Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from reazonspeech.nemo.asr import audio_from_path, load_model, transcribe
+
+model = None
+
+def speech_to_text(audio_file):
+    global model
+
+    if not model:
+        model = load_model()
+
+    audio = audio_from_path(audio_file)
+    ret = transcribe(model, audio)
+
+    return ret.text, "\n".join(ret.segments), "\n".join(ret.subwords)
+
+load_model(model_size)
+
+gr.Interface(
+    fn=speech_to_text,
+    inputs=[
+        gr.Audio(sources="upload", type="filepath"),
+        ],
+    outputs=["text","text","text"]).launch()