Update app.py

app.py

@@ -9,6 +9,8 @@ from langchain.chains import create_history_aware_retriever
 from langchain.memory import ChatMessageHistory
 from langchain_core.runnables.history import RunnableWithMessageHistory
 from langchain_pinecone import PineconeVectorStore
+from pinecone.grpc import PineconeGRPC as Pinecone
+from pinecone import ServerlessSpec
 from langchain.schema import Document
 from dotenv import load_dotenv
 from prompt import system_prompt, retriever_prompt
@@ -199,7 +201,25 @@ PINECONE_API_KEY = os.environ.get('PINECONE_API_KEY')
 os.environ['PINECONE_API_KEY'] = PINECONE_API_KEY
 
 index_name = 'humblebeeai'
+pc = Pinecone(api_key=PINECONE_API_KEY)
 
+existing_indexes = [index['name'] for index in pc.list_indexes()]
+if index_name in existing_indexes:
+    print(f"🟢 Index '{index_name}' already exists. Skipping creation.")
+else:
+    print(f"🔴 Index '{index_name}' not found. Creating it now...")
+
+    pc.create_index(
+        name=index_name,
+        dimension=384,  # Adjust the dimension based on your embeddings
+        metric="cosine",
+        spec=ServerlessSpec(
+            cloud="aws",
+            region="us-east-1"
+        )
+    )
+
+    print(f"✅ Index '{index_name}' created successfully.")
 docsearch = PineconeVectorStore.from_documents(
     documents=text_chunks,
     index_name=index_name,