from transformers import pipeline import gradio as gr pipe = pipeline("automatic-speech-recognition", model="oyemade/w2v-bert-2.0-hausa-CV17.0") def transcribe(audio): text = pipe(audio)["text"] return text iface = gr.Interface( transcribe, gr.Audio(sources="microphone", type="filepath"), "text", title="Neoform AI: Hausa Speech Recognition", description="Realtime demo for Hausa speech recognition using a fine-tuned Wav2Vec-Bert model. https://neoformai.com . NOTE: If you get an error after pressing submit, give the audio some secs to load then try again.", ) iface.launch()