Update app.py

app.py

@@ -1,33 +1,30 @@
-from flask import Flask, render_template, request, jsonify
+import streamlit as st
 from model import extract_text_from_pdf, analyze_resume
 import os
 
-app = Flask(__name__)
+st.set_page_config(page_title="AI Resume Analyzer", layout="centered")
 
-@app.route("/")
-def index():
-    return render_template("index.html")
+st.title("📄 AI Resume Analyzer")
+st.write("Upload your resume (PDF) to analyze its ATS compatibility.")
 
-@app.route("/upload", methods=["POST"])
-def upload_file():
-    if "resume" not in request.files:
-        return jsonify({"error": "No file uploaded"})
+# File Upload
+uploaded_file = st.file_uploader("Upload Resume (PDF)", type=["pdf"])
 
-    file = request.files["resume"]
-    
-    if file.filename == "":
-        return jsonify({"error": "No selected file"})
-    
-    # Save file
-    file_path = os.path.join("uploads", file.filename)
-    file.save(file_path)
+if uploaded_file is not None:
+    # Save File Temporarily
+    temp_path = f"temp_{uploaded_file.name}"
+    with open(temp_path, "wb") as f:
+        f.write(uploaded_file.getbuffer())
 
-    # Process Resume
-    text = extract_text_from_pdf(file_path)
-    analysis = analyze_resume(text)
+    # Extract & Analyze
+    resume_text = extract_text_from_pdf(temp_path)
+    analysis = analyze_resume(resume_text)
 
-    return jsonify(analysis)
+    # Display Results
+    st.subheader("📝 Resume Analysis")
+    st.write(f"**ATS Score:** {analysis['ats_score']}%")
+    st.write(f"**Matched Skills:** {', '.join(analysis['matched_skills'])}")
+    st.write(f"**Missing Skills:** {', '.join(analysis['missing_skills'])}")
 
-if __name__ == "__main__":
-    os.makedirs("uploads", exist_ok=True)
-    app.run(debug=True)
+    # Clean Up
+    os.remove(temp_path)