Update app.py

app.py

@@ -52,12 +52,12 @@ with st.form("my_form"):
         
         # If the user has entered a search query, search the Pinecone index with the query
         if query:
-        # Upsert the embeddings for the query into the Pinecone index
-        query_embeddings =  model.encode(query).tolist()
-        # now query
-        xc = index.query(vector=query_embeddings, top_k=10, namespace=namespace, include_metadata=True)
-        
-        # Display the search results
-        st.write(f"Search results for '{query}':")
-        for result in xc['matches']:
-            st.write(f"{round(result['score'], 2)}: {result['metadata']['meta_text']}")
+            # Upsert the embeddings for the query into the Pinecone index
+            query_embeddings =  model.encode(query).tolist()
+            # now query
+            xc = index.query(vector=query_embeddings, top_k=10, namespace=namespace, include_metadata=True)
+            
+            # Display the search results
+            st.write(f"Search results for '{query}':")
+            for result in xc['matches']:
+                st.write(f"{round(result['score'], 2)}: {result['metadata']['meta_text']}")