Change labeling to seconds from tokens

Author: Oncorporation

app.py

@@ -480,7 +480,7 @@ def ui(**kwargs):
                                 dimension = gr.Slider(minimum=-2, maximum=2, value=2, step=1, label="Dimension", info="determines which direction to add new segements of audio. (1 = stack tracks, 2 = lengthen, -2..0 = ?)", interactive=True)
                             with gr.Row():
                                 topk = gr.Number(label="Top-k", value=280, precision=0, interactive=True)
-                                topp = gr.Number(label="Top-p", value=1150, precision=0, interactive=True)
+                                topp = gr.Number(label="Top-p", value=1150, precision=0, interactive=True, info="overwrites Top-k if not zero")
                                 temperature = gr.Number(label="Randomness Temperature", value=0.7, precision=None, interactive=True)
                                 cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.5, precision=None, interactive=True)
                             with gr.Row():

audiocraft/models/musicgen.py

@@ -411,15 +411,17 @@ def _generate_tokens(self, attributes: tp.List[ConditioningAttributes],
 
         def _progress_callback(generated_tokens: int, tokens_to_generate: int):
             generated_tokens += current_gen_offset
+            generated_tokens /= 50
+            tokens_to_generate /= 50
             if self._progress_callback is not None:
                 # Note that total_gen_len might be quite wrong depending on the
                 # codebook pattern used, but with delay it is almost accurate.
-                self._progress_callback((generated_tokens / total_gen_len), f"Generated {generated_tokens}/{total_gen_len} tokens")
+                self._progress_callback((generated_tokens / tokens_to_generate), f"Generated {generated_tokens}/{tokens_to_generate} seconds")
             if progress_callback is not None:
                 # Update Gradio progress bar
-                progress_callback((generated_tokens / total_gen_len), f"Generated {generated_tokens}/{total_gen_len} tokens")
+                progress_callback((generated_tokens / tokens_to_generate), f"Generated {generated_tokens}/{tokens_to_generate} seconds")
             if progress:
-                print(f'{generated_tokens: 6d} / {total_gen_len: 6d}', end='\r')
+                print(f'{generated_tokens: 6.2f} / {tokens_to_generate: 6.2f}', end='\r')
 
         if prompt_tokens is not None:
             assert max_prompt_len >= prompt_tokens.shape[-1], \