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import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text2text-generation", model="philipp-zettl/t5-small-long-qa")
def generate(context, question):
prompt = f"question: {question} context: {context}"
return pipe(prompt)
demo = gr.Interface(fn=generate, inputs=[gr.Text('context'),gr.Text('question')], outputs="text")
demo.launch() |