Update app.py

app.py

@@ -1,13 +1,22 @@
 import os
 from getpass import getpass
 import gradio as gr
+from pinecone.grpc import PineconeGRPC
+from pinecone import ServerlessSpec
 
-pinecone_api_key = os.getenv("PINECONE_API_KEY") or getpass("Enter your Pinecone API Key: ")
-openai_api_key = os.getenv("OPENAI_API_KEY") or getpass("Enter your OpenAI API Key: ")
-
+from llama_index.vector_stores import PineconeVectorStore
+from llama_index import VectorStoreIndex
+from llama_index.retrievers import VectorIndexRetriever
 from llama_index.node_parser import SemanticSplitterNodeParser
 from llama_index.embeddings import OpenAIEmbedding
 from llama_index.ingestion import IngestionPipeline
+from llama_index.query_engine import RetrieverQueryEngine
+
+
+
+pinecone_api_key = os.getenv("PINECONE_API_KEY") 
+openai_api_key = os.getenv("OPENAI_API_KEY")
+
 
 # This will be the model we use both for Node parsing and for vectorization
 embed_model = OpenAIEmbedding(api_key=openai_api_key)
@@ -24,10 +33,7 @@ pipeline = IngestionPipeline(
         ],
     )
 
-from pinecone.grpc import PineconeGRPC
-from pinecone import ServerlessSpec
 
-from llama_index.vector_stores import PineconeVectorStore
 
 # Initialize connection to Pinecone
 pc = PineconeGRPC(api_key=pinecone_api_key)
@@ -41,8 +47,6 @@ vector_store = PineconeVectorStore(pinecone_index=pinecone_index)
 
 pinecone_index.describe_index_stats()
 
-from llama_index import VectorStoreIndex
-from llama_index.retrievers import VectorIndexRetriever
 
 # Due to how LlamaIndex works here, if your Open AI API key was
 # not set to an environment variable before, you have to set it at this point
@@ -55,7 +59,6 @@ vector_index = VectorStoreIndex.from_vector_store(vector_store=vector_store)
 # Grab 5 search results
 retriever = VectorIndexRetriever(index=vector_index, similarity_top_k=5)
 
-from llama_index.query_engine import RetrieverQueryEngine
 
 # Pass in your retriever from above, which is configured to return the top 5 results
 query_engine = RetrieverQueryEngine(retriever=retriever)