Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load your model from the Hub
+pipe = pipeline("automatic-speech-recognition", model="uzair0/Katib-ASR")
+
+def transcribe_audio(audio_filepath):
+    if audio_filepath is None:
+        return "⚠️ Please record some audio first!"
+    result = pipe(
+        audio_filepath, 
+        generate_kwargs={"language": "pashto", "task": "transcribe"}
+    )
+    return result["text"]
+
+demo = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(sources=["microphone"], type="filepath", label="Record Pashto"),
+    outputs=gr.Textbox(label="Katib ASR Transcription", lines=3),
+    title="🎙️ Katib ASR: Pashto Speech Recognition",
+    description="Click the Record button below, speak Pashto into your microphone, and see the result!"
+)
+
+demo.launch()