Update app.py

app.py

@@ -0,0 +1,35 @@
+from transformers import pipeline
+import gradio as gr
+import pyewts
+
+converter = pyewts.pyewts()
+
+
+
+pipe = pipeline(model="spsither/whisper-small-r2-70k-2ep",device='cuda')  # change to "your-username/the-name-you-picked"
+
+
+def transcribe(microphone, upload):
+    if(microphone):
+       audio = microphone  
+    else:
+       audio = upload
+       
+       
+    text = pipe(audio)["text"]
+    text = remove_repeated_words(text)
+    state = converter.toUnicode(text)
+    return state
+
+
+# Set the starting state to an empty string
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=[gr.Audio(source="microphone", type="filepath"),gr.Audio(source="upload", type="filepath")],
+    outputs="text",
+    title="Whisper Large Tibetan",
+    description="Realtime demo for Tibetan speech recognition using a fine-tuned Whisper medium model.",
+)
+
+iface.launch(share=True,debug=True)