Upload app.py

app.py

@@ -10,6 +10,7 @@ Original file is located at
 import streamlit as st
 import os
 from resume_generation_gemini_pro import Gemini_pro_main  # Import function from your model file
+from similarity_score_refined import similarity_main
 
 # Helper function to save uploaded files temporarily and return their paths
 def save_uploaded_file(uploaded_file):
@@ -36,14 +37,23 @@ if uploaded_resume is not None and uploaded_job_description is not None:
     job_description_path = save_uploaded_file(uploaded_job_description)
     st.write(f"Files saved at: {resume_path} and {job_description_path}")
 
+    # Button to calculate similarity score
+    if st.button("Check Similarity Score"):
+        # Calculate the similarity score between resume and job description using similarity_main
+        similarity_score = similarity_main(resume_path, job_description_path)
+
+        # Display the similarity score on a slider
+        st.write("Similarity Score:")
+        st.slider("Similarity", min_value=0, max_value=100, value=int(similarity_score), format="%d%%")
+
     # Generate tailored resume button
     if st.button("Generate Tailored Resume"):
         with st.spinner("Generating resume with Google Generative AI..."):
             # Call the model function with both file paths
-             Gemini_pro_main(resume_path, job_description_path)
+            generated_resume = Gemini_pro_main(resume_path, job_description_path)  # Assuming this function returns the resume text
 
             # Display the generated tailored resume
-            # st.subheader("Generated Tailored Resume:")
-            # st.write(generated_resume)
+            st.subheader("Generated Tailored Resume:")
+            st.write(generated_resume)
 else:
     st.warning("Please upload both the current resume and job description files.")