think CSV is almost here

app.py

@@ -85,12 +85,18 @@ def generate_caption(processor, model, image):
     return generated_caption
 
 
-# Function to save dataframe results to a CSV string for download
 def save_dataframe_to_csv(df):
     csv_buffer = io.StringIO()
     df.to_csv(csv_buffer, index=False)
     csv_string = csv_buffer.getvalue()
-    return csv_string  # Return the CSV contents as a string
+    
+    # Save the CSV string to a temporary file
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False, suffix=".csv") as temp_file:
+        temp_file.write(csv_string)
+        temp_file_path = temp_file.name  # Get the file path
+    
+    # Reopen the file with "rb" mode and return the file object
+    return open(temp_file_path, "rb")
 
 # Main function to perform image captioning and image-text matching
 def process_images_and_statements(image):
@@ -138,17 +144,17 @@ def process_images_and_statements(image):
     return results_df, csv_results  # <--- Return results_df and csv_results
 
 # Gradio interface
-image_input = inputs.Image()  # Use inputs instead of gr.inputs
-output_df = outputs.Dataframe(type="pandas", label="Results")  # Use outputs instead of gr.outputs
-output_csv = outputs.File(label="Download CSV")  # Use outputs instead of gr.outputs
+image_input = gr.inputs.Image()
+output_df = gr.outputs.Dataframe(type="pandas", label="Results")
+output_csv = gr.outputs.File(label="Download CSV")
 
 iface = gr.Interface(
     fn=process_images_and_statements,
     inputs=image_input,
-    outputs=[output_df, output_csv],  # Include both the DataFrame and CSV file outputs
+    outputs=[output_df, output_csv],
     title="Image Captioning and Image-Text Matching",
     theme='sudeepshouche/minimalist',
-    css=".output { flex-direction: column; } .output .outputs { width: 100%; }"  # Custom CSS
+    css=".output { flex-direction: column; } .output .outputs { width: 100%; }"
 )
 
 iface.launch()