try again

app.py

@@ -137,14 +137,14 @@ def process_images_and_statements(image):
 
 # Gradio interface
 image_input = gr.inputs.Image()
-output_df = gr.outputs.Dataframe(type="pandas", label="Results")  # <--- Use "pandas" type for DataFrame output
-output_csv = gr.outputs.File(label="Download CSV", mime_types=["text/csv"], default="Results.csv", extension=".csv")
-
+output_df = gr.outputs.Dataframe(type="pandas", label="Results")
+# Use the correct argument 'mime_type' and provide a string value for the MIME type
+output_csv = gr.outputs.File(label="Download CSV", mime_type="text/csv", default="Results.csv", extension=".csv")
 
 iface = gr.Interface(
     fn=process_images_and_statements,
     inputs=image_input,
-    outputs=[output_df, output_csv],  # <--- Updated outputs to include output_csv
+    outputs=[output_df, output_csv],  # Include both the DataFrame and CSV file outputs
     title="Image Captioning and Image-Text Matching",
     theme='sudeepshouche/minimalist',
     css=".output { flex-direction: column; } .output .outputs { width: 100%; }"  # Custom CSS