SanjayRohith's picture
Update app.py
3e852bc
raw
history blame
491 Bytes
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()