app.py

import time
import gradio as gr
from transformers import pipeline

# Initialize the transcription pipeline using a Hugging Face model
pipe = pipeline(model="Ussen/whisper-medium-swc-drc-kat-1")

def transcribe_with_timing(audio):
    # Start timing
    start_time = time.time()
    # Perform transcription
    text = pipe(audio)["text"]
    # Calculate elapsed time
    elapsed_time = time.time() - start_time
    return text, f"Transcription time: {elapsed_time:.2f} seconds"

# Create Gradio interface
demo = gr.Interface(
    fn=transcribe_with_timing,
    inputs=gr.Audio(type="filepath", label="Bonyeza kitufe cha kurekodi na uliza swali lako"),
    outputs=[
        gr.Textbox(label="Jibu (kwa njia ya maandishi)"),
        gr.Textbox(label="Transcription Time")
    ],
    description="Rekodi sauti yako na upate maandishi (Swahili ASR)",
    live=True
)

demo.queue(api_open=True)  
demo.launch()