Update app.py

app.py

@@ -32,32 +32,11 @@ embeddings = OpenAIEmbeddings(api_key=openai_api_key)
 
 # Initialize Pinecone with PineconeGRPC
 from pinecone import Pinecone
-# pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
-# # Define index name and parameters
-# index_name = "italy-kg"
-# vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
+pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
+# Define index name and parameters
+index_name = "italy-kg"
+vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
 
-#Dynamic Pinecone Creation
-
-# Function to initialize Pinecone dynamically and create index if it doesn't exist
-def init_pinecone(api_key, index_name):
-    pinecone.init(api_key=api_key, environment="us-east-1")
-    pc = Pinecone(api_key=api_key)
-    
-    # Check if index exists, create if not
-    if index_name not in pc.list_indexes():
-        pc.create_index(
-            name=index_name,
-            dimension=1536,
-            metric="cosine",
-            spec=ServerlessSpec(
-                cloud="aws",
-                region="us-east-1"
-            ),
-            deletion_protection="disabled"
-        )
-    vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
-    return vectorstore
 
 
 
@@ -207,13 +186,7 @@ def process_pdf(pdf_file, uploaded_documents):
 
 # Gradio Interface
 with gr.Blocks() as demo:    
-    with gr.Row():
-        with gr.Column():
-            # Add Pinecone Index and API Key fields side by side
-            pinecone_index_input = gr.Textbox(label="Pinecone Index Name", placeholder="Enter Pinecone Index Name")
-        with gr.Column():
-            pinecone_api_key_input = gr.Textbox(label="Pinecone API Key", placeholder="Enter Pinecone API Key")
-            
+          
     with gr.Row():         
         with gr.Column():
             response_output = gr.Textbox(label="Response:", lines=10, max_lines=10)
@@ -230,14 +203,4 @@ with gr.Blocks() as demo:
             process_button = gr.Button("Process PDF and Upload")
             process_button.click(fn=process_pdf, inputs=[file_input, gr.State([])], outputs=[document_table, output_textbox])
 
-
-            # When the process button is clicked, dynamically initialize Pinecone with API key and index name
-            def process_with_dynamic_pinecone(pdf_file, uploaded_documents, pinecone_index_name, pinecone_api_key):
-                vectorstore = init_pinecone(pinecone_api_key, pinecone_index_name)
-                return process_pdf(pdf_file, uploaded_documents, vectorstore)
-            
-            process_button.click(fn=process_with_dynamic_pinecone, 
-                                 inputs=[file_input, gr.State([]), pinecone_index_input, pinecone_api_key_input], 
-                                 outputs=[document_table, output_textbox])
-
 demo.launch(show_error=True)