Spaces:
Build error
Build error
| from transformers import pipeline | |
| import gradio as gr | |
| from pyctcdecode import BeamSearchDecoderCTC | |
| from Aniemore import EmotionFromVoice | |
| # emo = pipeline("audio-classification", model="Aniemore/wav2vec2-xlsr-53-russian-emotion-recognition", trust_remote_code=True) | |
| emo = EmotionFromVoice() | |
| def transcribe(audio): | |
| emotion = emo(audio) | |
| return emotion | |
| def get_asr_interface(): | |
| return gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.inputs.Audio(source="microphone", type="filepath") | |
| ], | |
| outputs=[ | |
| "textbox", | |
| ]) | |
| interfaces = [ | |
| get_asr_interface() | |
| ] | |
| names = [ | |
| "ASR" | |
| ] | |
| gr.TabbedInterface(interfaces, names).launch(server_name = "0.0.0.0", enable_queue=False) |