Update app.py

app.py

@@ -1,10 +1,17 @@
 import streamlit as st
 from docx import Document
 import PyPDF2
+import genai  # Assuming the Gemini client is available as 'genai'
 
 # Title of the app
 st.title("JD-Resume Fit Check App")
 
+# Retrieve the API key from Streamlit secrets
+GOOGLE_API_KEY = st.secrets["GEMINI_API_KEY"]
+
+# Configure the Google Generative AI API with your API key
+genai.configure(api_key=GOOGLE_API_KEY)
+
 # Create two columns
 col1, col2 = st.columns(2)
 
@@ -38,29 +45,43 @@ st.subheader("Fit Check Results")
 
 # Ensure both resume and JD are provided before proceeding
 if resume_text and job_description:
-    st.write("Your resume and job description are being processed...")
-    
-    # Call the generative AI API or process the match logic here (e.g., calling the Gemini API)
-    # For now, we simulate the match process and display the output
     
-    prompt = f"""
-    You are an expert recruiter and hiring manager assistant. Analyze the following details and provide a match score (0-10) for how well the resume matches the job description:
+    # Display a "Generate" button
+    if st.button("Generate Match Score"):
+        
+        st.write("Your resume and job description are being processed...")
+        
+        # Construct the prompt for analysis
+        prompt = f"""
+        You are an expert recruiter and hiring manager assistant. Analyze the following details and provide a match score (0-10) for how well the resume matches the job description:
 
-    1. Analyze this Resume: {resume_text}
-    2. Analyze this Job Description: {job_description}
-    3. Identify the key skills, experience, and qualifications mentioned in the job description.
-    4. Compare the above with the details provided in the resume.
-    5. Provide a match score based on how well the resume aligns with the job description. Include a brief justification for the score.
-    """
+        1. Analyze this Resume: {resume_text}
+        2. Analyze this Job Description: {job_description}
+        3. Identify the key skills, experience, and qualifications mentioned in the job description.
+        4. Compare the above with the details provided in the resume.
+        5. Provide a match score based on how well the resume aligns with the job description. Include a brief justification for the score.
+        """
 
-    # Here you would send the 'prompt' to the API or some function to generate a result
-    # For now, we'll simulate a result:
-    match_score = 8  # Just an example score
-    justification = "The resume matches most of the key skills mentioned in the job description, but there is some mismatch in the experience level."
-
-    # Display results
-    st.write(f"**Match Score:** {match_score}/10")
-    st.write(f"**Justification:** {justification}")
+        # Call the Gemini API (ensure you're using the right method for Gemini)
+        try:
+            # Generate content using the Gemini API (adjust the model name as needed)
+            response = genai.GenerativeModel('gemini-pro').generate_content(prompt)
+            
+            # Parse the response (assuming it's a simple text-based response)
+            match_score = response.text.strip().split('\n')[0]  # Get the match score (adjust if response format is different)
+            justification = '\n'.join(response.text.strip().split('\n')[1:])  # Get justification (adjust if needed)
 
+            # Display results
+            st.write(f"**Match Score:** {match_score}/10")
+            st.write(f"**Justification:** {justification}")
+        
+        except Exception as e:
+            st.error(f"Error generating match score: {str(e)}")
 else:
     st.write("Please upload both a resume and a job description.")
+
+# Add space or content at the bottom
+st.write("\n" * 20)  # Adds space to push the content down
+
+# Footer
+st.markdown("Built with 🧠 by Hruday & Google Gemini")