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import gradio as gr | |
iface = gr.Interface.load("models/nhantran0506/law-llms-v1") | |
def wrapper_fn(text, token): | |
# Here, you can use the token as needed. | |
# For example, you might pass it to your model. | |
return iface.predict(text) | |
inputs = [ | |
gr.inputs.Textbox(lines=2, label="Input Text"), | |
gr.inputs.Textbox(lines=1, label="Token") | |
] | |
iface = gr.Interface(fn=wrapper_fn, inputs=inputs, outputs="text") | |
iface.launch(share=True) |