Deploying PDF Version v17

app.py

@@ -1,7 +1,6 @@
 import os
 import tempfile
 import logging
-import time
 from typing import List, Dict
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
@@ -42,7 +41,7 @@ text_splitter = RecursiveCharacterTextSplitter(
     separators=["\n\n", "\n", " ", ""]  # Prioritize splitting on paragraph breaks
 )
 
-# System template (unchanged)
+# System template
 system_template = """You are GPT-4o, an advanced AI model with multimodal capabilities and high intelligence. Use the following pieces of context to answer the user's question.
 If you don't know the answer, just say that you don't know, don't try to make up an answer.
 ALWAYS return a "SOURCES" part in your answer.
@@ -111,18 +110,18 @@ async def start():
 
     # Simulate upload progress
     for i in range(0, 101, 10):
-        await msg.update(f"Uploading: {i}%")
+        await msg.content.edit(f"Uploading: {i}%")
         if i < 100:
-            await cl.sleep(0.5)  # Use cl.sleep instead of time.sleep
+            await cl.sleep(0.5)
 
-    await msg.update(f"Upload complete. Now processing `{file.name}`...")
+    await msg.content.edit(f"Upload complete. Now processing `{file.name}`...")
 
     try:
         # Simulate processing progress
         for i in range(0, 101, 10):
-            await msg.update(f"Processing: {i}%")
+            await msg.content.edit(f"Processing: {i}%")
             if i < 100:
-                await cl.sleep(1)  # Use cl.sleep instead of time.sleep
+                await cl.sleep(1)
             if i == 50:
                 # Actually process the file at the midpoint
                 chunks_with_metadata = process_file(file)
@@ -154,7 +153,7 @@ async def start():
         )
 
         cl.user_session.set("chain", chain)
-        await msg.update(f"Processing `{file.name}` complete. You can now ask questions about the book!")
+        await msg.content.edit(f"Processing `{file.name}` complete. You can now ask questions about the book!")
 
     except Exception as e:
         error_msg = f"An error occurred while processing the file: {str(e)}"