update inference

app.py

@@ -1,11 +1,10 @@
 import gradio as gr
 import nltk
 import librosa
-
-from transformers import pipeline, TranslationPipeline, AutoTokenizer, TranslationPipeline
-from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC, Wav2Vec2Tokenizer
+from transformers import pipeline
 from transformers.file_utils import cached_path, hf_bucket_url
 import os, zipfile
+from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC, Wav2Vec2Tokenizer
 from datasets import load_dataset
 import torch
 import kenlm
@@ -126,5 +125,4 @@ with gr.TabItem("Vi-En Realtime Translation"):
             "state",
 
         ],
-        examples=vi_example_voice,
         live=True).launch()

requirements.txt

@@ -1,7 +1,6 @@
 torch==1.9.0
 torchaudio==0.9.0
-transformers==4.9.2
-transformers[sentencepiece]
+transformers==4.9.2 
 datasets==1.11.0 
 pyctcdecode==v0.1.0
 speechbrain
@@ -13,4 +12,6 @@ ffmpeg-python
 gradio
 nltk
 librosa
-https://github.com/kpu/kenlm/archive/master.zip
+transformers
+transformers[sentencepiece]
+https://github.com/kpu/kenlm/archive/master.zip