Create app.py

app.py

@@ -0,0 +1,23 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="ZinebSN/whisper-small")  # 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(source="microphone", type="filepath"),
+            gr.Text(label="URL (YouTube, etc.)"),
+            gr.Audio(source="upload", type="filepath", label="Upload Audio")]
+    
+    outputs=[gr.File(label="Download"),
+             gr.Text(label="Text"), 
+             gr.Text(label="Segments")],
+    title="Whisper Small Swedish",
+    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()