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import gradio as gr | |
from transformers import pipeline | |
pipeline = pipeline(task="text-classification", model="colinryan/hf-deepmoji") | |
def predict(deepmoji_analysis): | |
predictions = pipeline(deepmoji_analysis) | |
return deepmoji_analysis, {p["label"]: p["score"] for p in predictions} | |
gradio_app = gr.Interface(fn=predict, inputs="text", outputs="text") | |
if __name__ == "__main__": | |
gradio_app.launch() |