Update app.py

app.py

@@ -1,29 +1,29 @@
-# import gradio as gr
+import gradio as gr
 
-# gr.load("models/Qwen/QwQ-32B-Preview").launch()
+gr.load("models/Qwen/QwQ-32B-Preview").launch()
 
 
-from flask import Flask, request, jsonify
-import requests
-import os
-from dotenv import load_dotenv
+# from flask import Flask, request, jsonify
+# import requests
+# import os
+# from dotenv import load_dotenv
 
-# Load environment variables
-load_dotenv()
+# # Load environment variables
+# load_dotenv()
 
-app = Flask(__name__)
-HUGGINGFACE_API_URL = "https://api-inference.huggingface.co/models/Qwen/QwQ-32B-Preview"
-API_KEY = os.getenv("HUGGINGFACE_API_KEY")
+# app = Flask(__name__)
+# HUGGINGFACE_API_URL = "https://api-inference.huggingface.co/models/Qwen/QwQ-32B-Preview"
+# API_KEY = os.getenv("HUGGINGFACE_API_KEY")
 
-@app.route('/predict', methods=['POST'])
-def predict():
-    user_input = request.json.get('input')
-    headers = {"Authorization": f"Bearer {API_KEY}"}
-    payload = {"inputs": user_input}
+# @app.route('/predict', methods=['POST'])
+# def predict():
+#     user_input = request.json.get('input')
+#     headers = {"Authorization": f"Bearer {API_KEY}"}
+#     payload = {"inputs": user_input}
 
-    response = requests.post(HUGGINGFACE_API_URL, headers=headers, json=payload)
-    return jsonify(response.json())
+#     response = requests.post(HUGGINGFACE_API_URL, headers=headers, json=payload)
+#     return jsonify(response.json())
 
-if __name__ == '__main__':
-    app.run(debug=True)
+# if __name__ == '__main__':
+#     app.run(debug=True)