update model

app.py

@@ -22,7 +22,7 @@ inputs = gr.inputs.Audio(label="Input Audio", type="file")
 outputs = "text"
 title = "Turkish Automatic Speech Recognition"
 description = "Demo for Turkish Automatic Speech Recognition with Huggingface wav2vec Turkish Model. To use it, simply upload your audio, or click one of the examples to load them."
-article = "<p style='text-align: center'>This is the model for <a href='https://huggingface.co/patrickvonplaten/wav2vec2-common_voice-tr-demo-dist' target='_blank'>patrickvonplaten/wav2vec2-common_voice-tr-demo-dist</a>, a fine-tuned <a href='https://huggingface.co/facebook/wav2vec2-large-xlsr-53' target='_blank'>facebook/wav2vec2-large-xlsr-53</a> model on the <a href='https://commonvoice.mozilla.org/en/datasets' target='_blank'>Turkish Common Voice dataset</a>.<br/>When using this model, make sure that your speech input is sampled at 16kHz.<br/><a href='https://github.com/yavuzKomecoglu' target='_blank'>Contact me</a></p>"
+article = "<p style='text-align: center'>This is the model for <a href='https://huggingface.co/patrickvonplaten/wav2vec2-common_voice-tr-demo' target='_blank'>patrickvonplaten/wav2vec2-common_voice-tr-demo</a>, a fine-tuned <a href='https://huggingface.co/facebook/wav2vec2-large-xlsr-53' target='_blank'>facebook/wav2vec2-large-xlsr-53</a> model on the <a href='https://commonvoice.mozilla.org/en/datasets' target='_blank'>Turkish Common Voice dataset</a>.<br/>When using this model, make sure that your speech input is sampled at 16kHz.<br/><a href='https://github.com/yavuzKomecoglu' target='_blank'>Contact me</a></p>"
 examples = [
     ['assets/samples/common_voice_sample_1378.flac'],
     ['assets/samples/common_voice_sample_1589.flac'],

utils.py

@@ -28,8 +28,8 @@ class SpeechRecognition:
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         #self.processor = Wav2Vec2Processor.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-turkish")
         #self.model = Wav2Vec2ForCTC.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-turkish").to(self.device)
-        self.processor = AutoTokenizer.from_pretrained("patrickvonplaten/wav2vec2-common_voice-tr-demo-dist")
-        self.model = Wav2Vec2ForCTC.from_pretrained("patrickvonplaten/wav2vec2-common_voice-tr-demo-dist").to(self.device)
+        self.processor = Wav2Vec2Processor.from_pretrained("patrickvonplaten/wav2vec2-common_voice-tr-demo")
+        self.model = Wav2Vec2ForCTC.from_pretrained("patrickvonplaten/wav2vec2-common_voice-tr-demo").to(self.device)
 
         return self