Update app.py

app.py

@@ -12,6 +12,11 @@ from langchain.document_loaders.csv_loader import CSVLoader
 # Allow users to upload a CSV file
 uploaded_file = st.sidebar.file_uploader("Upload your Data", type="csv")
 
+# Display the title of the web page
+st.title("Chat with CSV using open source LLM Inference Point 🦙🦜")
+# Display a markdown message with additional information
+st.markdown("<h3 style='text-align: center; color: white;'>Built by <a href='https://github.com/AIAnytime'>AI Anytime with ❤️ </a></h3>", unsafe_allow_html=True)
+
 if uploaded_file:
     # Initialize the CSVLoader to load the uploaded CSV file
     import tempfile
@@ -19,24 +24,16 @@ if uploaded_file:
         tmp_file.write(uploaded_file.getvalue())
         tmp_file_path = tmp_file.name
 
+# Initialize the CSVLoader to load the uploaded CSV file
     loader = CSVLoader(file_path=tmp_file_path, encoding="utf-8", csv_args={'delimiter': ','})
     data = loader.load()
     db.save_local(DB_FAISS_PATH)
     llm = load_llm()
 
+    chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever())
 
 
-# Display the title of the web page
-st.title("Chat with CSV using open source LLM Inference Point 🦙🦜")
-# Display a markdown message with additional information
-st.markdown("<h3 style='text-align: center; color: white;'>Built by <a href='https://github.com/AIAnytime'>AI Anytime with ❤️ </a></h3>", unsafe_allow_html=True)
-
-# Initialize the CSVLoader to load the uploaded CSV file
-    data = loader.load()
-    db.save_local(DB_FAISS_PATH)
-    llm = load_llm()
-
-    chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever())
+   
 
     def conversational_chat(query):
 # Maintain and display the chat history