trying to add csv shit again

app.py

@@ -74,7 +74,7 @@ def save_dataframe_to_csv(df):
     return temp_file_path
 
 # Main function to perform image captioning and image-text matching
-def process_images_and_statements(image):
+def process_images_and_statements(image, file):
     logging.info('Starting process_images_and_statements')
 
     # Generate image caption for the uploaded image using git-large-r-textcaps
@@ -101,11 +101,12 @@ def process_images_and_statements(image):
 
         # Append the result to the results_list
         results_list.append({
+            'File Name': file.name, # Include the file name
             'Statement': statement,
-            'Generated Caption': caption, # Include the generated caption
-            'Textual Similarity Score': f"{textual_similarity_score:.2f}%", # Format as percentage with two decimal places
-            'ITM Score': f"{itm_score_statement:.2f}%", # Format as percentage with two decimal places
-            'Final Combined Score': f"{final_score:.2f}%" # Format as percentage with two decimal places
+            'Generated Caption': caption,
+            'Textual Similarity Score': f"{textual_similarity_score:.2f}%",
+            'ITM Score': f"{itm_score_statement:.2f}%",
+            'Final Combined Score': f"{final_score:.2f}%"
         })
 
     # Convert the results_list to a DataFrame using pandas.concat
@@ -117,17 +118,17 @@ def process_images_and_statements(image):
     csv_results = save_dataframe_to_csv(results_df)
 
     # Return both the DataFrame and the CSV data for the Gradio interface
-    return results_df, csv_results # <--- Return results_df and csv_results
+    return results_df, csv_results
 
 # Gradio interface
-image_input = gr.inputs.Image()
+image_input = gr.inputs.Image(type="file", label="Upload 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
+    inputs=[image_input],
+    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