Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 
-p = pipeline("automatic-speech-recognition", model="techiaith/wav2vec2-xlsr-ft-cy", decoder = "Wav2Vec2ProcessorWithLM")
+p = pipeline("automatic-speech-recognition", model="DewiBrynJones/wav2vec2-xlsr-53-ft-ccv-en-cy", decoder = "Wav2Vec2ProcessorWithLM")
 
 def transcribe(audio):
     text = p(audio)["text"]
@@ -9,8 +9,8 @@ def transcribe(audio):
 
 demo = gr.Interface(
     fn=transcribe,
-    title="Adnabod Lleferydd Cymraeg // Welsh Automatic Speech Recognition",
-    description="Recordiwch eich hunain gyda'ch meicroffon yn dweud rhywbeth yn Gymraeg ac fe ddangosir yr AI drawsgrifiad o beth dywedoch. // Record yourself with your microphone saying something in Welsh and the AI will show you a transcript of what you said. ",
+    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")
 )