Upload app.py

app.py

@@ -91,8 +91,8 @@ def create_vc_fn(model_name, tgt_sr, net_g, vc, if_f0, version, file_index):
                     return "You need to upload an audio", None
                 sampling_rate, audio = vc_upload
                 duration = audio.shape[0] / sampling_rate
-                if duration > 900 and spaces:
-                    return "Please upload an audio file that is less than 90 seconds. If you need to generate a longer audio file, please use Colab.", None
+                if duration > 20 and spaces:
+                    return "Please upload an audio file that is less than 20 seconds. If you need to generate a longer audio file, please use Colab.", None
                 audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32)
                 if len(audio.shape) > 1:
                     audio = librosa.to_mono(audio.transpose(1, 0))
@@ -251,9 +251,7 @@ if __name__ == '__main__':
     with gr.Blocks() as app:
         gr.Markdown(
             "<div align='center'>\n\n"+
-            "# Model RVC\n\n"+
-            " kalau upload Audio sampai 90 ada lambat sikit\n\n"+
-            " guna pm saja kalau guna harvest slow betul\n\n"+
+            "# Multi Model RVC Inference\n\n"+
             "[![Repository](https://img.shields.io/badge/Github-Multi%20Model%20RVC%20Inference-blue?style=for-the-badge&logo=github)](https://github.com/ArkanDash/Multi-Model-RVC-Inference)\n\n"+
             "</div>"
         )