Create app.py

app.py

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+# app.py
+from flask import Flask, request, jsonify
+import requests
+import json
+import asyncio # Import asyncio for running async functions
+
+app = Flask(__name__)
+
+# (Include your generate_solution_python function here,
+#  making sure to adjust the API endpoint for google_search if necessary)
+
+# Assuming generate_solution_python is defined as in your Canvas
+# You'll need to make sure the requests.post for google_search points to a valid endpoint
+# In a real Hugging Face Space, you might not have a direct /api/google_search.
+# You'd need to consider how to integrate a search API (e.g., Google Custom Search API, SerpAPI)
+# and handle its API key securely.
+
+@app.route('/generate', methods=['POST'])
+async def generate():
+    data = request.json
+    user_query = data.get('query')
+    if not user_query:
+        return jsonify({"error": "Query is required"}), 400
+
+    # Run the async function
+    response_text = await generate_solution_python(user_query)
+    return jsonify({"solution": response_text})
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860) # Hugging Face Spaces typically use port 7860