Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import streamlit as st
 import os
 import faiss
@@ -7,11 +6,12 @@ import PyPDF2
 from sentence_transformers import SentenceTransformer
 from groq import Groq
 
-# Set Groq API key
+# Set Groq API key from environment variable
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 groq_client = Groq(api_key=GROQ_API_KEY)
 
-embedder = SentenceTransformer("all-MiniLM-L6-v2")
+# ✅ Use a compatible SentenceTransformer model for Hugging Face Spaces
+embedder = SentenceTransformer("paraphrase-MiniLM-L6-v2", device='cpu')
 
 # Example job descriptions
 job_data = {
@@ -36,13 +36,13 @@ def find_best_job_match(resume_text):
 
 def query_llm(context, question):
     prompt = f"""You are an expert job coach. Based on the resume below and the job context:
-    
+
 Context: {context}
 
 Resume: {question}
 
 Give a simple analysis of how well this resume fits and what's missing."""
-    
+
     response = groq_client.chat.completions.create(
         model="llama-3-8b-8192",
         messages=[{"role": "user", "content": prompt}]
@@ -68,4 +68,4 @@ if uploaded_file:
     st.subheader("🧾 AI Feedback:")
     st.write(response)
 
-st.info("This app is for guidance only. Tailor your resume per job posting!")
+st.info("This app is for guidance only. Tailor your resume per job posting!")