Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+import torch
+import os
+from huggingface_hub import login
+login(token=os.environ.get("HF_TOKEN"))
+pipe = pipeline("automatic-speech-recognition", model="aisha-org/Whisper-Uzbek")
+
+def transcribe_audio(audio_file):
+    result = pipe(audio_file)
+    return result["text"]
+
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Audio Transcription",
+#    description=""
+)
+
+iface.launch()