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import gradio as gr | |
hf_writer = gr.HuggingFaceDatasetSaver(HF_API_TOKEN, "emotion-detection-mistakes") | |
examples = ["I love you", "I lost my wallet"] | |
gr.Interface.load( | |
"huggingface/j-hartmann/emotion-english-distilroberta-base", | |
title="Basic emotion detection", | |
examples = examples, | |
allow_flagging="manual", flagging_callback=hf_writer | |
).launch(); |