Update app.py

app.py

@@ -1,10 +1,12 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import os
-from langchain import PromptTemplate, LLMChain
+from langchain import PromptTemplate
+from langchain import LLMChain
 from langchain_together import Together
+import re
 import pdfplumber
-
-# Set the API key with double quotes
+# Set the API key
 os.environ['TOGETHER_API_KEY'] = "c2f52626b97118b71c0c36f66eda4f5957c8fc475e760c3d72f98ba07d3ed3b5"
 
 def extract_text_from_pdf(pdf_file, max_pages=16):
@@ -58,12 +60,19 @@ def ChatBot(history, document, question):
     if question_lower in greetings or any(question_lower.startswith(greeting) for greeting in greetings):
         return history + [("User", question), ("Bot", "Hello! How can I assist you with the document today?")]
 
+    # Extract text from the uploaded PDF document
     text = extract_text_from_pdf(document)
+    
+    # Generate the bot response based on the question and extracted text
     response = Bot(text, question)
+    
+    # Update chat history with the user's question and bot's response
     history.append(("User", question))
     history.append(("Bot", response))
+    
     return history
 
+# Set up the Gradio interface using Blocks
 with gr.Blocks() as iface:
     chatbot = gr.Chatbot()
     document = gr.File(label="Upload PDF Document", type="filepath")