-light); }
            .dashboard-card-section a:hover, .output-content-wrapper a:hover { color: var(--accent-hover-light); }
            .dashboard-card-section strong, .output-content-wrapper strong { color: var(--text-primary-light); }
        }
        .section-divider { border: none; border-top: 1px solid var(--border-dark); margin: 2rem 0 !important; transition: border-color var(--transition-speed); }
        @media (prefers-color-scheme: light) { .section-divider { border-top: 1px solid var(--border-light); } }
        .input-field-group { margin-bottom: 1rem; }
        .input-row { display: flex; gap: 1.8rem; flex-wrap: wrap; margin-bottom: 1rem; }
        .input-field { flex: 1; }
        .gradio-input-label {
            font-size: 1.2rem !important; font-weight: 500 !important; color: var(--text-primary-dark) !important;
            margin-bottom: 0.8rem !important; display: block !important; transition: color var(--transition-speed);
        }
        .gradio-input-info { font-size: 1.0rem !important; color: var(--text-secondary-dark) !important; margin-top: 0.6rem; transition: color var(--transition-speed); }
        @media (prefers-color-scheme: light) {
            .gradio-input-label { color: var(--text-primary-light) !important; }
            .gradio-input-info { color: var(--text-secondary-light) !important; }
        }
        .gradio-textbox textarea, .gradio-dropdown select, .gradio-textbox input[type=password] {
            border: 2px solid var(--border-dark) !important; border-radius: var(--radius-md) !important;
            padding: 1.3rem 1.6rem !important; font-size: 1.15rem !important;
            background: var(--main-card-bg-dark) !important; color: var(--text-primary-dark) !important;
            width: 100% !important; box-shadow: inset 0 1px 3px rgba(0,0,0,0.3);
            transition: border-color var(--transition-speed), box-shadow var(--transition-speed), background var(--transition-speed), color var(--transition-speed);
        }
        .gradio-textbox textarea { min-height: 180px; }
        .gradio-textbox textarea::placeholder, .gradio-textbox input[type=password]::placeholder { color: #808090 !important; }
        .gradio-textbox textarea:focus, .gradio-dropdown select:focus, .gradio-textbox input[type=password]:focus {
            border-color: var(--accent-main-dark) !important;
            box-shadow: 0 0 0 6px var(--focus-ring-dark) !important, inset 0 1px 3px rgba(0,0,0,0.4);
            outline: none !important;
        }
        @media (prefers-color-scheme: light) {
            .gradio-textbox textarea, .gradio-dropdown select, .gradio-textbox input[type=password] {
                border: 2px solid var(--border-light) !important; background: var(--main-card-bg-light) !important;
                color: var(--text-primary-light) !important; box-shadow: inset 0 1px 3px rgba(0,0,0,0.1);
            }
            .gradio-textbox textarea:focus, .gradio-dropdown select:focus, .gradio-textbox input[type=password]:focus {
                border-color: var(--accent-main-light) !important;
                box-shadow: 0 0 0 6px var(--focus-ring-light) !important, inset 0 1px 3px rgba(0,0,0,0.2);
            }
        }
        .gradio-dropdown select {
            appearance: none; -webkit-appearance: none; -moz-appearance: none;
            background-image: url('data:image/svg+xml;charset=US-ASCII,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%2020%2020%22%20fill%3D%22%23A0A0B0%22%3E%3Cpath%20fill-rule%3D%22evenodd%22%20d%3D%22M5.293%207.293a1%201%200%20011.414%200L10%2010.586l3.293-3.293a1%201%200%20111.414%201.414l-4%204a1%201%200%2001-1.414%200l-4-4a1%201%200%20010-1.414z%22%20clip-rule%3D%22evenodd%22%2F%3E%3C%2Fsvg%3E');
            background-repeat: no-repeat; background-position: right 1.8rem center; background-size: 1.4em;
            padding-right: 5rem !important;
        }
        @media (prefers-color-scheme: light) {
            .gradio-dropdown select {
                background-image: url('data:image/svg+xml;charset=US-ASCII,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%2020%2020%22%20fill%3D%22%236C757D%22%3E%3Cpath%20fill-rule%3D%22evenodd%22%20d%3D%22M5.293%207.293a1%201%200%20011.414%200L10%2010.586l3.293-3.293a1%201%200%20111.414%201.414l-4%204a1%201%200%2001-1.414%200l-4-4a1%201%200%20010-1.414z%22%20clip-rule%3D%22evenodd%22%2F%3E%3C%2Fsvg%3E');
            }
        }
        .button-row { display: flex; gap: 2rem; margin-top: 2rem; flex-wrap: wrap; justify-content: flex-end; }
        .gradio-button {
            border-radius: var(--radius-md) !important; padding: 1.2rem 2.8rem !important;
            font-size: 1.15rem !important; font-weight: 600 !important;
            border: 1px solid transparent !important; box-shadow: 0 6px 20px rgba(0,0,0,0.35);
            transition: all var(--transition-speed) cubic-bezier(0.0, 0.0, 0.2, 1);
        }
        .gradio-button:hover:not(:disabled) { transform: translateY(-6px); box-shadow: 0 12px 28px rgba(0,0,0,0.45) !important; }
        .gradio-button:active:not(:disabled) { transform: translateY(-3px); }
        .gradio-button:disabled {
            background: #3A3A50 !important; color: #6A6A80 !important;
            box-shadow: none !important; border-color: #4A4A60 !important; cursor: not-allowed;
        }
        .gr-button-primary { background: var(--accent-main-dark) !important; color: var(--header-bg-dark) !important; border-color: var(--accent-main-dark) !important; }
        .gr-button-primary:hover:not(:disabled) { background: var(--accent-hover-dark) !important; border-color: var(--accent-hover-dark) !important; }
        .gr-button-secondary { background: transparent !important; color: var(--text-secondary-dark) !important; border: 2px solid var(--border-dark) !important; box-shadow: none !important; }
        .gr-button-secondary:hover:not(:disabled) { background: rgba(255, 193, 7, 0.15) !important; color: var(--accent-main-dark) !important; border-color: var(--accent-main-dark) !important; }
        @media (prefers-color-scheme: light) {
            .gradio-button { box-shadow: 0 6px 20px rgba(0,0,0,0.1); }
            .gradio-button:hover:not(:disabled) { box-shadow: 0 12px 28px rgba(0,0,0,0.2) !important; }
            .gradio-button:disabled { background: #E9ECEF !important; color: #ADB5BD !important; border-color: #DEE2E6 !important; }
            .gr-button-primary { background: var(--accent-main-light) !important; color: #FFFFFF !important; border-color: var(--accent-main-light) !important; }
            .gr-button-primary:hover:not(:disabled) { background: var(--accent-hover-light) !important; border-color: var(--accent-hover-light) !important; }
            .gr-button-secondary { background: transparent !important; color: var(--text-secondary-light) !important; border: 2px solid var(--border-light) !important; }
            .gr-button-secondary:hover:not(:disabled) { background: rgba(0, 123, 255, 0.1) !important; color: var(--accent-main-light) !important; border-color: var(--accent-main-light) !important; }
        }
        .output-card { padding: 0 !important; margin-top: 0 !important; margin-bottom: 0 !important; }
        .output-card .response-header {
            font-size: 1.8rem; font-weight: 700; color: var(--text-primary-dark);
            margin: 0 0 1rem 0; display: flex; align-items: center; gap: 1.2rem;
            transition: color var(--transition-speed);
        }
        .output-card .response-icon { font-size: 2rem; color: var(--accent-main-dark); transition: color var(--transition-speed); }
        .output-card .divider { border: none; border-top: 1px solid var(--border-dark); margin: 1.5rem 0 1.8rem 0; transition: border-color var(--transition-speed); }
        .output-card .output-content-wrapper { font-size: 1.15rem; line-height: 1.8; color: var(--text-primary-dark); transition: color var(--transition-speed); }
        .output-card .output-content-wrapper p { margin-bottom: 1rem; }
        .output-card .output-content-wrapper ul, .output-card .output-content-wrapper ol { margin-left: 2.2rem; margin-bottom: 1.2rem; padding-left: 0; list-style-type: disc; }
        .output-card .output-content-wrapper ol { list-style-type: decimal; }
        .output-card .output-content-wrapper li { margin-bottom: 0.8rem; }
        .output-card .output-content-wrapper strong { font-weight: 700; }
        .output-card .output-content-wrapper a { color: var(--accent-main-dark); text-decoration: underline; }
        .output-card .output-content-wrapper a:hover { color: var(--accent-hover-dark); }
        @media (prefers-color-scheme: light) {
            .output-card .response-header { color: var(--text-primary-light); }
            .output-card .response-icon { color: var(--accent-main-light); }
            .output-card .divider { border-top: 1px solid var(--border-light); }
            .output-card .output-content-wrapper { color: var(--text-primary-light); }
            .output-card .output-content-wrapper a { color: var(--accent-main-light); }
            .output-card .output-content-wrapper a:hover { color: var(--accent-hover-light); }
        }
        .output-card .error-message {
            padding: 1.5rem 2rem; margin-top: 1.5rem; font-size: 1.1rem;
            border-radius: var(--radius-md); background: var(--error-bg-dark);
            color: var(--error-text-dark); border: 2px solid var(--error-border-dark);
            display: flex; align-items: flex-start; gap: 1.5em;
            transition: background var(--transition-speed), color var(--transition-speed), border-color var(--transition-speed);
        }
        .output-card .error-message .error-icon { font-size: 1.8rem; line-height: 1; padding-top: 0.1em; }
        .output-card .error-details { font-size: 0.95rem; margin-top: 0.8rem; opacity: 0.9; word-break: break-word; }
        @media (prefers-color-scheme: light) {
            .output-card .error-message { background: var(--error-bg-light); color: var(--error-text-light); border: 2px solid var(--error-border-light); }
        }
        .output-card .placeholder {
            padding: 2.5rem 2rem; font-size: 1.2rem; border-radius: var(--radius-md);
            border: 3px dashed var(--border-dark); color: var(--text-secondary-dark);
            text-align: center; opacity: 0.8;
            transition: border-color var(--transition-speed), color var(--transition-speed);
        }
        @media (prefers-color-scheme: light) {
            .output-card .placeholder { border-color: var(--border-light); color: var(--text-secondary-light); }
        }
        .examples-section .gr-examples-table {
            border-radius: var(--radius-md) !important; border: 1px solid var(--border-dark) !important;
            overflow: hidden; background: var(--card-section-bg-dark) !important;
            box-shadow: inset 0 0 10px rgba(0,0,0,0.2);
            transition: border-color var(--transition-speed), background var(--transition-speed), box-shadow var(--transition-speed);
        }
        @media (prefers-color-scheme: light) {
            .examples-section .gr-examples-table { border: 1px solid var(--border-light) !important; background: var(--card-section-bg-light) !important; box-shadow: inset 0 0 8px rgba(0,0,0,0.05); }
        }
        .examples-section .gr-examples-table th, .examples-section .gr-examples-table td { padding: 1rem 1.2rem !important; font-size: 1.05rem !important; border: none !important; }
        .examples-section .gr-examples-table th {
            background: var(--header-bg-dark) !important; color: var(--text-primary-dark) !important;
            font-weight: 600 !important; text-align: left;
            transition: background var(--transition-speed), color var(--transition-speed);
        }
        .examples-section .gr-examples-table td {
            background: var(--card-section-bg-dark) !important; color: var(--text-primary-dark) !important;
            border-top: 1px solid var(--border-dark) !important; cursor: pointer;
            transition: background var(--transition-speed), color var(--transition-speed), border-color var(--transition-speed);
        }
        .examples-section .gr-examples-table tr:hover td { background: rgba(255, 193, 7, 0.1) !important; }
        .examples-section .gr-examples-table tr:first-child td { border-top: none !important; }
        @media (prefers-color-scheme: light) {
            .examples-section .gr-examples-table { border: 1px solid var(--border-light) !important; background: var(--card-section-bg-light) !important; }
            .examples-section .gr-examples-table th { background: var(--header-bg-light) !important; color: var(--text-primary-light) !important; }
            .examples-section .gr-examples-table td { background: var(--card-section-bg-light) !important; color: var(--text-primary-light) !important; border-top: 1px solid var(--border-light) !important; }
            .examples-section .gr-examples-table tr:hover td { background: rgba(0, 123, 255, 0.08) !important; }
        }
        .app-footer-wrapper {
            background: var(--header-bg-dark); border-top: 1px solid var(--border-dark) !important;
            margin-top: 0.5rem; padding-top: 2.5rem; padding-bottom: 2.5rem;
            border-top-left-radius: var(--radius-lg); border-top-right-radius: var(--radius-lg);
            box-shadow: inset 0 8px 15px rgba(0,0,0,0.2);
            transition: background var(--transition-speed), border-color var(--transition-speed), box-shadow var(--transition-speed);
            max-width: 1120px; margin-left: auto; margin-right: auto; width: 100%;
        }
        @media (prefers-color-scheme: light) {
            .app-footer-wrapper { background: var(--header-bg-light); border-top: 1px solid var(--border-light) !important; box-shadow: inset 0 6px 12px rgba(0,0,0,0.1); }
        }
        .app-footer { /* MODIFIED FOR RIGHT ALIGNMENT OF TEXT */
            padding: 0 var(--padding-lg) !important;
            display: flex;
            flex-direction: column;
            align-items: stretch; /* MODIFIED: Make child <p> tags take full width */
            max-width: 1120px;
            margin: 0 auto;
        }
        .app-footer p { /* MODIFIED FOR RIGHT ALIGNMENT */
            font-size: 1.05rem !important;
            color: var(--text-secondary-dark) !important;
            margin-bottom: 1rem;
            /* max-width: 900px; /* REMOVED/COMMENTED: To allow full width alignment */
            text-align: right !important; /* MODIFIED: Align text to the right */
            transition: color var(--transition-speed);
            width: 100%; /* ADDED: Ensure <p> takes full width of stretched item */
        }
        .app-footer a { color: var(--accent-main-dark) !important; font-weight: 500; transition: color var(--transition-speed), text-decoration var(--transition-speed); }
        .app-footer a:hover { color: var(--accent-hover-dark) !important; text-decoration: underline; }
        @media (prefers-color-scheme: light) {
            .app-footer-wrapper { border-top-color: var(--border-light) !important; }
            .app-footer p { color: var(--text-secondary-light) !important; }
            .app-footer a { color: var(--accent-main-light) !important; }
            .app-footer a:hover { color: var(--accent-hover-light) !important; }
        }
        :focus-visible {
            outline: 5px solid var(--accent-main-dark) !important; outline-offset: 5px;
            box-shadow: 0 0 0 8px var(--focus-ring-dark) !important;
            border-radius: var(--radius-md) !important;
        }
        @media (prefers-color-scheme: light) {
            :focus-visible { outline-color: var(--accent-main-light) !important; box_shadow: 0 0 0 8px var(--focus-ring-light) !important; }
        }
        .gradio-button span:focus { outline: none !important; }
        .gr-examples .gr-label, .gr-examples button.gr-button-filter, .gr-examples .label-wrap,
        .gr-examples div[data-testid*="label-text"], .gr-examples span[data-testid*="label-text"],
        .gr-examples div[class*="label"], .gr-examples .gr-example-label,
        .gr-examples .gr-box.gr-component.gradio-example > div:first-child:has(> span[data-testid]),
        .gr-examples .gr-box.gr-component.gradio-example > div:first-child > span,
        .gr-examples .gr-accordion-header, .gr-examples .gr-accordion-title, .gr-examples .gr-accordion-toggle-icon,
        .gr-examples .gr-accordion-header button, .gr-examples .gr-button.gr-button-filter,
        .gr-examples .gr-button.gr-button-primary.gr-button-filter,
        .gr-examples .gr-examples-header, .gr-examples .gr-examples-header > * {
            display: none !important; visibility: hidden !important; width: 0 !important; height: 0 !important;
            overflow: hidden !important; margin: 0 !important; padding: 0 !important; border: 0 !important;
            font-size: 0 !important; line-height: 0 !important; position: absolute !important;
            pointer-events: none !important;
        }
        /* Responsive Adjustments (meticulously refined) - KEPT AS IS */
        @media (max-width: 1024px) {
            .gradio-container > .flex.flex-col { max-width: 960px; padding: 0 1.5rem !important; }
            .app-header-title { font-size: 3.8rem; } .app-header-tagline { font-size: 1.5rem; }
            .app-header-wrapper { padding: var(--padding-md) var(--padding-lg) !important; margin-bottom: 2rem; border-bottom-left-radius: var(--radius-md); border-bottom-right-radius: var(--radius-md); }
            .main-dashboard-container { padding: var(--padding-md) !important; margin-bottom: 0.6rem; border-radius: var(--radius-md); gap: 2rem; }
            .dashboard-card-section { padding: var(--padding-sm); border-radius: var(--radius-sm); }
            .section-title { font-size: 2.2rem !important; margin-bottom: 1.5rem !important; }
            .sub-section-title { font-size: 1.8rem !important; margin-bottom: 0.7rem !important; }
            .section-divider { margin: 1.8rem 0; } .input-row { gap: 1.5rem; } .input-field { min-width: 280px; }
            .gradio-textbox textarea { min-height: 160px; } .output-card .response-header { font-size: 1.7rem; }
            .examples-section { padding-top: 1.2rem; }
            .examples-section .gr-examples-table th, .examples-section .gr-examples-table td { padding: 0.9rem 1.1rem !important; }
            .app-footer-wrapper { margin-top: 0.6rem; border-top-left-radius: var(--radius-md); border-top-right-radius: var(--radius-md); }
            .app-footer { padding: 0 1.5rem !important; }
        }
        @media (max-width: 768px) {
            .gradio-container > .flex.flex-col { padding: 0 1rem !important; }
            .app-header-wrapper { padding: var(--padding-sm) var(--padding-md) !important; margin-bottom: 1.8rem; border-bottom-left-radius: var(--radius-md); border-bottom-right-radius: var(--radius-md); }
            .app-header-logo { font-size: 4.5rem; margin-bottom: 0.6rem; } .app-header-title { font-size: 3.2rem; letter-spacing: -0.06em; }
            .app-header-tagline { font-size: 1.3rem; }
            .main-dashboard-container { padding: var(--padding-sm) !important; margin-bottom: 0.5rem; border-radius: var(--radius-md); gap: 1.8rem; }
            .dashboard-card-section { padding: 1.5rem; border-radius: var(--radius-sm); }
            .section-title { font-size: 2rem !important; margin-bottom: 1.2rem !important; }
            .sub-section-title { font-size: 1.6rem !important; margin-top: 1rem !important; margin-bottom: 0.6rem !important; }
            .section-divider { margin: 1.5rem 0; } .input-row { flex-direction: column; gap: 1rem; } .input-field { min-width: 100%; }
            .gradio-textbox textarea { min-height: 140px; } .button-row { justify-content: stretch; gap: 1rem; }
            .gradio-button { width: 100%; padding: 1.1rem 2rem !important; font-size: 1.1rem !important; }
            .output-card .response-header { font-size: 1.5rem; } .output-card .response-icon { font-size: 1.7rem; }
            .output-card .placeholder { padding: 2.5rem 1.5rem; font-size: 1.1rem; }
            .examples-section { padding-top: 1.2rem; }
            .examples-section .gr-examples-table th, .examples-section .gr-examples-table td { padding: 0.9rem 1.1rem !important; font-size: 1.0rem !important; }
            .app-footer-wrapper { margin-top: 0.5rem; border-top-left-radius: var(--radius-md); border-top-right-radius: var(--radius-md); padding-top: 2rem; padding-bottom: 2rem; }
            .app-footer { padding: 0 1rem !important; }
        }
        @media (max-width: 480px) {
            .gradio-container > .flex.flex-col { padding: 0 0.8rem !important; }
            .app-header-wrapper { padding: 1.2rem 1rem !important; margin-bottom: 1.5rem; border-bottom-left-radius: var(--radius-sm); border-bottom-right-radius: var(--radius-sm); }
            .app-header-logo { font-size: 3.8rem; margin-bottom: 0.5rem; } .app-header-title { font-size: 2.8rem; }
            .app-header-tagline { font-size: 1.1rem; }
            .main-dashboard-container { padding: 1.2rem !important; margin-bottom: 0.4rem; border-radius: var(--radius-sm); gap: 1.5rem; }
            .dashboard-card-section { padding: 1rem; border-radius: var(--radius-xs); }
            .section-title { font-size: 1.8rem !important; margin-bottom: 1rem !important; }
            .sub-section-title { font-size: 1.4rem !important; margin-top: 0.8rem !important; margin-bottom: 0.5rem !important; }
            .section-divider { margin: 1rem 0; }
            .gradio-textbox textarea, .gradio-dropdown select, .gradio-textbox input[type=password] { font-size: 1.05rem !important; padding: 1rem 1.2rem !important; }
            .gradio-textbox textarea { min-height: 120px; }
            .gradio-button { padding: 1rem 1.5rem !important; font-size: 1rem !important; }
            .output-card .response-header { font-size: 1.4rem; } .output-card .response-icon { font-size: 1.5rem; }
            .output-card .placeholder { padding: 2rem 1rem; font-size: 1.05rem; }
            .examples-section { padding-top: 0.8rem; }
            .examples-section .gr-examples-table th, .examples-section .gr-examples-table td { padding: 0.6rem 0.8rem !important; font-size: 0.95rem !important; }
            .app-footer-wrapper { margin-top: 0.4rem; border-top-left-radius: var(--radius-sm); border-top-right-radius: var(--radius-sm); padding-top: 1.5rem; padding-bottom: 1.5rem; }
            .app-footer { padding: 0 0.8rem !important; }
        }
        """

        with gr.Blocks(theme=None, css=custom_css, title="Landlord-Tenant Rights Assistant") as demo:
            # --- Header Section ---
            with gr.Group(elem_classes="app-header-wrapper"):
                gr.Markdown(
                    """
                    <div class="app-header">
                        <span class="app-header-logo">⚖️</span>
                        <h1 class="app-header-title">Landlord-Tenant Rights Assistant</h1>
                        <p class="app-header-tagline">Empowering You with State-Specific Legal Insights</p>
                    </div>
                    """
                )

            # --- NEW: Main Dashboard Console Container (This holds everything central) ---
            with gr.Column(elem_classes="main-dashboard-container"):

                # --- Section 1: Introduction and Disclaimer Card ---
                with gr.Group(elem_classes="dashboard-card-section"):
                    gr.Markdown("<h3 class='sub-section-title'>Welcome & Disclaimer</h3>") # Should be centered by CSS
                    gr.Markdown(
                        """
                        <p>Navigate landlord-tenant laws with ease. This assistant provides detailed, state-specific answers grounded in legal authority.</p>
                        <p><strong>Disclaimer:</strong> This tool is for informational purposes only and does not constitute legal advice. For specific legal guidance, always consult a licensed attorney in your jurisdiction.</p>
                        """
                    )

                # --- Section 2: OpenAI API Key Input Card ---
                with gr.Group(elem_classes="dashboard-card-section"):
                    gr.Markdown("<h3 class='sub-section-title'>OpenAI API Key</h3>") # Should be centered by CSS
                    api_key_input = gr.Textbox(
                        label="", 
                        type="password", placeholder="Enter your API key (e.g., sk-...)",
                        info="Required to process your query. Securely used per request, not stored. <a href='https://platform.openai.com/api-keys' target='_blank'>Get one free from OpenAI</a>.", lines=1
                    )

                # --- Section 3: Query Input and State Selection Card ---
                with gr.Group(elem_classes="dashboard-card-section"):
                    gr.Markdown("<h3 class='sub-section-title'>Ask Your Question</h3>") # Should be centered by CSS
                    with gr.Row(elem_classes="input-row"): 
                        with gr.Column(elem_classes="input-field", scale=3):
                            query_input = gr.Textbox(
                                label="Question", placeholder="E.g., What are the rules for security deposit returns in my state?",
                                lines=5, max_lines=10
                            )
                        with gr.Column(elem_classes="input-field", scale=1): 
                            state_input = gr.Dropdown(
                                label="Select State", choices=dropdown_choices, value=initial_value,
                                allow_custom_value=False
                            )
                    with gr.Row(elem_classes="button-row"):
                        clear_button = gr.Button("Clear", variant="secondary", elem_classes=["gr-button-secondary"])
                        submit_button = gr.Button("Submit Query", variant="primary", elem_classes=["gr-button-primary"])

                # --- Section 4: Output Display Card ---
                with gr.Group(elem_classes="dashboard-card-section"):
                    gr.Markdown("<h3 class='sub-section-title'>Legal Assistant's Response</h3>") # Should be centered by CSS
                    output = gr.Markdown(
                        value="<div class='placeholder output-card'>The answer will appear here after submitting your query.</div>",
                        elem_classes="output-content-wrapper output-card" 
                    )

                # --- Section 5: Example Questions Section (NO ACCORDION, direct display) ---
                with gr.Group(elem_classes="dashboard-card-section examples-section"):
                    gr.Markdown("<h3 class='sub-section-title'>Example Questions to Ask</h3>") # Should be centered by CSS
                    if example_queries:
                        gr.Examples(
                            examples=example_queries, inputs=[query_input, state_input],
                            examples_per_page=5,
                            label="", 
                        )
                    else:
                        gr.Markdown("<div class='placeholder'>Sample questions could not be loaded.</div>")

            # --- Footer Section ---
            with gr.Group(elem_classes="app-footer-wrapper"):
                gr.Markdown( # Text inside these <p> tags will be right-aligned by CSS
                    """
                    <div class="app-footer">
                        <p>This tool is for informational purposes only and does not constitute legal advice. For legal guidance, always consult with a licensed attorney in your jurisdiction.</p>
                        <p>Developed by <strong>Nischal Subedi</strong>.
                        Connect on <a href="https://www.linkedin.com/in/nischal1/" target='_blank'>LinkedIn</a>
                        or explore insights at <a href="https://datascientistinsights.substack.com/" target='_blank'>Substack</a>.</p>
                    </div>
                    """
                )

            # --- Event Listeners (Logic remains identical) ---
            submit_button.click(
                fn=query_interface_wrapper, inputs=[api_key_input, query_input, state_input], outputs=output, api_name="submit_query"
            )
            clear_button.click(
                fn=lambda: (
                    "", 
                    "", 
                    initial_value, 
                    "<div class='placeholder output-card'>Inputs cleared. Ready for your next question.</div>"
                ),
                inputs=[], outputs=[api_key_input, query_input, state_input, output]
            )
            logging.info("Completely new, cohesive, dynamic, and legible Gradio interface created with Legal Console theme and UI fixes.")
            return demo

# --- Main Execution Block (remains untouched from original logic) ---
if __name__ == "__main__":
    logging.info("Starting Landlord-Tenant Rights Bot application...")
    try:
        SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
        DEFAULT_PDF_PATH = os.path.join(SCRIPT_DIR, "tenant-landlord.pdf") 
        DEFAULT_DB_PATH = os.path.join(SCRIPT_DIR, "chroma_db")

        PDF_PATH = os.getenv("PDF_PATH", DEFAULT_PDF_PATH)
        VECTOR_DB_PATH = os.getenv("VECTOR_DB_PATH", DEFAULT_DB_PATH)

        os.makedirs(os.path.dirname(VECTOR_DB_PATH), exist_ok=True)

        logging.info(f"Attempting to load PDF from: {PDF_PATH}")
        if not os.path.exists(PDF_PATH):
            logging.error(f"FATAL: PDF file not found at the specified path: {PDF_PATH}")
            print(f"\n--- CONFIGURATION ERROR ---\nPDF file ('{os.path.basename(PDF_PATH)}') not found at: {PDF_PATH}.\nPlease ensure it exists or set 'PDF_PATH' environment variable.\n---------------------------\n")
            exit(1)

        if not os.access(PDF_PATH, os.R_OK):
            logging.error(f"FATAL: PDF file at '{PDF_PATH}' exists but is not readable. Check file permissions.")
            print(f"\n--- PERMISSION ERROR ---\nPDF file ('{os.path.basename(PDF_PATH)}') found but not readable at: {PDF_PATH}\nPlease check file permissions (e.g., using 'chmod +r' in terminal).\n---------------------------\n")
            exit(1)
        
        logging.info(f"PDF file '{os.path.basename(PDF_PATH)}' found and is readable.")

        vector_db_instance = VectorDatabase(persist_directory=VECTOR_DB_PATH)
        rag = RAGSystem(vector_db=vector_db_instance)
        
        # Ensure vector_db.py has process_and_load_pdf and it's called appropriately
        # Example: if rag.load_pdf handles it internally based on db content.
        # If not, you might need to call vector_db_instance.process_and_load_pdf(PDF_PATH) here
        # For now, assuming rag.load_pdf is sufficient as per original structure.
        rag.load_pdf(PDF_PATH) 

        app_interface = rag.gradio_interface()
        SERVER_PORT = int(os.getenv("PORT", 7860)) # Use PORT env var if on Spaces/Cloud, else 7860
        
        logging.info(f"Launching Gradio app on http://0.0.0.0:{SERVER_PORT}")
        print(f"\n--- Gradio App Running ---\nAccess at: http://localhost:{SERVER_PORT} or your public Spaces URL\n--------------------------\n")
        app_interface.launch(server_name="0.0.0.0", server_port=SERVER_PORT, share=False) # share=False is typical for Spaces

    except ModuleNotFoundError as e:
        if "vector_db" in str(e):
             logging.error(f"FATAL: Could not import VectorDatabase. Ensure 'vector_db.py' is in the same directory and 'chromadb', 'langchain', 'pypdf', 'sentence-transformers' are installed.", exc_info=True)
             print(f"\n--- MISSING DEPENDENCY OR FILE ---\nCould not find/import 'vector_db.py' or one of its dependencies.\nError: {e}\nPlease ensure 'vector_db.py' is present and all required packages (chromadb, langchain, pypdf, sentence-transformers, etc.) are in your requirements.txt and installed.\n---------------------------\n")
        else:
            logging.error(f"Application startup failed due to a missing module: {str(e)}", exc_info=True)
            print(f"\n--- FATAL STARTUP ERROR - MISSING MODULE ---\n{str(e)}\nPlease ensure all dependencies are installed.\nCheck logs for more details.\n---------------------------\n")
        exit(1)
    except FileNotFoundError as e:
        logging.error(f"Application startup failed due to a missing file: {str(e)}", exc_info=True)
        print(f"\n--- FATAL STARTUP ERROR - FILE NOT FOUND ---\n{str(e)}\nPlease ensure the file exists at the specified path.\nCheck logs for more details.\n---------------------------\n")
        exit(1)
    except Exception as e:
        logging.error(f"Application startup failed: {str(e)}", exc_info=True)
        print(f"\n--- FATAL STARTUP ERROR ---\n{str(e)}\nCheck logs for more details.\n---------------------------\n")
        exit(1)