Create app.py

app.py

@@ -0,0 +1,25 @@
+import os
+os.environ["TRANSFORMERS_NO_TF"] = "1"
+
+from transformers import pipeline
+import gradio as gr
+
+# Explicitly define the task so HF knows it's ASR
+pipe = pipeline(
+    task="automatic-speech-recognition",
+    model="Sammau/wav2vec2-large-xls-r-300m-dv-ng"
+)
+
+def transcribe(audio):
+    return pipe(audio)["text"]
+
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
+    outputs="text",
+    title="Wav2Vec2 ASR Demo",
+    description="Realtime demo for English speech recognition using Sammau/wav2vec2-large-xls-r-300m-dv-ng."
+)
+
+if name == "main":
+    demo.launch()