Delete app.py

app.py

@@ -1,26 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-import numpy as np
-
-transcriber = pipeline("automatic-speech-recognition", model="facebook/xm_transformer_s2ut_hk-en")
-
-def transcribe(stream, new_chunk):
-    sr, y = new_chunk
-    y = y.astype(np.float32)
-    y /= np.max(np.abs(y))
-
-    if stream is not None:
-        stream = np.concatenate([stream, y])
-    else:
-        stream = y
-    return stream, transcriber({"sampling_rate": sr, "raw": stream})["text"]
-
-
-demo = gr.Interface(
-    transcribe,
-    ["state", gr.Audio(sources=["microphone"], streaming=True)],
-    ["state", "text"],
-    live=True,
-)
-
-demo.launch()