Spaces:
Runtime error
Runtime error
File size: 1,180 Bytes
ccbbbf4 09ae93f ccbbbf4 7f25690 ccbbbf4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
import os
os.system("pip install git+https://github.com/openai/whisper.git")
import gradio as gr
import whisper
model = whisper.load_model("small")
def inference(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)
print(result.text)
return result.text, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
block = gr.Blocks(css=css)
with block:
with gr.Group():
with gr.Box():
with gr.Row().style(mobile_collapse=False, equal_height=True):
audio = gr.Audio(
label="Input Audio",
show_label=False,
source="microphone",
type="filepath"
)
btn = gr.Button("Transcribe")
text = gr.Textbox(show_label=False, elem_id="result-textarea")
btn.click(inference, inputs=[audio], outputs=[text])
block.launch()
|