import os import logging from flask import Flask, render_template, request, jsonify import g4f from g4f.client import Client import os import logging from flask import Flask, render_template, request, jsonify import g4f from g4f.client import Client # Configure logging # Configure logging logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) # Create Flask app app = Flask(__name__) app.secret_key = os.environ.get("SESSION_SECRET", "default_secret_key") # Initialize g4f client client = Client() @app.route('/') def index(): return render_template('index.html') @app.route('/api/chat', methods=['POST']) def chat(): try: data = request.json messages = data.get('messages', []) model = data.get('model', 'gpt-4o-mini') # Add system prompt system_prompt = { "role": "system", "content": "You are orion helpful AI assistant. You provide accurate, informative, and friendly responses while keeping them concise and relevant and you are make by Abdullah ali who is 13 years old " } # Insert system prompt at the beginning if not already present if not messages or messages[0].get('role') != 'system': messages.insert(0, system_prompt) logger.debug( f"Sending request to g4f with model: {model} and messages: {messages}" ) # Call the g4f API response = client.chat.completions.create(model=model, messages=messages, web_search=False) ai_response = response.choices[0].message.content logger.debug(f"Received response from g4f: {ai_response}") return jsonify({'status': 'success', 'message': ai_response}) except Exception as e: logger.error(f"Error in chat endpoint: {str(e)}") return jsonify({ 'status': 'error', 'message': f"An error occurred: {str(e)}" }), 500 @app.route('/api/conversations/', methods=['DELETE']) def delete_conversation(conversation_id): try: return jsonify({'status': 'success', 'message': f'Conversation {conversation_id} deleted'}) except Exception as e: logger.error(f"Error deleting conversation: {str(e)}") return jsonify({ 'status': 'error', 'message': f"An error occurred: {str(e)}" }), 500 @app.route('/api/models', methods=['GET']) def get_models(): try: # Return a list of available models # You can customize this list based on what g4f supports models = [{ "id": "gpt-4o-mini", "name": "GPT-4o" }] return jsonify({'status': 'success', 'models': models}) except Exception as e: logger.error(f"Error in models endpoint: {str(e)}") return jsonify({ 'status': 'error', 'message': f"An error occurred: {str(e)}" }), 500 if __name__ == "__main__": app.run(host="0.0.0.0", port=5000, debug=True)