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| from flask import Flask, request, jsonify | |
| import hmac, hashlib, secrets, time, os | |
| from openai import OpenAI | |
| from datetime import datetime, timedelta | |
| import logging | |
| logging.basicConfig(level=logging.INFO) | |
| app = Flask(__name__) | |
| # 🔑 Secret key for API authentication (Load from environment in production) | |
| SECRET_KEY = os.getenv("SECRET_KEY") | |
| GITHUB_TOKEN = os.getenv("GITHUB_TOKEN") | |
| endpoint = "https://models.inference.ai.azure.com" | |
| client = OpenAI(base_url=endpoint,api_key=GITHUB_TOKEN) | |
| # Track API statistics | |
| api_usage = {} # Stores {api_key: {"count": X, "reset_time": timestamp}} | |
| # ✅ Request Limit Configuration | |
| REQUEST_LIMIT = 2 # Max requests per day | |
| SPECIAL_API_KEY = "TrueSyncAI-888d3e23fa5801834aa385118e05bd72-394215579bc4e6ac" # The restricted API key | |
| # Track API statistics | |
| request_count = 0 | |
| start_time = time.time() | |
| def home(): | |
| return """ | |
| <html> | |
| <head> | |
| <title>TrueSyncAI</title> | |
| </head> | |
| <body style="text-align: center;"> | |
| <h1>Welcome to TrueSyncAI</h1> | |
| <img src="https://huggingface.co/spaces/sujalrajpoot/truesyncai/resolve/main/TrueSyncAI.jpg" alt="TrueSyncAI Logo" width="500"> | |
| </body> | |
| </html> | |
| """ | |
| def status(): | |
| global request_count | |
| uptime_seconds = int(time.time() - start_time) | |
| # Convert uptime to days, hours, minutes, and seconds | |
| days = uptime_seconds // 86400 | |
| hours = (uptime_seconds % 86400) // 3600 | |
| minutes = (uptime_seconds % 3600) // 60 | |
| seconds = uptime_seconds % 60 | |
| uptime_str = f"{days} days, {hours} hours, {minutes} minutes and {seconds} seconds" | |
| return jsonify({ | |
| "status": "API is running", | |
| "total_requests": request_count, | |
| "uptime": uptime_str | |
| }) | |
| # Generate API Key | |
| def generate_api_key(): | |
| random_part = secrets.token_hex(16) | |
| signature = hmac.new(SECRET_KEY.encode(), random_part.encode(), hashlib.sha256).hexdigest()[:16] | |
| api_key = f"TrueSyncAI-{random_part}-{signature}" | |
| return jsonify({"api_key": api_key}) | |
| # Validate API Key | |
| def validate_api_key(api_key): | |
| parts = api_key.split("-") | |
| if len(parts) != 3 or parts[0] != "TrueSyncAI": | |
| return False | |
| random_part, received_signature = parts[1], parts[2] | |
| expected_signature = hmac.new(SECRET_KEY.encode(), random_part.encode(), hashlib.sha256).hexdigest()[:16] | |
| return expected_signature == received_signature | |
| def generate_response(query:str) -> str: | |
| try: | |
| model_name = "gpt-4o" | |
| response = client.chat.completions.create( | |
| messages=[{"role": "system","content": "You are TrueSyncAI, a pioneering AI startup founded by Sujal Rajpoot and Anuj Rajpoot. As TrueSyncAI, you are designed to be intelligent, engaging, and helpful in conversations. You should provide insightful, accurate, concise and context-aware responses while maintaining a friendly and professional tone. Your goal is to enhance the user’s experience by adapting to their needs, assisting with various tasks, and learning from interactions to improve over time. Always ensure clarity, relevance, concise and accuracy in your responses, and align with TrueSyncAI’s vision of bridging the gap between virtual intelligence and reality."},{"role": "user","content": query}],temperature=0.7,max_tokens=4096,top_p=0.9,model=model_name,stream=False) | |
| return response.choices[0].message.content | |
| except: | |
| return "API Server is under maintenance. Please Try After Some Time Thank You for using TrueSyncAI Chat API. Have a great day." | |
| # Chat Endpoint | |
| def chat(): | |
| global request_count | |
| data = request.json | |
| api_key = data.get("api_key") | |
| message = data.get("message", "").strip() | |
| logging.info(f"Request received: {data}\n") | |
| if not api_key or not validate_api_key(api_key): | |
| return jsonify({"error": "Invalid API Key"}), 401 | |
| if not message: | |
| return jsonify({"error": "Message cannot be empty"}), 400 | |
| # ✅ Apply Limit to the Specific API Key | |
| if api_key == SPECIAL_API_KEY: | |
| now = datetime.utcnow() | |
| user_data = api_usage.get(api_key, {"count": 0, "reset_time": now + timedelta(days=1)}) | |
| # Reset count if the reset time has passed | |
| if now >= user_data["reset_time"]: | |
| user_data = {"count": 0, "reset_time": now + timedelta(days=1)} | |
| # Block requests if limit exceeded | |
| if user_data["count"] >= REQUEST_LIMIT: | |
| return jsonify({"error": "Request limit reached. Try again tomorrow."}), 429 | |
| # Increase request count | |
| user_data["count"] += 1 | |
| api_usage[api_key] = user_data # Update storage | |
| # Basic AI response (Can integrate LLMs here) | |
| response = generate_response(message) | |
| request_count += 1 | |
| return jsonify({"response": response}) | |
| if __name__ == "__main__": | |
| app.run(host="0.0.0.0", port=7860) # Hugging Face Spaces default port | |