Add speech transcription

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+from librosa import load, resample
+
+
+asr_model = 'facebook/wav2vec2-base-960h'
+
+asr = pipeline('automatic-speech-recognition', model=asr_model, feature_extractor=asr_model)
+
+def transcribe(filepath):
+	speech, sampling_rate = load(filepath)
+	if sampling_rate != 16000:
+		speech = resample(speech, sampling_rate, 16000)
+	text = asr(speech)['text']
+	return text
+
+mic = gr.inputs.Audio(source='microphone', type='filepath', label='Speech input', optional=False)
+
+transcript = gr.outputs.Textbox(type='auto', label='Transcription')
+
+iface = gr.Interface(
+	theme='huggingface',
+	description='Testing transcription',
+	fn=transcribe,
+	inputs=[mic],
+	outputs=[transcript]
+)
+iface.launch()