Update app.py

app.py

@@ -1,55 +1,55 @@
-import gradio as gr
-import pinecone
-from pinecone import PineconeGRPC, GRPCClientConfig
-
-# Initialize Pinecone connection
-pinecone.init(api_key="your-pinecone-api-key", environment="us-west1-gcp")
-pc = PineconeGRPC(api_key="your-pinecone-api-key")
-index = pc.Index(host="localhost:5081", grpc_config=GRPCClientConfig(secure=False))
-
-# Function to upsert a vector to Pinecone
-def upsert_vector(vector_id, vector_values, genre):
-    index.upsert(
-        vectors=[
-            {
-                "id": vector_id, 
-                "values": vector_values,
-                "metadata": {"genre": genre}
-            }
-        ],
-        namespace="example-namespace"
-    )
-    return f"Vector {vector_id} upserted with genre {genre}"
-
-# Function to query vectors based on genre
-def query_vector(query_vector, genre_filter):
-    query = index.query(
-        vector=query_vector,
-        filter={"genre": {"$eq": genre_filter}},
-        top_k=1,
-        include_values=True,
-        include_metadata=True,
-        namespace="example-namespace"
-    )
-    return query
-
-# Create Gradio Interface
-with gr.Blocks() as app:
-    gr.Markdown("### Pinecone Vector Search with Gradio")
-    
-    with gr.Row():
-        vector_id = gr.Textbox(label="Vector ID")
-        vector_values = gr.Textbox(label="Vector Values (comma separated)", placeholder="e.g. 1.0, 1.5")
-        genre = gr.Textbox(label="Genre")
-        
-        submit_button = gr.Button("Upsert Vector")
-        submit_button.click(upsert_vector, inputs=[vector_id, vector_values, genre], outputs="status")
-
-    with gr.Row():
-        query_vector = gr.Textbox(label="Query Vector (comma separated)", placeholder="e.g. 1.0, 1.5")
-        genre_filter = gr.Textbox(label="Filter Genre")
-        
-        search_button = gr.Button("Search")
-        search_button.click(query_vector, inputs=[query_vector, genre_filter], outputs="query_result")
-
+import gradio as gr
+import pinecone
+from pinecone.grpc import PineconeGRPC, GRPCClientConfig
+
+# Initialize Pinecone connection
+pinecone.init(api_key="your-pinecone-api-key", environment="us-west1-gcp")
+pc = PineconeGRPC(api_key="your-pinecone-api-key")
+index = pc.Index(host="localhost:5081", grpc_config=GRPCClientConfig(secure=False))
+
+# Function to upsert a vector to Pinecone
+def upsert_vector(vector_id, vector_values, genre):
+    index.upsert(
+        vectors=[
+            {
+                "id": vector_id, 
+                "values": vector_values,
+                "metadata": {"genre": genre}
+            }
+        ],
+        namespace="example-namespace"
+    )
+    return f"Vector {vector_id} upserted with genre {genre}"
+
+# Function to query vectors based on genre
+def query_vector(query_vector, genre_filter):
+    query = index.query(
+        vector=query_vector,
+        filter={"genre": {"$eq": genre_filter}},
+        top_k=1,
+        include_values=True,
+        include_metadata=True,
+        namespace="example-namespace"
+    )
+    return query
+
+# Create Gradio Interface
+with gr.Blocks() as app:
+    gr.Markdown("### Pinecone Vector Search with Gradio")
+    
+    with gr.Row():
+        vector_id = gr.Textbox(label="Vector ID")
+        vector_values = gr.Textbox(label="Vector Values (comma separated)", placeholder="e.g. 1.0, 1.5")
+        genre = gr.Textbox(label="Genre")
+        
+        submit_button = gr.Button("Upsert Vector")
+        submit_button.click(upsert_vector, inputs=[vector_id, vector_values, genre], outputs="status")
+
+    with gr.Row():
+        query_vector = gr.Textbox(label="Query Vector (comma separated)", placeholder="e.g. 1.0, 1.5")
+        genre_filter = gr.Textbox(label="Filter Genre")
+        
+        search_button = gr.Button("Search")
+        search_button.click(query_vector, inputs=[query_vector, genre_filter], outputs="query_result")
+
 app.launch()