Create app.py

app.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+import gradio as gr
+import torch
+
+
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+
+pipe = pipeline(model="fahadqazi/whisper-small-sindhi", device=device)  # change to "your-username/the-name-you-picked"
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Whisper Small Sindhi",
+    description="Realtime demo for Sindhi speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()