| import gradio as gr | |
| from transformers import pipeline | |
| p = pipeline("automatic-speech-recognition", model="DewiBrynJones/wav2vec2-xlsr-53-ft-ccv-en-cy", decoder = "Wav2Vec2ProcessorWithLM") | |
| def transcribe(audio): | |
| text = p(audio)["text"] | |
| return text | |
| demo = gr.Interface( | |
| fn=transcribe, | |
| title="Adnabod Lleferydd Cymraeg a Saesneg // Welsh and English Automatic Speech Recognition", | |
| description="Recordiwch eich hunain gyda'ch meicroffon yn dweud rhywbeth yn Gymraeg neu Saesneg ac fe ddangosir yr AI drawsgrifiad o beth dywedoch. // Record yourself with your microphone saying something in Welsh or English and the AI will show you a transcript of what you said. ", | |
| inputs=gr.Audio(sources=["microphone"], type="filepath"), | |
| outputs=gr.Textbox(label="Trawsgrifiad // Transcription") | |
| ) | |
| demo.launch() | |