Update app.py

app.py

@@ -1,9 +1,10 @@
+# IMPORT FIX: Handle huggingface_hub compatibility
 import sys
 if "huggingface_hub" in sys.modules:
     sys.modules.pop("huggingface_hub")
     import huggingface_hub
     sys.modules["huggingface_hub"] = huggingface_hub
-    
+
 import gradio as gr
 import json
 import numpy as np
@@ -17,7 +18,7 @@ with open('job_roles.json') as f:
     job_roles = json.load(f)
 
 # Load Sentence-BERT model
-model = SentenceTransformer('all-MiniLM-L6-v2')
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
 
 # Precompute job role embeddings
 role_descriptions = [f"{role['title']}: {role['description']} Skills: {', '.join(role['skills'])}" 
@@ -27,7 +28,7 @@ role_embeddings = model.encode(role_descriptions)
 def analyze_resume(resume_file):
     # Extract text from PDF
     text = ""
-    with pdfplumber.open(resume_file.name) as pdf:
+    with pdfplumber.open(resume_file) as pdf:
         for page in pdf.pages:
             text += page.extract_text()
     
@@ -68,7 +69,8 @@ with gr.Blocks(title="Career Path Recommender") as demo:
     gr.Markdown("Upload your resume to discover your top 3 career matches with skill gap analysis")
     
     with gr.Row():
-        resume_input = gr.File(label="Upload Resume (PDF)", type="file")
+        # FIXED: Changed type to 'filepath'
+        resume_input = gr.File(label="Upload Resume (PDF)", type="filepath")
         output = gr.JSON(label="Recommended Career Paths")
     
     submit_btn = gr.Button("Analyze Resume")