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import gradio as gr | |
# Use a pipeline as a high-level helper | |
from transformers import pipeline | |
pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment") | |
def analyze(message): | |
result = pipe(message) | |
return result | |
start = gr.Interface(fn=analyze, inputs="text", outputs="text") | |
start.launch(debug=True) | |