Spaces:
Runtime error
Runtime error
File size: 1,940 Bytes
8aa42aa fd51276 8aa42aa 3de00ec 8aa42aa fd51276 8aa42aa |
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 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
import os
os.system("pip install git+https://github.com/openai/whisper.git")
import whisper
from flask import Flask, jsonify, request
import requests
import time
model = whisper.load_model("large-v2")
app = Flask(__name__)
app.config['TIMEOUT'] = 60 * 10 # 10 mins
@app.route("/")
def indexApi():
return jsonify({"output": "okay"})
@app.route("/run", methods=['POST'])
def runApi():
start_time = time.time()
audio_url = request.form.get("audio_url")
response = requests.get(audio_url)
if response.status_code == requests.codes.ok:
with open("audio.mp3", "wb") as f:
f.write(response.content)
else:
return jsonify({
"result": "Unable to save file, status code: {response.status_code}" ,
}), 400
audio = "audio.mp3"
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)
end_time = time.time()
total_time = end_time - start_time
return jsonify({
"audio_url": audio_url,
# "model": model,
"result": result.text,
"exec_time_sec": total_time
})
if __name__ == "__main__":
options = {
'gateway_timeout': 600
}
app.run(host="0.0.0.0", port=7860, options=options)
# 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)
|