Update app.py

app.py

@@ -1,41 +1,3 @@
-# from transformers import pipeline
-# import gradio as gr
-
-
-# # Load the pipeline with the cache_dir parameter
-# pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran")
-
-# def transcribe(audio):
-#     text = pipe(audio)["text"]
-#     return text
-
-# iface = gr.Interface(
-#     fn=transcribe,
-#     inputs=gr.Audio(source="upload", type="filepath"),
-#     outputs="text",
-# )
-
-# iface.launch()
-from transformers import pipeline
-
-model_id = "tarteel-ai/whisper-base-ar-quran"  # update with your model id
-pipe = pipeline("automatic-speech-recognition", model=model_id)
-
-def transcribe(filepath):
-    output = pipe(
-        filepath,
-        max_new_tokens=10000,
-        chunk_length_s=30,
-        batch_size=8,
-    )
-    return output["text"]
-
 import gradio as gr
 
-iface = gr.Interface(
-    fn=transcribe,
-    inputs=gr.Audio(source="upload", type="filepath"),
-    outputs="text",
-)
-
-iface.launch()
+gr.Interface.load("models/tarteel-ai/whisper-base-ar-quran").launch()