Update app.py

app.py

@@ -379,6 +379,7 @@ def process_file(file_obj, topic_prefix, sentiment_prefix, category_prefix,
                 text_column, recommendation_column, output_format, analyze_data, selected_columns):
     """
     Main processing function for Gradio interface.
+    Modified to return file path for automatic download.
     """
     try:
         # Extract actual column names from display format
@@ -426,7 +427,9 @@ def process_file(file_obj, topic_prefix, sentiment_prefix, category_prefix,
         # Save transformed data
         output_file = transformer.save_transformed_data(output_format)
         status_msg += f"\n💾 File saved successfully: {os.path.basename(output_file)}\n"
+        status_msg += f"📥 File download should start automatically\n"
 
+        # Return the file path directly for automatic download
         return status_msg, analysis_result, output_file
 
     except Exception as e:
@@ -452,8 +455,7 @@ with gr.Blocks(title="Feedback Topic & Sentiment Transformer", css="""
     1. Upload your Excel, CSV, or tab-delimited text file
     2. Select which original columns to include in the output
     3. Configure column prefixes (or use defaults)
-    4. Click "Transform Data" to process
-    5. Download the transformed file
+    4. Click "Transform Data" to process and automatically download the result
     """)
 
     with gr.Row():
@@ -521,7 +523,7 @@ with gr.Blocks(title="Feedback Topic & Sentiment Transformer", css="""
             )
 
     # Transform button
-    transform_btn = gr.Button("🔄 4. Transform Data", variant="primary", size="lg")
+    transform_btn = gr.Button("🔄 4. Transform Data & Download", variant="primary", size="lg")
 
     # Output sections
     with gr.Row():
@@ -537,12 +539,14 @@ with gr.Blocks(title="Feedback Topic & Sentiment Transformer", css="""
                 label="Data Analysis"
             )
 
-    # Download section - Modified for better download functionality
+    # Hidden download component for automatic download
     with gr.Row():
         with gr.Column():
-            gr.Markdown("### 📥 5. Download Transformed File")
+            gr.Markdown("### 📥 Download Status")
+            gr.Markdown("The transformed file will download automatically after processing completes.")
+            # File component that will trigger automatic download
             output_file = gr.File(
-                label="Transformed File",
+                label="Transformed File (Auto-Download)",
                 interactive=False,
                 visible=True
             )
@@ -554,6 +558,7 @@ with gr.Blocks(title="Feedback Topic & Sentiment Transformer", css="""
         outputs=[column_selector]
     )
 
+    # Modified to ensure automatic download
     transform_btn.click(
         fn=process_file,
         inputs=[
@@ -589,7 +594,8 @@ with gr.Blocks(title="Feedback Topic & Sentiment Transformer", css="""
     - Use the numbered column list to easily identify and select columns
     - The text and recommendation column names in configuration are now for reference only
     - To include them in output, select them using the column checkboxes
-    - Click on the download button that appears after processing to download the file
+    - **The file will download automatically** after transformation completes
+    - Look for the download in your browser's download folder
     """)
 
 # Launch the app