Update app.py

app.py

@@ -143,7 +143,7 @@ def slice_audio(file_path, audio_name):
     for i, chunk in enumerate(chunks):
         if len(chunk.shape) > 1:
             chunk = chunk.T
-        sf.write(f'dataset/{audio_name}/{audio_name}/split_{i}.wav', chunk, sr)
+        sf.write(f'dataset/{audio_name}/split_{i}.wav', chunk, sr)
     return f"dataset/{audio_name}"
 
 # Function to zip the dataset directory
@@ -193,16 +193,18 @@ with gr.Blocks() as demo:
                 url_input = gr.Textbox(label="YouTube URL")
                 audio_name_input = gr.Textbox(label="Audio Name")
             with gr.Row():
-                with gr.Accordion("Export dataset to huggingface"):
+                with gr.Accordion("Export dataset to huggingface", open=False):
                     with gr.Row():
-                        hf_token_input = gr.Textbox(label="Hugging Face Token", type="password")
+                        hf_token_input = gr.Textbox(label="Hugging Face Token")
                         repo_id_input = gr.Textbox(label="Repository ID")
+                        push_hub = gr.Button(label="Hugging Face Upload Status")
+                        push_hub.click(fn=process_audio, inputs=[result_output, hf_token_input, repo_id_input], outputs=[upload_output])
                         upload_output = gr.Textbox(label="Hugging Face Upload Status")
             with gr.Row():
                 result_output = gr.File(label="Download Sliced Audio Zip")
             with gr.Row():
                 run_button = gr.Button("Download and Slice Audio")
-                run_button.click(fn=process_audio, inputs=[url_input, audio_name_input, hf_token_input, repo_id_input], outputs=[result_output, upload_output])
+                run_button.click(fn=process_audio, inputs=[url_input, audio_name_input, hf_token_input, repo_id_input], outputs=[result_output])