Upload app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(model="SebLih/whisper-SV3") # 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"), 
+    outputs="text",
+    title="Whisper Small Swedish",
+    description="Realtime speech recognition and transcription of Swedish language through the use of a Whisper small model.",
+)
+
+iface.launch(share=True)