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app.py
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app.py
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import os
from flask import jsonify
from flask import Flask, render_template,request
from speech_recognition import *
from pydub import AudioSegment
from sample_recognize_custom_entities import *
from data_cleaning import clean_dict
from db import *
app = Flask(__name__)
@app.route("/")
def index():
return render_template('carga-sintomas.html')
@app.route('/uploader', methods = ['GET', 'POST'])
def upload_file():
if request.method == 'POST':
f = request.files['file']
#print('este es el file', f)
print('este es el tipo file', type(f))
path = os.path.join('./audio', "AAA.ogg")
f.save(path)
# print('saved', saved)
# print(type(f.read()))
# f.save('audio/audio_uploaded.wav')
# f.save(f.filename)
# voice_to_text(audio)
wav_path = convert_audio(path)
texto = voice_to_text(wav_path)
path_text = os.path.join('./text', "text_recognized.txt")
with open(path_text, 'w') as f:
f.write(texto.text)
response = sample_recognize_custom_entities()
print("response: ", response)
return response
def convert_audio(input_path):
src = input_path
dst = "audio/test.wav"
# convert wav to mp3
sound = AudioSegment.from_file(src)
sound.export(dst, format="wav")
return dst
@app.route('/consultadrpaciente',methods = ['GET',"POST"])
def consultadr():
path_text = os.path.join('./text', "text_recognized.txt")
with open(path_text, 'r') as f:
lines = f.readlines()
return render_template('consultadrpaciente.html',data=lines)
if __name__ == '__main__':
app.run(debug = True)