Duplicate from elina12/tarteel

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README.md

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+---
+title: Tarteel
+emoji: 👀
+colorFrom: red
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.38.0
+app_file: app.py
+pinned: false
+license: other
+duplicated_from: elina12/tarteel
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# 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()

requirements.txt

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+transformers
+torch