Update app.py

app.py

@@ -1,4 +1,5 @@
 import os
+import tempfile
 from flask import Flask, render_template, request
 import pandas as pd
 from sklearn.feature_extraction.text import TfidfVectorizer
@@ -88,12 +89,16 @@ def index():
             file = request.files['file']
             if file.filename != '':
                 try:
-                    filepath = "uploaded_file." + file.filename.rsplit('.', 1)[1]
-                    file.save(filepath)
+                    with tempfile.NamedTemporaryFile(delete=False, suffix=f".{file.filename.rsplit('.', 1)[1]}") as tmp:
+                        filepath = tmp.name
+                        file.save(tmp)
+
                     if recommender.load_and_process_data(filepath):
                         message = "File uploaded and processed successfully!"
                     else:
                         message = "Error processing the file."
+
+                    os.remove(filepath)  # Clean up temporary file
                 except Exception as e:
                     message = f"File upload failed: {e}"
             else:
@@ -113,5 +118,5 @@ def index():
 
 
 if __name__ == "__main__":
-    port = int(os.environ.get("PORT", 5000))  # Get port from environment or default to 5000
-    app.run(debug=True, host='0.0.0.0', port=port)  # Run on all interfaces, specified port
+    port = int(os.environ.get("PORT", 5000))
+    app.run(debug=True, host='0.0.0.0', port=port)