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add gradio webui.py #50
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Original file line number | Diff line number | Diff line change |
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import gradio as gr | ||
#pip install gradio==3.28.3 | ||
import mdtex2html | ||
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import torch | ||
# torch.cuda.set_device(2) | ||
from transformers import AutoModelForCausalLM, AutoTokenizer | ||
from transformers.generation.utils import GenerationConfig | ||
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MODEL_PATH='./' | ||
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tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, use_fast=False, trust_remote_code=True) | ||
model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, device_map="auto", torch_dtype=torch.float16, trust_remote_code=True) | ||
model.generation_config = GenerationConfig.from_pretrained(MODEL_PATH) | ||
print(model.generation_config) | ||
# model = model.quantize(8).cuda() | ||
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"""Override Chatbot.postprocess""" | ||
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def postprocess(self, y): | ||
if y is None: | ||
return [] | ||
for i, (message, response) in enumerate(y): | ||
y[i] = ( | ||
None if message is None else mdtex2html.convert((message)), | ||
None if response is None else mdtex2html.convert(response), | ||
) | ||
return y | ||
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gr.Chatbot.postprocess = postprocess | ||
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def parse_text(text): | ||
"""copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/""" | ||
lines = text.split("\n") | ||
lines = [line for line in lines if line != ""] | ||
count = 0 | ||
for i, line in enumerate(lines): | ||
if "```" in line: | ||
count += 1 | ||
items = line.split('`') | ||
if count % 2 == 1: | ||
lines[i] = f'<pre><code class="language-{items[-1]}">' | ||
else: | ||
lines[i] = f'<br></code></pre>' | ||
else: | ||
if i > 0: | ||
if count % 2 == 1: | ||
line = line.replace("`", "\`") | ||
line = line.replace("<", "<") | ||
line = line.replace(">", ">") | ||
line = line.replace(" ", " ") | ||
line = line.replace("*", "*") | ||
line = line.replace("_", "_") | ||
line = line.replace("-", "-") | ||
line = line.replace(".", ".") | ||
line = line.replace("!", "!") | ||
line = line.replace("(", "(") | ||
line = line.replace(")", ")") | ||
line = line.replace("$", "$") | ||
lines[i] = "<br>"+line | ||
text = "".join(lines) | ||
return text | ||
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stream = True | ||
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def predict(input, chatbot, max_length, top_p, temperature, history, past_key_values): | ||
model.generation_config.temperature = temperature | ||
model.generation_config.top_p = top_p | ||
model.generation_config.max_new_tokens = max_length | ||
chatbot.append((parse_text(input), "")) | ||
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history.append({"role": "user", "content": parse_text(input)}) | ||
if stream: | ||
position = 0 | ||
for response in model.chat(tokenizer, history, stream=True): | ||
chatbot[-1] = (parse_text(input), parse_text(response)) | ||
if torch.backends.mps.is_available(): | ||
torch.mps.empty_cache() | ||
yield chatbot, history, past_key_values | ||
print(response) | ||
history.append({"role": "assistant", "content": response}) | ||
else: | ||
response = model.chat(tokenizer, history) | ||
print(response) | ||
chatbot[-1] = (parse_text(input), parse_text(response)) | ||
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yield chatbot, history, past_key_values | ||
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def reset_user_input(): | ||
return gr.update(value='') | ||
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def reset_state(): | ||
return [], [], None | ||
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with gr.Blocks() as demo: | ||
gr.HTML("""<h1 align="center">Baichuan-13B-Chat</h1>""") | ||
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chatbot = gr.Chatbot() | ||
with gr.Row(): | ||
with gr.Column(scale=4): | ||
with gr.Column(scale=12): | ||
user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style( | ||
container=False) | ||
with gr.Column(min_width=32, scale=1): | ||
submitBtn = gr.Button("Submit", variant="primary") | ||
with gr.Column(scale=1): | ||
emptyBtn = gr.Button("Clear History") | ||
max_length = gr.Slider(0, 2048, value=1024, step=1.0, label="Maximum length", interactive=True) | ||
top_p = gr.Slider(0, 1, value=0.85, step=0.01, label="Top P", interactive=True) | ||
temperature = gr.Slider(0, 1, value=0.9, step=0.01, label="Temperature", interactive=True) | ||
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history = gr.State([]) | ||
past_key_values = gr.State(None) | ||
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submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history, past_key_values], | ||
[chatbot, history, past_key_values], show_progress=True) | ||
submitBtn.click(reset_user_input, [], [user_input]) | ||
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emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True) | ||
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demo.queue().launch(share=True, inbrowser=True,server_name="0.0.0.0", server_port=8891) |
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Shouldn't this point to https://huggingface.co/baichuan-inc/Baichuan-13B-Chat?