I have an app that will convert audio file to text. Using flask and flask-socketio. It works perfectly when I run it using: "python run.py", but when I run it using: "gunicorn -k eventlet -b 0.0.0.0:5000 run:app" it will stop on the part where it calls the google speech to text api in audio.py file.
These are the current codes right now.
run.py:
from ats import socketio, app, db
if __name__ == '__main__':
db.create_all()
socketio.run(app, host='0.0.0.0', port=5001, debug=True)
init.py
import logging, json
from flask import Flask, jsonify, render_template, request
from flask_socketio import SocketIO, emit, send
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmall
app = Flask(__name__, instance_relative_config=True, static_folder="templates/static", template_folder="templates")
# Create db instance
db = SQLAlchemy(app)
ma = Marshmallow(app)
@app.route('/')
def index():
return render_template('index.html');
# import models
from ats import models
# set up CORS
CORS(app)
socketio = SocketIO(app, cors_allowed_origins='*', async_mode='eventlet')
# import blueprints
from ats.product.product import product_blueprint
# register blueprints
app.register_blueprint(product_blueprint, url_prefix='/api/product')
from ats import error_handlers
product.py
import os
import math
import eventlet
from os.path import join
from flask import Blueprint, request, jsonify, abort
from ats.utils import audio as AUDIO
product_blueprint = Blueprint('product', __name__)
@product_blueprint.route('/add', methods=['post'])
def addProduct():
try:
data = request.form
foldername = data['name']
scriptFile = request.files['script']
audioFile = request.files['audio']
# save the script and audio file to uploads folder
FILE.createFolder(foldername)
FILE.save(foldername, scriptFile)
FILE.save(foldername, audioFile)
# list the files in the uploads
audioFiles = FILE.getAudioFileList(foldername)
fileCount = len(audioFiles)
currentFile = 1
# ============ speech to text =============
for file in audioFiles:
recognizedText = AUDIO.convert(foldername, file)
# save to database
newAudio = {
'name': file,
'recognizedText': recognizedText,
'length': duration,
}
Audio.add(newAudio)
# emit event to update the client about the progress
percent = math.floor((currentFile / float(fileCount) ) * 100)
emit('upload_progress', {'data': percent}, room=data['sid'], namespace='/')
eventlet.sleep()
currentFile += 1
# Delete the files in uploads folder
FILE.delete(foldername)
return jsonify({'data': None, 'message': 'Product was added.', 'success': True}), 200
except Exception as e:
abort(500, str(e))
audio.py
import os
from ats import app
# Imports the Google Cloud client library
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
# Instantiates a client
client = speech.SpeechClient()
def convert(foldername, filename):
try:
file = os.path.join(app.config['UPLOAD_FOLDER'], foldername, filename)
# Loads the audio into memory
with io.open(file, 'rb') as audio_file:
content = audio_file.read()
audio = types.RecognitionAudio(content=content)
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=48000,
language_code='ja-JP')
# Call speech in the audio file
response = client.recognize(config, audio) # The code will stop here, that results to worker timeout in gunicorn
return response
except Exception as e:
raise e
I've been searching solution for almost a week but I still couldn't find one. THank you for you're help guys.
