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import os
import re
from http import HTTPStatus
from typing import Dict, List, Optional, Tuple
import base64
import dashscope
import gradio as gr
from dashscope import Generation
from dashscope.api_entities.dashscope_response import Role
import modelscope_studio.components.base as ms
import modelscope_studio.components.legacy as legacy
import modelscope_studio.components.antd as antd
# Initialize DashScope
YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN')
dashscope.api_key = YOUR_API_TOKEN
# Type definitions
History = List[Tuple[str, str]]
Messages = List[Dict[str, str]]
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) -> History:
assert messages[0]['role'] == Role.SYSTEM
history = []
for q, r in zip(messages[1::2], messages[2::2]):
history.append([q['content'], r['content']])
return history
def remove_code_block(text):
pattern = r'```html\n(.+?)\n```'
match = re.search(pattern, text, re.DOTALL)
if match:
return match.group(1).strip()
return text.strip()
def history_render(history: History):
return gr.update(open=True), history
def clear_history():
return []
def send_to_sandbox(code):
encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8')
data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}"
return f"<iframe src=\"{data_uri}\" width=\"100%\" height=\"920px\"></iframe>"
with gr.Blocks(css_paths="app.css") as demo:
history = gr.State([])
setting = gr.State({
"system": "You are an AI assistant specialized in creating web applications and tools."
})
with ms.Application() as app:
with antd.ConfigProvider():
with antd.Row(gutter=[32, 12]) as layout:
# Left Column
with antd.Col(span=24, md=8):
with antd.Flex(vertical=True, gap="middle", wrap=True):
header = gr.HTML("""
<div class="left_header">
<img src="//img.alicdn.com/imgextra/i2/O1CN01KDhOma1DUo8oa7OIU_!!6000000000220-1-tps-240-240.gif" width="200px" />
<h1>AI TOOL BUILDER BY SYNCMERCE</h1>
</div>
""")
input = antd.InputTextarea(
size="large",
allow_clear=True,
placeholder="Please enter what kind of application you want"
)
btn = antd.Button("send", type="primary", size="large")
clear_btn = antd.Button("clear history", type="default", size="large")
with antd.Flex(gap="small", wrap=True):
settingPromptBtn = antd.Button("⚙️ set system Prompt", type="default")
codeBtn = antd.Button("🧑💻 view code", type="default")
historyBtn = antd.Button("📜 history", type="default")
# Right Column
with antd.Col(span=24, md=16):
with ms.Div(elem_classes="right_panel"):
gr.HTML("""
<div class="render_header">
<span class="header_btn"></span>
<span class="header_btn"></span>
<span class="header_btn"></span>
</div>
""")
with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab:
with antd.Tabs.Item(key="empty"):
empty = antd.Empty(
description="Start by describing your application",
elem_classes="right_content"
)
with antd.Tabs.Item(key="loading"):
loading = antd.Spin(
True,
tip="Creating your application...",
size="large",
elem_classes="right_content"
)
with antd.Tabs.Item(key="render"):
sandbox = gr.HTML(elem_classes="html_content")
# Add modals and drawers
with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal:
systemPromptInput = antd.InputTextarea(
"You are an AI assistant specialized in creating web applications and tools.",
auto_size=True
)
with antd.Drawer(open=False, title="code", placement="left", width="750px") as code_drawer:
code_output = legacy.Markdown()
with antd.Drawer(open=False, title="history", placement="left", width="900px") as history_drawer:
history_output = legacy.Chatbot(
show_label=False,
flushing=False,
height=960,
elem_classes="history_chatbot"
)
# Event handlers
def generation_code(query: Optional[str], _setting: Dict[str, str], _history: Optional[History]):
if query is None:
query = ''
if _history is None:
_history = []
messages = history_to_messages(_history, _setting['system'])
messages.append({'role': Role.USER, 'content': query})
gen = Generation.call(
model="qwen2.5-coder-32b-instruct",
messages=messages,
result_format='message',
stream=True
)
for response in gen:
if response.status_code == HTTPStatus.OK:
role = response.output.choices[0].message.role
content = response.output.choices[0].message.content
if response.output.choices[0].finish_reason == 'stop':
_history = messages_to_history(messages + [
{'role': role, 'content': content}
])
yield {
code_output: content,
history: _history,
sandbox: send_to_sandbox(remove_code_block(content)),
state_tab: gr.update(active_key="render"),
code_drawer: gr.update(open=False),
}
else:
yield {
code_output: content,
state_tab: gr.update(active_key="loading"),
code_drawer: gr.update(open=True),
}
else:
raise ValueError(
f'Request id: {response.request_id}, Status code: {response.status_code}, '
f'error code: {response.code}, error message: {response.message}'
)
# Connect event handlers
btn.click(
generation_code,
inputs=[input, setting, history],
outputs=[code_output, history, sandbox, state_tab, code_drawer]
)
settingPromptBtn.click(
lambda: gr.update(open=True),
outputs=[system_prompt_modal]
)
system_prompt_modal.ok(
lambda input: ({"system": input}, gr.update(open=False)),
inputs=[systemPromptInput],
outputs=[setting, system_prompt_modal]
)
system_prompt_modal.cancel(
lambda: gr.update(open=False),
outputs=[system_prompt_modal]
)
codeBtn.click(
lambda: gr.update(open=True),
outputs=[code_drawer]
)
code_drawer.close(
lambda: gr.update(open=False),
outputs=[code_drawer]
)
historyBtn.click(
history_render,
inputs=[history],
outputs=[history_drawer, history_output]
)
history_drawer.close(
lambda: gr.update(open=False),
outputs=[history_drawer]
)
clear_btn.click(clear_history, outputs=[history])
if __name__ == "__main__":
demo.queue(default_concurrency_limit=20).launch(
server_name="0.0.0.0",
server_port=7860,
share=True,
ssr_mode=False
) |