|
import speech_recognition as sr |
|
from pydub import AudioSegment |
|
import soundfile |
|
import pyrebase |
|
from pydub import AudioSegment |
|
import soundfile |
|
import os |
|
import pyrebase |
|
import gradio as gr |
|
from transformers import AutoProcessor |
|
from transformers import Wav2Vec2ForCTC |
|
import gradio as gr |
|
import torch |
|
import torchaudio |
|
from transformers import pipeline |
|
|
|
classifier = pipeline("audio-classification", model="omarelsayeed/ed8am_elnoon_weltanween_bedon8onna") |
|
|
|
|
|
def recite_wav(path_name): |
|
|
|
|
|
|
|
return classifier(path_name) |
|
|
|
|
|
def list_all_files(): |
|
for _file in storage.child("wavfiles").list_files(): |
|
print(_file.name) |
|
|
|
def download_wav_file(wav_name): |
|
storage.child("wavfiles").child(wav_name).download("xd.wav") |
|
|
|
def get_quran_text(wav_file_path): |
|
download_wav_file(wav_file_path) |
|
recitation = recite_wav("xd.wav") |
|
os.remove("xd.wav") |
|
return recitation |
|
|
|
firebaseConfig = { |
|
"apiKey": "AIzaSyDjgBD762KveE8GBO7jqTTkj_mKhUTDwGM", |
|
"authDomain": "quran-c5cbe.firebaseapp.com", |
|
"databaseURL":"quran-c5cbe.firebaseio.com/", |
|
"projectId": "quran-c5cbe", |
|
"storageBucket": "quran-c5cbe.appspot.com", |
|
"serviceAccount":"quran-c5cbe-firebase-adminsdk-jvpbe-cebaf5aaa6.json" |
|
} |
|
|
|
firebase = pyrebase.initialize_app(firebaseConfig) |
|
|
|
storage = firebase.storage() |
|
|
|
iface = gr.Interface(fn=get_quran_text, inputs="text", outputs="text") |
|
|
|
iface.launch() |