Update app.py

app.py

@@ -37,15 +37,29 @@ def doc_preprocessing():
 def embedding_db():
     # we use the openAI embedding model
     embeddings = OpenAIEmbeddings()
-    pinecone.init(
-        api_key=PINECONE_API_KEY,
-        environment=PINECONE_ENV
+
+    # Initialize Pinecone
+    pc = Pinecone(
+        api_key=PINECONE_API_KEY, 
+        environment=PINECONE_ENV 
     )
+
     docs_split = doc_preprocessing()
+
+    # Check if index exists, create if needed
+    if 'langchain-demo-indexes' not in pc.list_indexes().names(): 
+        pc.create_index(
+           name='langchain-demo-indexes',
+           dimension=1536, # Adjust dimension if needed
+           metric='euclidean', 
+           spec=ServerlessSpec(cloud='aws', region='us-west-2') 
+        )
+
     doc_db = Pinecone.from_documents(
-        docs_split, 
-        embeddings, 
-        index_name='langchain-demo-indexes'
+        docs_split,
+        embeddings,
+        index_name='langchain-demo-indexes',
+        client=pc  # Pass the Pinecone object
     )
     return doc_db