app.py

import gradio as gr
import requests
import json
import logging
import os
from dotenv import load_dotenv
from typing import Dict, List, Tuple
# Load environment variables
load_dotenv()
# Configure logging
logging.basicConfig(
    filename='gradio_frontend.log',
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s'
)

# API Configuration
API_BASE_URL=os.getenv("API_BASE_URL")
async def process_query(message: str, language: str, mode: str, chat_history: List[Dict]) -> Tuple[str, str]:
    """Make API request to get chatbot response"""
    try:
        payload = {
            "message": message,
            "language": language,
            "mode": mode
        }
        
        response = requests.post(
            f"{API_BASE_URL}/api/query",
            json=payload
        )
        response.raise_for_status()
        
        result = response.json()
        return result["answer"], result.get("id")
        
    except requests.RequestException as e:
        logging.error(f"API request failed: {str(e)}")
        return f"Sorry, there was an error processing your request: {str(e)}", None

async def submit_feedback(feedback_type: str, full_chat_history: List[Dict], language_choice: str, mode: str) -> str:
    """Submit feedback via API"""
    try:
        if mode == "Private":
            return "Feedback is disabled in private mode."
            
        if not full_chat_history or len(full_chat_history) < 2:
            return "No recent interaction to provide feedback for."

        # Get the last assistant message with an ID
        assistant_messages = [msg for msg in full_chat_history 
                              if msg.get("role") == "assistant" and "id" in msg]
        
        if not assistant_messages:
            logging.error("No assistant messages with ID found in chat history")
            return "No response found to provide feedback for."
            
        last_message = assistant_messages[-1]
        question_id = last_message.get("id")

        if not question_id:
            logging.error(f"No ID found in last message: {last_message}")
            return "Question ID not found. Please try asking another question."

        logging.info(f"Submitting feedback for question ID: {question_id}")
        
        # Submit feedback
        payload = {
            "question_id": question_id,
            "feedback_type": feedback_type,
            "language": language_choice,
            "mode": mode
        }

        response = requests.post(
            f"{API_BASE_URL}/api/feedback",
            json=payload
        )
        response.raise_for_status()
        
        return "Thanks for your feedback! Your response has been recorded."
        
    except requests.RequestException as e:
        logging.error(f"Failed to submit feedback: {str(e)}")
        return f"Sorry, there was an error submitting your feedback: {str(e)}"
    except Exception as e:
        logging.error(f"Unexpected error in submit_feedback: {str(e)}")
        return "An unexpected error occurred. Please try again."

# Create Gradio interface
with gr.Blocks(title="RRA FAQ Chatbot") as demo:
    full_chat_history = gr.State([])  # Add this line
    
    gr.Markdown(
        """
        # RRA FAQ Chatbot
        Ask tax-related questions in English or Kinyarwanda
        """
    )
    
    # Add mode selector
    with gr.Row():
        interaction_mode = gr.Radio(
            choices=["Normal", "Private"],
            value="Normal",
            label="Interaction Mode",
            info="Normal: Stores interactions to improve service | Private: No data storage"
        )
    
    with gr.Row():
        gr.Markdown(
            """
            > 📝 **Data Storage Notice:** 
            > - Normal Mode: Questions and interactions are stored to improve our service
            > - Private Mode: No data is stored, feedback feature is disabled
            """
        )
    
    # Add language selector
    language = gr.Radio(
        choices=["English", "Kinyarwanda"],
        value="English",
        label="Select Language / Hitamo Ururimi"
    )
    
    chatbot = gr.Chatbot(
        value=[],
        show_label=False,
        height=400
    )
    
    with gr.Row():
        msg = gr.Textbox(
            label="Ask your question",
            placeholder="Type your tax-related question here...",
            show_label=False
        )
        submit = gr.Button("Send")
    
    # Add feedback section
    feedback_container = gr.Row(visible=True)
    with feedback_container:
        with gr.Column(scale=2):
            feedback_label = gr.Markdown("Was this response helpful?")
        with gr.Column(scale=1):
            feedback_positive = gr.Button("👍 Helpful")
        with gr.Column(scale=1):
            feedback_negative = gr.Button("👎 Not Helpful")
    
    # Add feedback status message
    feedback_status = gr.Markdown("")
    
    async def respond(message, lang, mode, chat_history, full_chat_history):
        """Process a user message and update chat history"""
        try:
            if chat_history is None:
                chat_history = []
            if full_chat_history is None:
                full_chat_history = []

            # Get response from API
            bot_message, question_id = await process_query(message, lang, mode, chat_history)
            if not bot_message:
                return "", chat_history, full_chat_history

            # Build new messages
            user_message = {
                "content": message,
                "role": "user"
            }
            
            assistant_message = {
                "content": bot_message,
                "role": "assistant",
                "id": question_id  # Store ID in the message
            }

            # Append to full chat history
            new_full_history = full_chat_history + [user_message, assistant_message]

            # Prepare messages for chatbot display
            new_chat_history = chat_history + [[message, bot_message]]
            return "", new_chat_history, new_full_history

        except Exception as e:
            logging.error(f"Error in respond function: {e}")
            return "", chat_history, full_chat_history

    def update_mode(mode: str):
        """Update UI when mode changes"""
        is_private = (mode == "Private")
        return {
            feedback_container: gr.update(visible=not is_private),
            feedback_status: gr.update(value="" if not is_private else "Feedback is disabled in private mode")
        }
    
    # Connect feedback buttons
    async def submit_positive_feedback(full_chat_history, language_choice, mode):
        return await submit_feedback("positive", full_chat_history, language_choice, mode)

    async def submit_negative_feedback(full_chat_history, language_choice, mode):
        return await submit_feedback("negative", full_chat_history, language_choice, mode)
    
    feedback_positive.click(
        fn=submit_positive_feedback,
        inputs=[full_chat_history, language, interaction_mode],
        outputs=feedback_status
    )
    
    feedback_negative.click(
        fn=submit_negative_feedback,
        inputs=[full_chat_history, language, interaction_mode],
        outputs=feedback_status
    )

    # Update UI when mode changes
    interaction_mode.change(
        fn=update_mode,
        inputs=[interaction_mode],
        outputs=[feedback_container, feedback_status]
    )
    
    # Example questions
    with gr.Row() as english_examples_row:
        gr.Examples(
            examples=[
                "What is VAT in Rwanda?",
                "How do I register for taxes?",
                "What are the tax payment deadlines?",
                "How can I get a TIN number?",
                "How do I get purchase code?"
            ],
            inputs=msg,
            label="English Examples"
        )
    
    with gr.Row(visible=False) as kinyarwanda_examples_row:
        gr.Examples(
            examples=[
                "Ese VAT ni iki mu Rwanda?",
                "Nabona TIN number nte?",
                "Ni ryari tugomba kwishyura imisoro?",
                "Ese nandikwa nte ku musoro?",
                "Ni gute nabone kode yo kugura?"
            ],
            inputs=msg,
            label="Kinyarwanda Examples"
        )
    
    def toggle_language_interface(language_choice):
        if language_choice == "English":
            placeholder_text = "Type your tax-related question here..."
            return {
                msg: gr.update(placeholder=placeholder_text),
                english_examples_row: gr.update(visible=True),
                kinyarwanda_examples_row: gr.update(visible=False)
            }
        else:
            placeholder_text = "Andika ibibazo bijyanye n'umusoro hano"
            return {
                msg: gr.update(placeholder=placeholder_text),
                english_examples_row: gr.update(visible=False),
                kinyarwanda_examples_row: gr.update(visible=True)
            }
    
    # Connect user inputs
    msg.submit(
        respond,
        [msg, language, interaction_mode, chatbot, full_chat_history],
        [msg, chatbot, full_chat_history]
    )
    submit.click(
        respond,
        [msg, language, interaction_mode, chatbot, full_chat_history],
        [msg, chatbot, full_chat_history]
    )
    
    # Update interface on language change
    language.change(
        fn=toggle_language_interface,
        inputs=language,
        outputs=[msg, english_examples_row, kinyarwanda_examples_row]
    )
    
    gr.Markdown(
        """
        ### About
        - Created by: [Cedric](mailto:[email protected])
        - Data source: [RRA Website FAQ](https://www.rra.gov.rw/en/domestic-tax-services/faqs)
        
        **Disclaimer:** This chatbot provides general tax information. For official guidance, 
        consult RRA or call 3004.
        """
    )

if __name__ == "__main__":
    try:
        demo.launch(share=False)
        logging.info("Gradio app launched successfully.")
    except Exception as launch_error:
        logging.critical(f"Failed to launch Gradio app: {launch_error}")
        raise