Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="jbatista79/whisper-small-hi")  # change to "your-username/the-name-you-picked"
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    # inputs=gr.Audio(source="microphone", type="filepath"),
+    inputs=gr.Audio(sources=["microphone"], type="filepath"),
+    outputs="text",
+    title="Whisper Small Hindi - JRB",
+    description="Realtime proof-of-concept demo for Hindi speech recognition using a fine-tuned Whisper small model. Created by Josué R. Batista - 2024-01-13",
+)
+
+iface.launch(share=True)