Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Use the NCAIR Yoruba model
+# This might require a slightly larger Space (CPU Upgrade) or might run slowly on Free Tier
+transcriber = pipeline("automatic-speech-recognition", model="NCAIR1/Yoruba-ASR")
+
+def transcribe(audio):
+    text = transcriber(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath"), # Upload or Record audio
+    outputs="text",
+    title="Yoruba Speech Transcriber",
+    description="Speak or upload Yoruba audio to transcribe it to text."
+)
+
+iface.launch()