Upload app.py

app.py

@@ -1,3 +1,11 @@
+# -*- coding: utf-8 -*-
+"""HW3_ml.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1z4ht7K9pttbgWmDDnrQhqoZ6SYAiaeUe
+"""
 
 # !pip -q uninstall gradio -y
 # !pip -q install gradio==3.50.2
@@ -14,7 +22,7 @@ from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Proce
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
-asr_pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-xls-r-300m", device=device)
+asr_pipe = pipeline("automatic-speech-recognition", model="voidful/wav2vec2-xlsr-multilingual-56", device=device)
 
 
 processor = WhisperProcessor.from_pretrained(
@@ -25,7 +33,6 @@ translator2 = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ru")
 
 from transformers import VitsModel, VitsTokenizer
 
-
 model = VitsModel.from_pretrained("facebook/mms-tts-rus")
 tokenizer = VitsTokenizer.from_pretrained("facebook/mms-tts-rus")
 
@@ -64,11 +71,6 @@ https://imgur.com/UNH5ym1
 * Далее идет перевод с языка, на котором была запись, на английский, и после этого на русский 
 * Потом переведенный текст воспроизводится на русском языке 
 
-
- 
-
-
-
 """
 
 demo = gr.Blocks()