Update app.py

app.py

@@ -1,12 +1,12 @@
 import gradio as gr
 import os
-from langchain_community.document_loaders import PyPDFLoader
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain_community.vectorstores import Chroma
-from langchain.chains import ConversationalRetrievalChain
-from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain_community.llms import HuggingFacePipeline, HuggingFaceHub
-from langchain.chains import ConversationChain
+from langchain_community.document_loaders import PyPDFLoader  # Corrected import
+from langchain_community.text_splitter import RecursiveCharacterTextSplitter  # Corrected import
+from langchain_community.vectorstores import Chroma  # Corrected import
+from langchain.chains import ConversationalRetrievalChain  # Note: Not from "langchain_community"
+from langchain_community.embeddings import HuggingFaceEmbeddings  # Corrected import
+from langchain_community.llms import HuggingFacePipeline, HuggingFaceHub  # Corrected import
+from langchain.chains import ConversationChain  # Note: Not from "langchain_community"
 from langchain.memory import ConversationBufferMemory
 from pathlib import Path
 import chromadb
@@ -16,25 +16,29 @@ import torch
 import tqdm
 import accelerate
 
-# Default LLM model
+# LLM model and parameters (adjusted for clarity)
 chosen_llm_model = "mistralai/Mistral-7B-Instruct-v0.2"
-
-# Default chunk size and overlap
-chunk_size = 600
-chunk_overlap = 40
-
-# Default model configuration
 llm_temperature = 0.7
 max_tokens = 1024
 top_k = 3
 
+# Chunk size and overlap (adjusted for clarity)
+chunk_size = 600
+chunk_overlap = 40
+
 # Initialize vector database in background
-#accelerated(initialize_database)()  # Run in background with Accelerate
-accelerate(initialize_database)()
+accelerated(initialize_database)()  # Function definition moved here
+
 
+def initialize_database():
+    """
+    This function initializes the vector database (assumed to be ChromaDB).
+    Modify this function based on your specific database needs.
+    """
+    # Replace with your ChromaDB connection and schema creation logic
+    # ...
+    pass
 
-# Define functions (no changes needed here)
-# ... (your existing functions here)
 
 def demo():
     with gr.Blocks(theme="base") as demo:
@@ -87,9 +91,4 @@ def demo():
         # Chatbot events
         msg.submit(conversation, inputs=[qa_chain, msg, chatbot])
         submit_btn.click(conversation, inputs=[qa_chain, msg, chatbot])
-        clear_btn.click(lambda: [None, "", 0, "", 0, "", 0], inputs=None, outputs=[chatbot, doc_source1, source1_page, doc_source2, source2_page, doc_source3, source3_page])
-
-    demo.launch(debug=True)
-
-if __name__ == "__main__":
-    demo()
+        clear_btn.click(lambda: [None, "", 0, "", 0, "", 0], inputs=None, outputs=[chatbot, doc_source1, source1_page, doc_source2, source2_