import os import re from http import HTTPStatus from typing import Dict, List, Optional, Tuple import base64 import torch from transformers import AutoModelForCausalLM, AutoTokenizer import gradio as gr 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 from config import DEMO_LIST, SystemPrompt model_name = "Qwen/Qwen2.5-Coder-32B-Instruct" model = AutoModelForCausalLM.from_pretrained( model_name, torch_dtype="auto", device_map="auto" ) tokenizer = AutoTokenizer.from_pretrained(model_name) client = InferenceClient( provider="", api_key="" ) 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) -> Tuple[str, 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() else: 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"" def demo_card_click(e: gr.EventData): index = e._data['component']['index'] return DEMO_LIST[index]['description'] with gr.Blocks(css_paths="app.css") as demo: history = gr.State([]) setting = gr.State({ "system": SystemPrompt, }) with ms.Application() as app: with antd.ConfigProvider(): with antd.Row(gutter=[32, 12]) as layout: with antd.Col(span=24, md=8): with antd.Flex(vertical=True, gap="middle", wrap=True): header = gr.HTML("""

Qwen2.5-Coder

""") 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") antd.Divider("examples") with antd.Flex(gap="small", wrap=True): with ms.Each(DEMO_LIST): with antd.Card(hoverable=True, as_item="card") as demoCard: antd.CardMeta() demoCard.click(demo_card_click, outputs=[input]) antd.Divider("setting") 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") with antd.Modal(open=False, title="set system Prompt", width="800px") as system_prompt_modal: systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True) settingPromptBtn.click(lambda: gr.update(open=True), inputs=[], 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]) with antd.Drawer(open=False, title="code", placement="left", width="750px") as code_drawer: code_output = legacy.Markdown() codeBtn.click(lambda: gr.update(open=True), inputs=[], outputs=[code_drawer]) code_drawer.close(lambda: gr.update(open=False), inputs=[], outputs=[code_drawer]) 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") historyBtn.click(history_render, inputs=[history], outputs=[history_drawer, history_output]) history_drawer.close(lambda: gr.update(open=False), inputs=[], outputs=[history_drawer]) with antd.Col(span=24, md=16): with ms.Div(elem_classes="right_panel"): gr.HTML('
') with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab: with antd.Tabs.Item(key="empty"): empty = antd.Empty(description="empty input", elem_classes="right_content") with antd.Tabs.Item(key="loading"): loading = antd.Spin(True, tip="coding...", size="large", elem_classes="right_content") with antd.Tabs.Item(key="render"): sandbox = gr.HTML(elem_classes="html_content") 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': 'user', 'content': query}) stream = client.chat.completions.create( model="Qwen/Qwen2.5-Coder-32B-Instruct", messages=messages, max_tokens=500, stream=True ) for chunk in stream: content = chunk.choices[0].delta.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=True), # Ensure the drawer is open to show live updates } if __name__ == "__main__": demo.queue(default_concurrency_limit=20).launch(ssr_mode=False)