import streamlit as st from flask import Flask, jsonify, request from flask_login import LoginManager, UserMixin, login_user, login_required, logout_user, current_user from flask_sqlalchemy import SQLAlchemy from werkzeug.security import generate_password_hash, check_password_hash import pdb import subprocess import docker from huggingface_hub import HfApi, create_repo import importlib import os from transformers import AutoModelForCausalLM, pipeline, AutoTokenizer # Initialize Flask app app = Flask(__name__) app.config['SECRET_KEY'] = 'your-secret-key' # Replace with a strong secret key app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///users.db' db = SQLAlchemy(app) login_manager = LoginManager() login_manager.init_app(app) # User and Project models class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(100), unique=True, nullable=False) password_hash = db.Column(db.String(100), nullable=False) projects = db.relationship('Project', backref='user', lazy=True) class Project(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100), nullable=False) user_id = db.Column(db.Integer, db.ForeignKey('user.id'), nullable=False) @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) # Authentication routes @app.route('/register', methods=['POST']) def register(): data = request.get_json() username = data.get('username') password = data.get('password') if User.query.filter_by(username=username).first(): return jsonify({'message': 'Username already exists'}), 400 new_user = User(username=username, password_hash=generate_password_hash(password)) db.session.add(new_user) db.session.commit() return jsonify({'message': 'User registered successfully'}), 201 @app.route('/login', methods=['POST']) def login(): data = request.get_json() username = data.get('username') password = data.get('password') user = User.query.filter_by(username=username).first() if user and check_password_hash(user.password_hash, password): login_user(user) return jsonify({'message': 'Logged in successfully'}), 200 return jsonify({'message': 'Invalid username or password'}), 401 @app.route('/logout') @login_required def logout(): logout_user() return jsonify({'message': 'Logged out successfully'}), 200 @app.route('/create_project', methods=['POST']) @login_required def create_project(): data = request.get_json() project_name = data.get('project_name') new_project = Project(name=project_name, user_id=current_user.id) db.session.add(new_project) db.session.commit() return jsonify({'message': 'Project created successfully'}), 201 @app.route('/get_projects') @login_required def get_projects(): projects = Project.query.filter_by(user_id=current_user.id).all() return jsonify({'projects': [project.name for project in projects]}), 200 # Plugin system class PluginManager: def __init__(self): self.plugin_dir = './plugins' self.plugins = {} def load_plugins(self): for filename in os.listdir(self.plugin_dir): if filename.endswith('.py'): module_name = filename[:-3] spec = importlib.util.spec_from_file_location(module_name, os.path.join(self.plugin_dir, filename)) module = importlib.util.module_from_spec(spec) spec.loader.exec_module(module) if hasattr(module, 'register_plugin'): plugin = module.register_plugin() self.plugins[plugin.name] = plugin def get_plugin(self, name): return self.plugins.get(name) def list_plugins(self): return list(self.plugins.keys()) # Example plugin def register_plugin(): return ExamplePlugin() class ExamplePlugin: name = "example_plugin" def run(self, input_data): return f"Plugin processed: {input_data}" plugin_manager = PluginManager() plugin_manager.load_plugins() # Load the tokenizer explicitly tokenizer = AutoTokenizer.from_pretrained("microsoft/CodeGPT-small-py", clean_up_tokenization_spaces=True) # Initialize the model model = AutoModelForCausalLM.from_pretrained("microsoft/CodeGPT-small-py") # Use a public model # Initialize the pipeline code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer) # AI Assistant hf_api = HfApi() def generate_app(user_idea, project_name): # Extract key information from the user idea # (You might want to use a more sophisticated NLP pipeline here) summary = user_idea # For now, just use the user's input # Create project directory if it doesn't exist project_path = create_project(project_name) # Generate code using Codex prompt = f"""Create a simple Streamlit app for the project named '{project_name}'. The app should display the following summary: '{summary}'.""" generated_code = code_generator(prompt, max_length=516)[0]['generated_text'] # Save the generated code to a file in the project directory with open(os.path.join(project_path, "app.py"), "w") as f: f.write(generated_code) # Deploy the app to Hugging Face Spaces deploy_app_to_hf_spaces(project_name, generated_code) return generated_code, project_path def deploy_app_to_hf_spaces(project_name, generated_code): repo_name = f"hf-{project_name}" repo_id = hf_api.changelog.get_repo_id(repo_name) if not repo_id: create_repo(hf_api, repo_name, "public", "Streamlit App") repo_id = hf_api.changelog.get_repo_id(repo_name) # Save the generated code to a temporary file temp_file = "temp_code.py" with open(temp_file, "w") as f: f.write(generated_code) # Upload the file to Hugging Face Spaces hf_api.upload_files(repo_id, [temp_file], hf_api.api_key) # Delete the temporary file os.remove(temp_file) # Print success message st.write(f"App deployed successfully to Hugging Face Spaces: https://huggingface.co/spaces/{repo_name}") def create_project(project_name): project_path = os.path.join(os.getcwd(), project_name) if not os.path.exists(project_path): os.makedirs(project_path) return project_path def main(): st.sidebar.title("AI-Guided Development") app_mode = st.sidebar.selectbox("Choose the app mode", ["Home", "Login/Register", "File Explorer", "Code Editor", "Terminal", "Build & Deploy", "AI Assistant", "Plugins"]) # AI Guide Toggle ai_guide_level = st.sidebar.radio("AI Guide Level", ["Full Assistance", "Partial Assistance", "No Assistance"]) if app_mode == "Home": st.title("Welcome to AI-Guided Development") st.write("Select a mode from the sidebar to get started.") elif app_mode == "Login/Register": login_register_page() elif app_mode == "File Explorer": file_explorer_page() elif app_mode == "Code Editor": code_editor_page() elif app_mode == "Terminal": terminal_page() elif app_mode == "Build & Deploy": build_and_deploy_page() elif app_mode == "AI Assistant": ai_assistant_page() elif app_mode == "Plugins": plugins_page() @login_required def file_explorer_page(): st.header("File Explorer") # File explorer code (as before) @login_required def code_editor_page(): st.header("Code Editor") # Code editor with Monaco integration st.components.v1.html( """
""", height=650, ) if st.button("Run Code"): code = st.session_state.get('code', '') # Get code from Monaco editor output = run_code(code) st.code(output) if st.button("Debug Code"): code = st.session_state.get('code', '') st.write("Debugging mode activated. Check your console for the debugger.") debug_code(code) @login_required def terminal_page(): st.header("Terminal") # Terminal code (as before) @login_required def build_and_deploy_page(): st.header("Build & Deploy") project_name = st.text_input("Enter project name:") if st.button("Build Docker Image"): image, logs = build_docker_image(project_name) st.write(f"Docker image built: {image.tags}") if st.button("Run Docker Container"): port = st.number_input("Enter port number:", value=8080) container = run_docker_container(project_name, port) st.write(f"Docker container running: {container.id}") if st.button("Deploy to Hugging Face Spaces"): token = st.text_input("Enter your Hugging Face token:", type="password") if token: repo_url = deploy_to_hf_spaces(project_name, token) st.write(f"Deployed to Hugging Face Spaces: {repo_url}") @login_required def ai_assistant_page(): st.header("AI Assistant") user_idea = st.text_area("Describe your app idea:") project_name = st.text_input("Enter project name:") if st.button("Generate App"): generated_code, project_path = generate_app(user_idea, project_name) st.code(generated_code) st.write(f"Project directory: {project_path}") @login_required def plugins_page(): st.header("Plugins") st.write("Available plugins:") for plugin_name in plugin_manager.list_plugins(): st.write(f"- {plugin_name}") selected_plugin = st.selectbox("Select a plugin to run:", plugin_manager.list_plugins()) input_data = st.text_input("Enter input for the plugin:") if st.button("Run Plugin"): plugin = plugin_manager.get_plugin(selected_plugin) if plugin: result = plugin.run(input_data) st.write(f"Plugin output: {result}") def login_register_page(): st.header("Login/Register") action = st.radio("Choose action:", ["Login", "Register"]) username = st.text_input("Username:") password = st.text_input("Password:", type="password") if action == "Login": if st.button("Login"): user = User.query.filter_by(username=username).first() if user and check_password_hash(user.password_hash, password): login_user(user) st.success("Logged in successfully!") else: st.error("Invalid username or password") else: if st.button("Register"): if User.query.filter_by(username=username).first(): st.error("Username already exists") else: new_user = User(username=username, password_hash=generate_password_hash(password)) db.session.add(new_user) db.session.commit() st.success("User registered successfully!") def debug_code(code): try: pdb.run(code) except Exception as e: return str(e) def run_code(code): try: result = subprocess.run(['python', '-c', code], capture_output=True, text=True, timeout=10) return result.stdout except subprocess.TimeoutExpired: return "Code execution timed out" except Exception as e: return str(e) def build_docker_image(project_name): client = docker.from_env() image, build_logs = client.images.build(path=".", tag=project_name) return image, build_logs def run_docker_container(image_name, port): client = docker.from_env() container = client.containers.run(image_name, detach=True, ports={f'{port}/tcp': port}) return container if __name__ == "__main__": with app.app_context(): db.create_all() # Create the database tables if they don't exist app.run()