Update app.py

app.py

@@ -1,175 +1,3 @@
-# import openai
-# import streamlit as st
-# from openai import OpenAI
-# import io
-# import time
-# import os
-# from dotenv import load_dotenv
-
-# # Initialize the OpenAI client with your API key
-# # Load environment variables from the .env file
-# load_dotenv()
-
-# # Get the OpenAI API key
-# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-
-# client = OpenAI(api_key=OPENAI_API_KEY)
-# vector_store_id = "vs_sHLBqA88ng66RDZYMgaBmDuX"  # Vector Store ID to use
-# # vector_store_id = os.getenv("VECTOR_STORE_ID")  # Vector Store ID to use
-# # all_files = list(client.beta.vector_stores.files.list(vector_store_id))
-# # for file in all_files:
-# #   # print(file)
-# #   file_id = file.id
-# #   st.write(file_id)
-
-# # Set the assistant ID
-# assistant_id = "asst_UeIHpkpVejAgrIz3RnisxSLm"  # Replace with your own assistant ID
-# # assistant_id = os.getenv("ASSISTANT_ID")  # Replace with your own assistant ID
-
-# def ensure_single_thread_id():
-#     if "thread_id" not in st.session_state:
-#         thread = client.beta.threads.create()
-#         st.session_state.thread_id = thread.id
-#     return st.session_state.thread_id
-
-# def safe_message_send(prompt, thread_id):
-#     try:
-#         message = client.beta.threads.messages.create(
-#             thread_id=thread_id,
-#             role="user",
-#             content=prompt
-#         )
-#         return message
-#     except Exception as e:
-#         if "active" in str(e):
-#             print("Waiting for the current run to finish...")
-#             time.sleep(1)  # wait a bit before retrying
-#             return safe_message_send(prompt, thread_id)  # retry sending the message
-#         else:
-#             raise e
-
-# def stream_generator(prompt, thread_id):
-#     # print(f'First time thread in the function {thread_id}')
-#     message = safe_message_send(prompt, thread_id)  # use the new safe send function
-    
-#     with st.spinner("Wait... Generating response..."):
-#         try:
-#             stream = client.beta.threads.runs.create(
-#                 thread_id=thread_id,
-#                 assistant_id=assistant_id,
-#                 stream=True
-#             )
-
-#             for event in stream:
-#                 if event.data.object == "thread.message.delta":
-#                     for content in event.data.delta.content:
-#                         if content.type == 'text':
-#                             yield content.text.value
-#                             time.sleep(0.01)
-#                 elif event.data.object == "thread.run.stop":
-#                     break  # Break if the run stops
-#         except Exception as e:
-#             print(f"Error during streaming: {str(e)}")
-
-# def upload_and_add_to_vector_store(uploaded_file):
-#     """Upload a file to OpenAI and add it to the specified vector store."""
-#     try:
-#         # Convert the uploaded file to a BytesIO stream for uploading
-#         file_stream = io.BytesIO(uploaded_file.getvalue())
-#         file_stream.name = uploaded_file.name  # Preserve the file name    
-#         # Upload the file to the vector store
-#         file_batch = client.beta.vector_stores.file_batches.upload_and_poll(
-#             vector_store_id=vector_store_id,
-#             files=[file_stream]
-#         )
-
-
-#         st.success(f"File '{uploaded_file.name}' processed and added to vector store. Status: {file_batch.status}")
-#     except Exception as e:
-#         st.error(f"Failed to process file: {str(e)}")
-    
-
-
-# def list_all_files_in_vector_store():
-#     """List all files in the specified vector store."""
-#     try:
-#         all_files = list(client.beta.vector_stores.files.list(vector_store_id=vector_store_id))
-#         # st.write(all_files)
-#         for file in all_files:
-#             file_id = file.id
-#             st.write(file_id)   
-#     except Exception as e:
-#         st.error(f"Failed to list files: {str(e)}")
-#         return {}
-
-# def delete_file_from_vector_store(vector_store_id, file_id):
-#     """Delete a file from the specified vector store."""
-#     try:
-#         client.beta.vector_stores.files.delete(
-#             vector_store_id=vector_store_id,
-#             file_id=file_id
-#         )
-#         st.success(f"File with ID '{file_id}' deleted from vector store '{vector_store_id}'.")
-#     except Exception as e:
-#         st.error(f"Failed to delete file. File id is not Found.")
-
-# # Interface to delete files from vector store
-# st.sidebar.subheader("Delete File from Vector Store")
-# file_id_to_delete = st.sidebar.text_input("Enter File ID to Delete", "")
-# if st.sidebar.button("Delete File"):
-#     delete_file_from_vector_store(vector_store_id, file_id_to_delete)
-
-# # Streamlit interface setup
-# st.title("💬Chatbot")
-# st.caption("🚀 A Streamlit Custom Chatbot")
-
-
-# with st.sidebar:
-#     st.write("Upload PDF File")
-#     uploaded_file = st.file_uploader("Choose a file", type=['pdf', 'docx'], key='file_uploader')
-
-#     if st.button('Upload File', key='process_file'):
-#         if uploaded_file is not None:
-#             upload_and_add_to_vector_store(uploaded_file)
-#             st.success("File successfully uploaded and processed.")
-#         else:
-#             st.error("Please upload a file to process.")
-
-#     # List all uploaded files
-#     st.write("### Uploaded Files")
-#     if 'uploaded_files' in st.session_state and st.session_state.uploaded_files:
-#         for file_name, file_id in st.session_state.uploaded_files.items():
-#             st.write(f"{file_name}: {file_id}")
-    
-#     # List all files in the vector store
-#     st.write("## All Files in Vector Store")
-#     all_files = list_all_files_in_vector_store() 
-
-# # Initialize session state for chat
-# st.session_state.start_chat = True
-# if 'start_chat' not in st.session_state:
-#     st.session_state.start_chat = False
-
-# # Main chat interface
-# if st.session_state.start_chat:
-#     if "messages" not in st.session_state:
-#         st.session_state.messages = []
-
-#     for message in st.session_state.messages:
-#         with st.chat_message(message["role"]):
-#             st.markdown(message["content"])
-
-#     prompt = st.chat_input("Enter your message")
-#     if prompt:
-#         thread_id = ensure_single_thread_id()
-#         with st.chat_message("user"):
-#             st.markdown(prompt)
-#         st.session_state.messages.append({"role": "user", "content": prompt})
-        
-#         with st.chat_message("assistant"):
-#             response = st.write_stream(stream_generator(prompt, thread_id))
-#         st.session_state.messages.append({"role": "assistant", "content": response})
-
 import openai
 import streamlit as st
 from openai import OpenAI
@@ -187,7 +15,7 @@ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 vector_store_id = "vs_sHLBqA88ng66RDZYMgaBmDuX"  # Vector Store ID to use
-
+# vector_store_id = os.getenv("VECTOR_STORE_ID")  # Vector Store ID to use
 # all_files = list(client.beta.vector_stores.files.list(vector_store_id))
 # for file in all_files:
 #   # print(file)
@@ -196,6 +24,7 @@ vector_store_id = "vs_sHLBqA88ng66RDZYMgaBmDuX"  # Vector Store ID to use
 
 # Set the assistant ID
 assistant_id = "asst_UeIHpkpVejAgrIz3RnisxSLm"  # Replace with your own assistant ID
+# assistant_id = os.getenv("ASSISTANT_ID")  # Replace with your own assistant ID
 
 def ensure_single_thread_id():
     if "thread_id" not in st.session_state:
@@ -264,7 +93,7 @@ def upload_and_add_to_vector_store(uploaded_file):
 def list_all_files_in_vector_store():
     """List all files in the specified vector store."""
     try:
-        all_files = list(client.beta.vector_stores.files.list(vector_store_id=vector_store_id))
+        all_files = list(client.vector_stores.files.list(vector_store_id=vector_store_id))
         # st.write(all_files)
         for file in all_files:
             file_id = file.id
@@ -276,7 +105,7 @@ def list_all_files_in_vector_store():
 def delete_file_from_vector_store(vector_store_id, file_id):
     """Delete a file from the specified vector store."""
     try:
-        client.beta.vector_stores.files.delete(
+        client.vector_stores.files.delete(
             vector_store_id=vector_store_id,
             file_id=file_id
         )
@@ -339,4 +168,4 @@ if st.session_state.start_chat:
         
         with st.chat_message("assistant"):
             response = st.write_stream(stream_generator(prompt, thread_id))
-        st.session_state.messages.append({"role": "assistant", "content": response})
+        st.session_state.messages.append({"role": "assistant", "content": response})