krrishD's picture
Upload with huggingface_hub
ee36ab4
raw
history blame contribute delete
738 Bytes
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)