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import gradio as gr | |
import torch | |
from transformers import pipeline | |
title = "Text Generator" | |
description = "This text generator has been trained to chat and to respond to natural language instructions." | |
ans = pipeline(model="databricks/dolly-v2-3", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto") | |
def answer(query): | |
out = ans(query) | |
return out | |
Demo = gr.Interface(fn=answer, inputs='text', outputs='text', title=title, description=description) | |
Demo.launch() |