Update app.py

app.py

@@ -6,8 +6,8 @@ import librosa
 import numpy as np
 import re
 
-processor = Wav2Vec2Processor.from_pretrained("the-cramer-project/Wav2vec-Kyrgyz")
-model = Wav2Vec2ForCTC.from_pretrained("the-cramer-project/Wav2vec-Kyrgyz")
+processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-base-960h")
+model = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-base-960h")
 # model.to("cuda")
 
 def transcribe(file_):
@@ -19,7 +19,7 @@ def transcribe(file_):
 
     pred_ids = torch.argmax(logits, dim=-1)
     text = processor.batch_decode(pred_ids)[0]
-    return text
+    return text.lower()
 
 
 
@@ -28,8 +28,8 @@ iface = gr.Interface(
     fn=transcribe, 
     inputs=gr.Audio(type="filepath"),
     outputs="text",
-    title="Wave2Vec Kyrgyz",
-    description="Realtime demo for Kyrgyz speech recognition using a wave2vec model.",
+    title="Wave2Vec EN",
+    description="Realtime demo for English speech recognition using a wave2vec model.",
 )
 
 iface.launch()