Update app.py

app.py

@@ -1,11 +1,3 @@
-!pip install streamlit google-generativeai pymupdf pyngrok transformers spacy python-docx nltk dateparser
-!python -m spacy download en_core_web_sm
-!python -m nltk.downloader words
-
-%%writefile combined_resume_analyzer.py
-
-
-
 import google.generativeai as genai
 import fitz  # PyMuPDF for PDF text extraction
 import streamlit as st
@@ -16,8 +8,6 @@ import re
 from nltk.corpus import words
 import dateparser
 from datetime import datetime
-from pyngrok import ngrok
-import os
 
 # Load SpaCy model for dependency parsing
 nlp_spacy = spacy.load('en_core_web_sm')
@@ -187,35 +177,4 @@ def main():
             st.error(f"Error during processing: {e}")
 
 if __name__ == "__main__":
-        main()from pyngrok import ngrok
-
-# Set your authtoken
-ngrok.set_auth_token("2keP9BS91BCtRFtnf5Ss4tOpzq4_2c6463MYzXPqFM3a95gUM") # Replace YOUR_AUTHTOKEN
-
-# Terminate any running ngrok processes (if any)
-!pkill -f streamlit
-
-# Run Streamlit in the background
-# The 'port' option should be passed as a keyword argument to the 'ngrok.connect()' function.
-public_url = ngrok.connect(8501)
-print("Public URL:", public_url)
-
-# Launch Streamlit
-!streamlit run combined_resume_analyzer.py
-
-
-from pyngrok import ngrok
-
-# Set your authtoken
-ngrok.set_auth_token("2keP9BS91BCtRFtnf5Ss4tOpzq4_2c6463MYzXPqFM3a95gUM") # Replace YOUR_AUTHTOKEN
-
-# Terminate any running ngrok processes (if any)
-!pkill -f streamlit
-
-# Run Streamlit in the background
-# The 'port' option should be passed as a keyword argument to the 'ngrok.connect()' function.
-public_url = ngrok.connect(8501)
-print("Public URL:", public_url)
-
-# Launch Streamlit
-!streamlit run combined_resume_analyzer.py
+    main()