File size: 557 Bytes
90b4970 0dc0508 d4d8b59 90b4970 a1af285 f863a5a 90b4970 a1af285 90b4970 660ac16 90b4970 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
# import gradio as gr
# gr.load("models/openai/whisper-large-v3-turbo").launch()
import gradio as gr
model = gr.load("models/openai/whisper-large-v3-turbo")
# Define a function to process the output and extract only the transcription text
def process_transcription(audio_input):
result = model(audio_input)
print(result)
# Extract the transcription text directly
transcription = result["text"]
return transcription
# Launch the interface
gr.Interface(
fn=process_transcription,
inputs="audio",
outputs="text"
).launch() |