Update pages/Resume_Roast.py

pages/Resume_Roast.py

@@ -5,6 +5,7 @@ from llama_index.embeddings.gemini import GeminiEmbedding
 from llama_index.llms.gemini import Gemini
 from llama_index.core import Document
 import google.generativeai as genai
+import streamlit_analytics2 as streamlit_analytics
 
 # Set up Google API key
 import os
@@ -40,12 +41,13 @@ def generate_feedback(index, resume_text):
     return response.response
 
 # Streamlit app
+
 def main():
     st.title("Resume Roaster")
     st.write("Upload a resume, and let our AI roast it!")
-
+    with streamlit_analytics.track():
     # File uploader
-    uploaded_file = st.file_uploader("Choose a resume file", type=["txt", "pdf"])
+        uploaded_file = st.file_uploader("Choose a resume file", type=["txt", "pdf"])
 
     if uploaded_file is not None:
         # Read file contents