Updated app at mån 4 dec 2023 07:40:52 CET

app.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="martenb/whisper-small-sv")  # 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(),  # Removed the 'source' and 'type' arguments
+    outputs="text",
+    title="Whisper Small Swedish",
+    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()

requirements.txt

@@ -0,0 +1 @@
+transformers