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import os | |
os.system("pip install git+https://github.com/openai/whisper.git") | |
import gradio as gr | |
import whisper | |
# call whisper model for audio/speech processing | |
model = whisper.load_model("small") | |
def inference_audio(audio): | |
audio = whisper.load_audio(audio) | |
audio = whisper.pad_or_trim(audio) | |
mel = whisper.log_mel_spectrogram(audio).to(model.device) | |
_, probs = model.detect_language(mel) | |
options = whisper.DecodingOptions(fp16 = False) | |
result = whisper.decode(model, mel, options) | |
return result.text | |
audio = gr.Audio( | |
label="Input Audio", | |
show_label=False, | |
source="microphone", | |
type="filepath" | |
) | |
app=gr.Interface(title="Speech to text",fn=inference_audio,inputs=audio, outputs=["text"]).launch(debug = True) |