Update app.py

app.py

@@ -1,52 +1,5 @@
-# -*- coding: utf-8 -*-
-"""PDF Summariser - Gradio
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1OwEPVFMVN6xQrfpd_FyiCj0BTw-eDRDK
-
-### Chat PDF (texted) v0.1 - Developed by Jacky Chow 2020-03-31 
-(How to use)
-
-1. Go to runtime and chick run all.
-
-2. In the first block, click on the upload button and select the pdf for which you want to study
-
-3. Waif for around one to couple minutes, let the computer to scan the text and create indexing
-
-4. Go to output chatbox and start the ask question related to that pdf document
-"""
-
-# from google.colab import files
-
-# # Prompt the user for a filename
-# # filename = input("Please enter the filename to upload: ")
-# filename = 't.pdf'
-
-# # Use files.upload() to allow the user to upload a file
-# uploaded_files = files.upload()
-
-# # Get the first uploaded file (assuming only one file was uploaded)
-# uploaded_file = next(iter(uploaded_files))
-
-# # Get the contents of the uploaded file
-# file_contents = uploaded_files[uploaded_file]
-
-# # Specify the new filename
-# new_filename = "t1.pdf"
-
-# # Write the contents of the uploaded file to the new file
-# with open(new_filename, "wb") as f:
-#     f.write(file_contents)
-
-# # Print a confirmation message
-# print(f"File {uploaded_file} was saved as {new_filename}")
-
-"""# Programming Code (no need to view by general user)"""
-
 # !pip install -q gpt_index
-!pip install -q llama-index
+!pip install llama-index
 !pip install -q PyPDF2
 !pip install -q gradio