Update app.py

app.py

@@ -1,173 +1,137 @@
-import streamlit as st
-from streamlit_ace import st_ace
-from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
-from huggingface_hub import HfApi
 import os
 import subprocess
-import black
-from pylint import lint
-from io import StringIO
-import sys
-import re
-from typing import List, Dict
-from streamlit_jupyter import StreamlitPatcher, tqdm
-
-# This line should be at the top of your script
-StreamlitPatcher().jupyter()  # This patches Streamlit to work in Jupyter
-
-# Access Hugging Face API key from secrets
-hf_token = st.secrets["hf_token"]
-if not hf_token:
-    st.error("Hugging Face API key not found. Please make sure it is set in the secrets.")
-
-HUGGING_FACE_REPO_URL = "https://huggingface.co/spaces/acecalisto3/0shotTest"
-PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), 'user_projects'))
-AVAILABLE_CODE_GENERATIVE_MODELS = ["bigcode/starcoder", "Salesforce/codegen-350M-mono", "microsoft/CodeGPT-small"]
-
-# Create PROJECT_ROOT if it doesn't exist
-if not os.path.exists(PROJECT_ROOT):
-    os.makedirs(PROJECT_ROOT)
-
-# Global state management
-if 'chat_history' not in st.session_state:
-    st.session_state.chat_history = []
-if 'terminal_history' not in st.session_state:
-    st.session_state.terminal_history = []
-if 'workspace_projects' not in st.session_state:
-    st.session_state.workspace_projects = {}
-if 'current_project' not in st.session_state:
-    st.session_state.current_project = None
-
-# AI Guide Toggle
-ai_guide_level = st.sidebar.radio("AI Guide Level", ["Full Assistance", "Partial Assistance", "No Assistance"])
-
-# Load the CodeGPT tokenizer and model
-code_generator_tokenizer = AutoTokenizer.from_pretrained("microsoft/CodeGPT-small-py", clean_up_tokenization_spaces=True)
-code_generator = pipeline("text-generation", model="microsoft/CodeGPT-small-py", tokenizer=code_generator_tokenizer)
-
-class AIAgent:
-    def __init__(self, name: str, description: str, skills: List[str]):
-        self.name = name
-        self.description = description
-        self.skills = skills
-
-    def generate_agent_response(self, prompt: str, project_name: str) -> str:
-        # Simple logic to demonstrate agent capabilities
-        if "create file" in prompt.lower():
-            file_name = re.search(r"create file (\w+\.?\w*)", prompt.lower())
-            if file_name:
-                return self.create_file(project_name, file_name.group(1), "# New file created")
-            else:
-                return "I'm sorry, I couldn't understand the file name. Please specify the file name clearly."
-        
-        elif "add code" in prompt.lower():
-            file_name = re.search(r"add code to (\w+\.?\w*)", prompt.lower())
-            if file_name:
-                code_to_add = prompt.split("add code to")[1].split(":", 1)[-1].strip()
-                return self.add_code_to_file(project_name, file_name.group(1), code_to_add)
-            else:
-                return "I'm sorry, I couldn't understand the file name. Please specify the file name clearly."
-        
-        elif "create project" in prompt.lower():
-            new_project_name = re.search(r"create project (\w+)", prompt.lower())
-            if new_project_name:
-                return self.create_project(new_project_name.group(1))
-            else:
-                return "I'm sorry, I couldn't understand the project name. Please specify the project name clearly."
-        
+import random
+import json
+from datetime import datetime
+import gradio as gr  # Corrected import for gradio
+
+class App(gr.Blocks):  # Corrected class inheritance
+    def __init__(self):
+        super().__init__()
+        self.app_state = {"components": []}
+        self.terminal_history = ""
+        self.components_registry = {
+            "Button": {
+                "properties": {
+                    "label": "Click Me",
+                    "onclick": ""
+                },
+                "description": "A clickable button",
+                "code_snippet": "gr.Button(value='{{label}}', variant='primary')"
+            },
+            # ... Other component definitions
+        }
+        self.nlp_model_names = [
+            "google/flan-t5-small",
+            # ... Other NLP model names
+        ]
+        self.nlp_models = []
+        # self.initialize_nlp_models()  # Moved to run() for Gradio
+        self.exited = False  # Add the missing attribute
+
+    def initialize_nlp_models(self):
+        for nlp_model_name in self.nlp_model_names:
+            try:
+                # Assuming the use of transformers library for NLP models
+                from transformers import pipeline
+                model = pipeline('text-generation', model=nlp_model_name)
+                self.nlp_models.append(model)
+            except Exception as e:
+                print(f"Failed to load model {nlp_model_name}: {e}")
+                self.nlp_models.append(None)
+
+    def get_nlp_response(self, input_text, model_index):
+        if self.nlp_models[model_index]:
+            response = self.nlp_models[model_index](input_text)
+            return response[0]['generated_text']
         else:
-            return f"I understand you're asking about '{prompt}'. How can I assist you with this in the context of your project?"
-
-    def create_project(self, project_name: str) -> str:
-        project_path = os.path.join(PROJECT_ROOT, project_name)
-        if not os.path.exists(project_path):
-            os.makedirs(project_path)
-            st.session_state.workspace_projects[project_name] = {'files': []}
-            return f"Project '{project_name}' created successfully."
+            return "NLP model not available."
+
+    class Component:
+        def __init__(self, type, properties=None, id=None):
+            self.type = type
+            self.properties = properties or {}
+            self.id = id or f"{type}_{random.randint(1000, 9999)}"
+
+        def to_dict(self):
+            return {
+                "type": self.type,
+                "properties": self.properties,
+                "id": self.id
+            }
+
+        def render(self):
+            code_snippet = self.properties.get("code_snippet", "")
+            for key, value in self.properties.items():
+                code_snippet = code_snippet.replace(f"{{{{{key}}}}}", str(value))
+            return code_snippet
+
+    def update_app_canvas(self):
+        code = ""
+        for component in self.app_state["components"]:
+            code += component.render() + "\n"
+        return code
+
+    def add_component(self, component_type):
+        if component_type in self.components_registry:
+            component = self.Component(
+                type=component_type,
+                properties=self.components_registry[component_type]["properties"]
+            )
+            self.app_state["components"].append(component)
+            # self.update_app_canvas()  # Updated to return code
         else:
-            return f"Project '{project_name}' already exists."
-
-    def create_file(self, project_name: str, file_name: str, content: str) -> str:
-        project_path = os.path.join(PROJECT_ROOT, project_name)
-        if not os.path.exists(project_path):
-            return f"Project '{project_name}' does not exist."
-        
-        file_path = os.path.join(project_path, file_name)
-        with open(file_path, "w") as file:
-            file.write(content)
-        st.session_state.workspace_projects[project_name]['files'].append(file_name)
-        return f"File '{file_name}' created in project '{project_name}'."
-
-    def add_code_to_file(self, project_name: str, file_name: str, code: str) -> str:
-        project_path = os.path.join(PROJECT_ROOT, project_name)
-        file_path = os.path.join(project_path, file_name)
-        if not os.path.exists(file_path):
-            return f"File '{file_name}' does not exist in project '{project_name}'."
-        
-        with open(file_path, "a") as file:
-            file.write("\n" + code)
-        return f"Code added to '{file_name}' in project '{project_name}'."
-
-# Initialize example agents
-example_agents = [
-    AIAgent(
-        name="CodeAssistant",
-        description="An AI agent that helps with coding tasks",
-        skills=["create_project", "create_file", "add_code_to_file"]
-    )
-]
-
-def main():
-    st.title("AI-Guided Workspace")
-
-    # Sidebar for project selection and creation
-    st.sidebar.header("Project Management")
-    project_name = st.sidebar.text_input("Enter project name:")
-    if st.sidebar.button("Create Project"):
-        result = example_agents[0].create_project(project_name)
-        st.sidebar.write(result)
-    
-    projects = list(st.session_state.workspace_projects.keys())
-    selected_project = st.sidebar.selectbox("Select a project", projects, index=0 if projects else None)
-    if selected_project:
-        st.session_state.current_project = selected_project
-
-    # Main area
-    if st.session_state.current_project:
-        st.header(f"Current Project: {st.session_state.current_project}")
-
-        # Chat with AI Agent
-        st.subheader("Chat with AI Agent")
-        user_input = st.text_input("Enter your message:")
-        if st.button("Send"):
-            agent_response = example_agents[0].generate_agent_response(user_input, st.session_state.current_project)
-            st.session_state.chat_history.append((user_input, agent_response))
-
-        # Display chat history
-        for user, agent in st.session_state.chat_history:
-            st.text(f"You: {user}")
-            st.text(f"Agent: {agent}")
-
-        # Code Editor
-        st.subheader("Code Editor")
-        file_name = st.text_input("File name:")
-        code = st_ace(language="python", theme="monokai", key="code_editor")
-        if st.button("Save File"):
-            result = example_agents[0].create_file(st.session_state.current_project, file_name, code)
-            st.write(result)
-
-        # Display project files
-        st.subheader("Project Files")
-        if st.session_state.current_project in st.session_state.workspace_projects:
-            for file in st.session_state.workspace_projects[st.session_state.current_project]['files']:
-                st.text(file)
-                if st.button(f"View {file}"):
-                    file_path = os.path.join(PROJECT_ROOT, st.session_state.current_project, file)
-                    with open(file_path, "r") as f:
-                        st.code(f.read())
+            print(f"Component type {component_type} not found in registry.")
+
+    def run_terminal_command(self, command, history):
+        try:
+            result = subprocess.run(command, shell=True, capture_output=True, text=True)
+            history += result.stdout + result.stderr
+            return history
+        except Exception as e:
+            return str(e)
+
+    def compress_history(self, history):
+        lines = history.split('\\n')
+        compressed_lines = [line for line in lines if not line.strip().startswith('#')]
+        return '\\n'.join(compressed_lines)
+
+    def understand_test_results(self, test_results):
+        # Placeholder for understanding test results
+        return "Test results understood."
+
+    def get_help_message(self):
+        return "Available commands: add_component, run_terminal_command, compress_history, understand_test_results, get_help_message"
+
+    def process_input(self, input_text):
+        if input_text.startswith("add_component"):
+            _, component_type = input_text.split()
+            self.add_component(component_type)
+            return self.update_app_canvas()  # Return updated code
+        elif input_text.startswith("run_terminal_command"):
+            _, command = input_text.split(maxsplit=1)
+            self.terminal_history = self.run_terminal_command(command, self.terminal_history)
+            return self.terminal_history
+        elif input_text.startswith("compress_history"):
+            self.terminal_history = self.compress_history(self.terminal_history)
+            return self.terminal_history
+        elif input_text.startswith("understand_test_results"):
+            _, test_results = input_text.split(maxsplit=1)
+            return self.understand_test_results(test_results)
+        elif input_text == "get_help_message":
+            return self.get_help_message()
+        else:
+            return "Unknown command. Type 'get_help_message' for available commands."
 
-    else:
-        st.write("Please create or select a project to get started.")
+    def run(self):
+        self.initialize_nlp_models()  # Initialize NLP models here
+        with gr.Blocks() as demo:
+            input_text = gr.Textbox(label="Enter your command:")
+            output_text = gr.Textbox(label="Output:")
+            btn = gr.Button("Run")
+            btn.click(self.process_input, inputs=[input_text], outputs=[output_text])
+        demo.launch()
 
 if __name__ == "__main__":
-    main()
+    app = App()
+    app.run()