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import gradio as gr
from transformers import pipeline
# Load Whisper pipeline
pipe = pipeline(task="automatic-speech-recognition", model="openai/whisper-small")
# Function to transcribe audio file
def transcribe(audio_file):
if audio_file is None:
return "Please upload an audio file."
return pipe(audio_file)["text"]
# Gradio Interface
with gr.Blocks() as app:
gr.Markdown("## 🎙️ Whisper Speech-to-Text (ASR)\nUpload or record audio and get transcription.")
with gr.Row():
audio_input = gr.Audio(type="filepath", label="Upload or Record Audio")
output_text = gr.Textbox(label="Transcription")
transcribe_btn = gr.Button("Transcribe")
transcribe_btn.click(fn=transcribe, inputs=audio_input, outputs=output_text)
app.launch()
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