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import os
os.system('pip install dashscope')
import gradio as gr
from http import HTTPStatus
import dashscope
from dashscope import Generation
from dashscope.api_entities.dashscope_response import Role
from typing import List, Optional, Tuple, Dict
from urllib.error import HTTPError
default_system = 'You are a helpful assistant.'
YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN')
dashscope.api_key = YOUR_API_TOKEN
History = List[Tuple[str, str]]
Messages = List[Dict[str, str]]
def clear_session() -> History:
return '', []
def modify_system_session(system: str) -> str:
if system is None or len(system) == 0:
system = default_system
return system, system, []
def history_to_messages(history: History, system: str) -> Messages:
messages = [{'role': Role.SYSTEM, 'content': system}]
for h in history:
messages.append({'role': Role.USER, 'content': h[0]})
messages.append({'role': Role.ASSISTANT, 'content': h[1]})
return messages
def messages_to_history(messages: Messages) -> Tuple[str, History]:
assert messages[0]['role'] == Role.SYSTEM
system = messages[0]['content']
history = []
for q, r in zip(messages[1::2], messages[2::2]):
history.append([q['content'], r['content']])
return system, history
def model_chat(query: Optional[str], history: Optional[History], system: str
) -> Tuple[str, str, History]:
if query is None:
query = ''
if history is None:
history = []
messages = history_to_messages(history, system)
messages.append({'role': Role.USER, 'content': query})
gen = Generation.call(
model = "qwen1.5-72b-chat",
messages=messages,
result_format='message',
stream=True
)
for response in gen:
if response.status_code == HTTPStatus.OK:
role = response.output.choices[0].message.role
response = response.output.choices[0].message.content
system, history = messages_to_history(messages + [{'role': role, 'content': response}])
yield '', history, system
else:
raise HTTPError('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
response.request_id, response.status_code,
response.code, response.message
))
with gr.Blocks() as demo:
gr.Markdown("""<center><font size=8>Qwen1.5-72B-Chat</center>""")
gr.Markdown("""<center><font size=4>Qwen1.5-72B-Chat is the 72-billion parameter chat model of the Qwen series.</center>""")
with gr.Row():
with gr.Column(scale=3):
system_input = gr.Textbox(value=default_system, lines=1, label='System')
with gr.Column(scale=1):
modify_system = gr.Button("🛠️ Set system prompt and clear history.", scale=2)
system_state = gr.Textbox(value=default_system, visible=False)
chatbot = gr.Chatbot(label='Qwen1.5-72B-Chat')
textbox = gr.Textbox(lines=2, label='Input')
with gr.Row():
clear_history = gr.Button("🧹 Clear history")
sumbit = gr.Button("🚀 Send")
sumbit.click(model_chat,
inputs=[textbox, chatbot, system_state],
outputs=[textbox, chatbot, system_input])
clear_history.click(fn=clear_session,
inputs=[],
outputs=[textbox, chatbot])
modify_system.click(fn=modify_system_session,
inputs=[system_input],
outputs=[system_state, system_input, chatbot])
demo.queue(api_open=False).launch(max_threads=10,height=800, share=False) |