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import gradio as gr | |
from transformers import pipeline | |
pipe = pipeline("summarization", model="yhavinga/t5-v1.1-large-dutch-cnn-test") | |
def main(in_text): | |
print(in_text) | |
answer = pipe(in_text, min_length=5, max_length=20) | |
print(answer) | |
return answer[0]["summary_text"] | |
with gr.Blocks() as demo: | |
gr.Markdown("""# Summarization Engine!""") | |
with gr.Row(): | |
with gr.Column(): | |
text1 = gr.Textbox( | |
label="Input Text", | |
lines=1, | |
) | |
output = gr.Textbox(label="Output Text") | |
b1 = gr.Button("Summarize!") | |
b1.click(main, inputs=[text1], outputs=output) | |
gr.Markdown("""#### powered by [Tassle](https://bit.ly/3LXMklV)""") | |
if __name__ == "__main__": | |
demo.launch(debug=True) |