Update app.py

app.py

@@ -32,7 +32,9 @@ def extract_and_display(url):
 
 def handle_model_summary(model_name):
     model_summary, error_message = get_model_summary(model_name)
-    return model_summary, error_message
+    if error_message:
+        return error_message, ""
+    return model_summary, ""
 
 # Create Gradio App
 app = gr.Blocks(theme="sudeepshouche/minimalist")
@@ -62,5 +64,23 @@ with app:
         model_submit_button = gr.Button("Submit")
         model_submit_button.click(fn=handle_model_summary, inputs=model_name_input, outputs=[model_output, error_output])
 
+    with gr.Tab("Non-HF Repository Extraction"):
+        gr.Markdown("# Non-Hugging Face Repository Content Extractor")
+        non_hf_url_input = gr.Textbox(label="Repository URL", placeholder="Enter the non-Hugging Face repository URL here...")
+        non_hf_output_display = gr.Textbox(label="Extracted Repository Content", show_copy_button=True, lines=20, placeholder="Repository content will be extracted here...")
+        non_hf_extract_button = gr.Button("Extract Content")
+        non_hf_extract_button.click(fn=extract_and_display, inputs=non_hf_url_input, outputs=non_hf_output_display)
+        
+        gr.Markdown("### Filter and Selector Options")
+        file_type_filter = gr.CheckboxGroup(label="File Types", choices=[".txt", ".py", ".md", ".json", ".yaml", ".csv"])
+        file_size_slider = gr.Slider(label="File Size Limit (KB)", minimum=0, maximum=1024, value=32, step=1)
+        intelligent_retrieval_checkbox = gr.Checkbox(label="Enable Intelligent Retrieval")
+        
+        non_hf_extract_button.click(
+            fn=extract_and_display,
+            inputs=[non_hf_url_input, file_type_filter, file_size_slider, intelligent_retrieval_checkbox],
+            outputs=non_hf_output_display
+        )
+
 if __name__ == "__main__":
     app.launch()