| import gradio as gr |
| import os |
| import litellm |
|
|
| DESCRIPTION = ''' |
| <div> |
| <h1 style="text-align: center;">TAIDE/Llama3-TAIDE-LX-8B-Chat-Alpha1</h1> |
| <p>This Space demonstrates the instruction-tuned model <a href="https://huggingface.co/taide/Llama3-TAIDE-LX-8B-Chat-Alpha1"><b>Llama3-TAIDE-LX-8B-Chat-Alpha1</b></a>. Llama3-TAIDE-LX-8B-Chat-Alpha1 is the new open LLM and comes in one sizes: 8b. Feel free to play with it, or duplicate to run privately!</p> |
| </div> |
| ''' |
|
|
| LICENSE = """ |
| <p/> |
| --- |
| Built with Llama3-TAIDE-LX-8B-Chat-Alpha1 |
| """ |
|
|
| css = """ |
| h1 { |
| text-align: center; |
| display: block; |
| } |
| #duplicate-button { |
| margin: auto; |
| color: white; |
| background: #1565c0; |
| border-radius: 100vh; |
| } |
| """ |
|
|
|
|
| def chat(message: str, |
| history: list, |
| temperature: float, |
| max_new_tokens: int |
| ) -> str: |
| """ |
| Generate a streaming response using the llama3-8b model. |
| """ |
| try: |
| messages = [] |
| for user, assistant in history: |
| messages.extend([{"role": "user", "content": user}, {"role": "assistant", "content": assistant}]) |
| messages.append({"role": "user", "content": message}) |
|
|
| response = litellm.completion( |
| model="openai/Llama3-TAIDE-LX-8B-Chat-Alpha1", |
| messages=messages, |
| max_completion_tokens=max_new_tokens, |
| temperature=temperature, |
| stream=True, |
|
|
| ) |
| output = [] |
| for part in response: |
| content = part.choices[0].delta.content or "" |
| output.append(content) |
| yield "".join(output) |
| except Exception as e: |
| yield f"生成過程中發生錯誤: {str(e)}" |
|
|
|
|
| |
| chatbot = gr.Chatbot(height=450, label='Gradio ChatInterface') |
|
|
| with gr.Blocks(fill_height=True, css=css) as demo: |
|
|
| gr.Markdown(DESCRIPTION) |
| gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button") |
| gr.ChatInterface( |
| fn=chat, |
| chatbot=chatbot, |
| fill_height=True, |
| additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False), |
| additional_inputs=[ |
| gr.Slider(minimum=0, |
| maximum=1, |
| step=0.1, |
| value=0.95, |
| label="Temperature", |
| render=False), |
| gr.Slider(minimum=128, |
| maximum=131584, |
| step=1, |
| value=512, |
| label="Max new tokens", |
| render=False), |
| ], |
| examples=[ |
| ['請以以下內容為基礎，寫一篇文章：撰寫一篇作文，題目為《一張舊照片》，內容要求為：選擇一張令你印象深刻的照片，說明令你印象深刻的原因，並描述照片中的影像及背後的故事。記錄成長的過程、與他人的情景、環境變遷和美麗的景色。'], |
| ['請以品牌經理的身份，給廣告公司的創意總監寫一封信，提出對於新產品廣告宣傳活動的創意建議。'], |
| ['以下提供英文內容，請幫我翻譯成中文。Dongshan coffee is famous for its unique position, and the constant refinement of production methods. The flavor is admired by many caffeine afficionados.'], |
| ], |
| cache_examples=False, |
| ) |
|
|
| gr.Markdown(LICENSE) |
|
|
| if __name__ == "__main__": |
| demo.launch(server_name='0.0.0.0') |
|
|
