Update app.py

app.py

@@ -11,7 +11,7 @@ from transformers import Wav2Vec2Tokenizer, Wav2Vec2ForCTC
 nltk.download("punkt")
 
 #Loading the model and the tokenizer
-model_name = "facebook/wav2vec2-base-960h"
+model_name = "wasertech/wav2vec2-cv-fr-9"
 tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)
 model = Wav2Vec2ForCTC.from_pretrained(model_name)
 
@@ -63,5 +63,5 @@ gr.Interface(asr_transcript,
              outputs = gr.outputs.Textbox(label="Output Text"),
              title="ASR using Wav2Vec 2.0",
              description = "This application displays transcribed text for given audio input",
-             examples = [["Test_File1.wav"], ["Test_File2.wav"], ["Test_File3.wav"]], theme="grass").launch()
+             examples = [["wav/1.wav"], ["wav/2.wav"], ["wav/3.wav"]], theme="grass").launch()