Init

app.py

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+import gradio as gr
+from faster_whisper import WhisperModel
+
+device = "cpu"
+model_size = "tiny"
+compute_type = "int8"
+
+model = WhisperModel(model_size, device=device, compute_type=compute_type)
+    
+def transcribe(audio):
+    segments, _ = model.transcribe(audio, beam_size=5)
+    return "".join([segment.text for segment in segments])
+ 
+gr.Interface(
+    title = 'Fast Whisper for Speech Recognition', 
+    description = 'This is a tiny version running on CPU with int8 compute type due to limited resources. These choices can slightly reduce accuracy.',
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath")
+    ],
+    outputs=[
+        "textbox"
+    ]
+).launch()

requirements.txt

@@ -0,0 +1 @@
+faster-whisper