commit

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+
+model = pipeline(task="automatic-speech-recognition",
+                 model="facebook/s2t-medium-librispeech-asr")
+
+
+def predict_speech_to_text(audio):
+    prediction = model(audio)
+    text = prediction['text']
+    return text
+
+
+gr.Interface(fn=predict_speech_to_text,
+             title="🧑🏽‍🎤 PROLOVE 🥰😘 ",
+             inputs=gr.inputs.Audio(
+                 source="microphone", type="filepath", label="Input"),
+             outputs=gr.outputs.Textbox(label="Output"),
+             description="Using pipeline with Facebook S2T for ASR.",
+             examples=['ljspeech.wav'],
+             allow_flagging='never'
+             ).launch()