| from transformers import pipeline | |
| import gradio as gr | |
| p = pipeline("automatic-speech-recognition") | |
| def transcribe(audio, state=""): | |
| """ Speech to text function using pipeline""" | |
| text = p(audio)["text"] | |
| state += text + " " | |
| return state, state | |
| gr.Interface( | |
| fn=transcribe, | |
| inputs=[gr.inputs.Audio(source="microphone", type="filepath", label="Record/ Drop audio"), "state"], | |
| outputs=["textbox", "state"], | |
| title="Automatic Speech Recognition", | |
| description="Enable the recognition spoken language into text by computers.", | |
| theme="huggingface", | |
| live=True).launch() |