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import gradio as gr | |
from transformers import pipeline | |
pipe = pipeline("text2text-generation", model="lmsys/fastchat-t5-3b-v1.0") | |
def predict(text, history): | |
return pipe(text)[0]["generated_text"] | |
gr.ChatInterface( | |
fn = predict, | |
chatbot=gr.Chatbot(height=800), | |
textbox=gr.Textbox(placeholder="<Your question>", container=False, scale=7), | |
title="Enter your question", | |
description="Ask a question to the following model: lmsys/fastchat-t5-3b-v1.0", | |
theme="soft", | |
retry_btn=None, | |
undo_btn="Delete Previous", | |
clear_btn="Clear" | |
).launch() |