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import gradio as gr | |
def qa_interface(question): | |
QUESTION = question | |
PROMPT = " You are an empathetic mental health chatbot. input: " + QUESTION + "output:" | |
json_op = predict_large_language_model_sample(PROMPT) | |
return json_op | |
iface = gr.Interface(fn=qa_interface, | |
inputs=[ | |
gr.Textbox(label="Enter your queries") | |
#, gr.Slider(0, 1, 0.3) | |
#, gr.Slider(0, 1, 1) | |
#, gr.Slider(0, 1024, 700) | |
#, gr.Slider(0, 40, 40) | |
], | |
outputs=[ | |
gr.Textbox(label="Bot"), | |
], | |
title="Mental Health ChatBot ", | |
description="Emphathetic Mental Health bot", | |
allow_flagging=False, | |
theme=gr.themes.Soft() | |
) | |
iface.launch(share=True) |