Update app.py

app.py

@@ -223,16 +223,18 @@ def analyze_resumes(resumes, job_desc):
         for future in concurrent.futures.as_completed(futures):
             results.append(future.result())
 
-    resume_count_message = f"{len(resumes)} resume(s) uploaded."
-    return pd.DataFrame(results), resume_count_message
+    return pd.DataFrame(results)
 
-def download_results(results):
-    return results.to_csv(index=False)
+def download_results():
+    # You need to return a file path, here we use a CSV output
+    results_df = pd.DataFrame(results)  # Assume results are available globally or passed in another way
+    results_df.to_csv("/tmp/analysis_results.csv", index=False)
+    return "/tmp/analysis_results.csv"
 
-# Create Gradio Interface with Download functionality
+# Define Gradio Interface
 iface = gr.Interface(
     fn=analyze_resumes,
-    inputs=[gr.Files(label="Upload Resumes (PDF, DOCX, TXT)", file_count="multiple"), gr.Textbox(label="Enter Job Description")],
+    inputs=[gr.File(label="Upload Resumes", file_count="multiple"), gr.Textbox(label="Enter Job Description")],
     outputs=[gr.DataFrame(label="Analysis Results"), gr.Textbox(label="Resume Count Message"), gr.File(label="Download Results", file=download_results)],
     flagging_mode="never",
     live=True