gradio/demo/asr/run.py
Nikita Krasnytskyi b888db4a9a
Updated Guide: Real Time Speech Recognition (#9349)
* Update real-time-speech-recognition.md

added necessary dependency

* Update run.py

updated code to handle cases with stereo microphone

* Update real-time-speech-recognition.md

improved english

* Update run.py

updated code for streaming

* Update run.py
2024-09-16 15:16:48 +00:00

27 lines
566 B
Python

import gradio as gr
from transformers import pipeline
import numpy as np
transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en")
def transcribe(audio):
sr, y = audio
# Convert to mono if stereo
if y.ndim > 1:
y = y.mean(axis=1)
y = y.astype(np.float32)
y /= np.max(np.abs(y))
return transcriber({"sampling_rate": sr, "raw": y})["text"] # type: ignore
demo = gr.Interface(
transcribe,
gr.Audio(sources="microphone"),
"text",
)
if __name__ == "__main__":
demo.launch()