Update app.py

app.py

@@ -2,34 +2,30 @@ import gradio as gr
 import os
 import zipfile
 import uuid
-from langchain_huggingface import HuggingFaceEmbeddings
-from pinecone import Pinecone, ServerlessSpec
-from langchain_community.document_loaders import WhatsAppChatLoader
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.document_loaders import WhatsAppChatLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from dotenv import load_dotenv
+import pinecone
 
 load_dotenv()
 
 # Initialize Pinecone and the index outside the function
 pinecone_key = os.getenv("PINECONE_API_KEY")
-pc = Pinecone(api_key=pinecone_key)
+pinecone.init(api_key=pinecone_key, environment='us-west1-gcp')
 index_name = "whatsapp-chat-index"
 
-if index_name not in pc.list_indexes().names():
-    pc.create_index(
+if index_name not in pinecone.list_indexes():
+    pinecone.create_index(
         name=index_name,
-        dimension=768,  # change as per embedding model
-        metric="cosine",
-        spec=ServerlessSpec(
-            cloud='aws',
-            region='us-east-1'
-        )
+        dimension=384,  # change as per embedding model
+        metric="cosine"
     )
 
-index = pc.Index(index_name)
+index = pinecone.Index(index_name)
 
 # Initialize Hugging Face embeddings
-embeddings = HuggingFaceEmbeddings()
+embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
 # Maximum allowed chunk size in bytes (4MB)
 MAX_CHUNK_SIZE = 4 * 1024 * 1024
@@ -109,4 +105,4 @@ interface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    interface.launch()
+    interface.launch()