mirror of https://github.com/THUDM/ChatGLM-6B
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
40 lines
1.4 KiB
40 lines
1.4 KiB
from transformers import AutoModel, AutoTokenizer |
|
import gradio as gr |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) |
|
model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda() |
|
model = model.eval() |
|
|
|
MAX_TURNS = 20 |
|
MAX_BOXES = MAX_TURNS * 2 |
|
|
|
|
|
def predict(input, history=None): |
|
if history is None: |
|
history = [] |
|
response, history = model.chat(tokenizer, input, history) |
|
updates = [] |
|
for query, response in history: |
|
updates.append(gr.update(visible=True, value="用户：" + query)) |
|
updates.append(gr.update(visible=True, value="ChatGLM-6B：" + response)) |
|
if len(updates) < MAX_BOXES: |
|
updates = updates + [gr.Textbox.update(visible=False)] * (MAX_BOXES - len(updates)) |
|
return [history] + updates |
|
|
|
|
|
with gr.Blocks() as demo: |
|
state = gr.State([]) |
|
text_boxes = [] |
|
for i in range(MAX_BOXES): |
|
if i % 2 == 0: |
|
text_boxes.append(gr.Markdown(visible=False, label="提问：")) |
|
else: |
|
text_boxes.append(gr.Markdown(visible=False, label="回复：")) |
|
|
|
with gr.Row(): |
|
with gr.Column(scale=4): |
|
txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False) |
|
with gr.Column(scale=1): |
|
button = gr.Button("Generate") |
|
button.click(predict, [txt, state], [state] + text_boxes) |
|
demo.queue().launch(share=True)
|
|
|