set Share True

app.py

@@ -116,20 +116,23 @@ def get_user_embedding(query):
 # Find similar places based on cosine similarity
 def get_similar_places(user_embedding):
     similarities = []
-    try:
-        res = cur.execute("SELECT * FROM places").fetchall()
-
-        for place in res:
-            embedding_str = place['Embedding']
-            embedding = np.array([float(x) for x in embedding_str.split(',')])
-            similarity = cosine_similarity([user_embedding], [embedding])[0][0]
-            similarities.append((place, similarity))
 
-        ranked_results = sorted(similarities, key=lambda x: (x[1], x[0]['Rating']), reverse=True)
-        return ranked_results[:5]  # Return top 5 places
-    except Exception as e:
-        print(f"Error fetching similar places: {e}")
-        return []
+    # Select all places from the database
+    res = cur.execute("SELECT * FROM places").fetchall()
+    
+    for place in res:
+        embedding_str = place['Embedding']  # Assuming embeddings are stored as comma-separated strings in the database
+        embedding = np.array([float(x) for x in embedding_str.split(',')])  # Convert the string back to a numpy array
+        
+        # Compute cosine similarity
+        similarity = cosine_similarity([user_embedding], [embedding])[0][0]
+        similarities.append((place, similarity))
+    
+    # Sort results based on similarity and then by rating
+    ranked_results = sorted(similarities, key=lambda x: (x[1], x[0]['Rating']), reverse=True)
+    
+    # Return top places
+    return ranked_results
 
 # Main function to get top 5 destinations
 def get_top_5_destinations(user_query):
@@ -208,4 +211,4 @@ iface = gr.Interface(
 
 # Launch the Gradio App
 if __name__ == "__main__":
-    iface.launch(sahre=True)
+    iface.launch(share=True)