Update app.py

app.py

@@ -163,26 +163,46 @@ def unzip_and_process(zip_file, model_choice, openai_classifier, questions_strin
     return excel_file  # Return the path to the Excel file
 
 def run_interface(questions_json, resumes_zip):
-    # Load questions.json content
-    questions_string = questions_json.read().decode("utf-8")
-
-    # Write the ZIP file to disk
-    with open("uploaded_resumes.zip", "wb") as f:
-        f.write(resumes_zip.read())
+    try:
+        # Handle the questions.json file
+        if isinstance(questions_json, str):
+            # If it's a file path
+            with open(questions_json, 'r') as f:
+                questions_string = f.read()
+        else:
+            # If it's a temporary file object from Gradio
+            questions_string = questions_json.name
+            with open(questions_string, 'r') as f:
+                questions_string = f.read()
+
+        # Handle the ZIP file
+        if isinstance(resumes_zip, str):
+            zip_path = resumes_zip
+        else:
+            # If it's a temporary file object from Gradio
+            zip_path = resumes_zip.name
 
-    openai_classifier = OpenAIClassifier(api_key="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")
-    output_file = unzip_and_process("uploaded_resumes.zip", "openai", openai_classifier, questions_string)
+        openai_classifier = OpenAIClassifier(api_key="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")
+        output_file = unzip_and_process(zip_path, "openai", openai_classifier, questions_string)
+        
+        return output_file
 
-    return output_file  # Return the Excel file path as Gradio output
+    except Exception as e:
+        print(f"Error in run_interface: {str(e)}")
+        raise gr.Error(f"Processing failed: {str(e)}")
 
-# Set up the Gradio interface
+# Set up the Gradio interface with better error handling
 interface = gr.Interface(
     fn=run_interface,
     inputs=[
-        gr.File(label="Upload questions.json"), 
-        gr.File(label="Upload ZIP of Resumes")
+        gr.File(label="Upload questions.json", type="file"), 
+        gr.File(label="Upload ZIP of Resumes", type="file")
     ],
-    outputs=gr.File(label="Processed Results Excel")
+    outputs=gr.File(label="Processed Results Excel"),
+    title="Resume Analysis System",
+    description="Upload a questions.json file and a ZIP file containing resumes to process.",
+    allow_flagging="never",
 )
 
-interface.launch()
+# Launch with debugging enabled
+interface.launch(debug=True)