Update app.py

app.py

@@ -1,13 +1,25 @@
 # Code adapted from: https://gradio.app/demos/
 
 import gradio as gr
-import os
+from transformers import pipeline
+import numpy as np
 
-demo = gr.Interface.load(
-    "huggingface/bartelds/gos-gpu6-cp1_adp0_192m_no_test_1e-5_cp-12000",
+transcriber = pipeline("automatic-speech-recognition", model="bartelds/gos-gpu6-cp1_adp0_192m_no_test_1e-5_cp-12000")
+
+def transcribe(audio):
+    sr, y = audio
+    y = y.astype(np.float32)
+    y /= np.max(np.abs(y))
+
+    return transcriber({"sampling_rate": sr, "raw": y})["text"]
+
+
+demo = gr.Interface(
+    transcribe,
+    gr.Audio(source="upload"),
+    "text",
     title="Speech-to-text for Gronings",
-    inputs="mic",
     description="Upload an audio file (in 16 kHz) with Gronings speech to obtain its transcription. Example files are in our [gos-demo](https://huggingface.co/datasets/bartelds/gos-demo) dataset."
 )
 
-demo.launch()
+demo.launch()