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import gradio as gr
import random
import time
from transformers import pipeline
# model_name = '../checkpoint/koalpaca/ajoublue-gpt2-medium/epoch-4-last/'
generator = pipeline(
'text-generation',
model="heegyu/gorani-v0",
device="cuda:0"
)
def query(message, chat_history, max_turn=4):
prompt = ["<bot> ์ ๋ ํ๊ตญ์ด ์ฑ๋ด ๊ณ ๋ผ๋์
๋๋ค. ๊ถ๊ธํ ๊ฒ์ ๋ฌผ์ด๋ณด์ธ์. "]
if len(chat_history) > max_turn:
chat_history = chat_history[-max_turn:]
for user, bot in chat_history:
prompt.append(f"<usr> {user}")
prompt.append(f"<bot> {bot}")
prompt.append(f"<usr> {message}")
prompt = "\n".join(prompt) + "\n<bot>"
output = generator(
prompt,
do_sample=True,
top_p=0.9,
early_stopping=True,
max_length=256,
)[0]['generated_text']
print(output)
response = output[len(prompt):]
return response.strip()
with gr.Blocks() as demo:
chatbot = gr.Chatbot()
msg = gr.Textbox()
clear = gr.Button("Clear")
def respond(message, chat_history):
bot_message = query(message, chat_history) #random.choice(["How are you?", "I love you", "I'm very hungry"])
chat_history.append((message, bot_message))
# time.sleep(1)
return "", chat_history
msg.submit(respond, [msg, chatbot], [msg, chatbot])
clear.click(lambda: None, None, chatbot, queue=False)
demo.launch() |