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import gradio as gr | |
import torch | |
from transformers import pipeline | |
generate_text = pipeline(model="databricks/dolly-v2-3b", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto") | |
with gr.Blocks(theme=gr.themes.Soft()) as demo: | |
chatbot = gr.Chatbot() | |
msg = gr.Textbox() | |
clear = gr.Button("Clear") | |
def respond(message, chat_history): | |
res = generate_text(message) | |
a = (res[0]["generated_text"]) | |
b = str(a) | |
bot_message = b | |
chat_history.append((message, bot_message)) | |
return "", chat_history | |
msg.submit(respond, [msg, chatbot], [msg, chatbot]) | |
clear.click(lambda: None, None, chatbot, queue=False) | |
demo.launch() |