Lumpen1/llama-cpp-agent
7
1import spaces2import json3import subprocess4from llama_cpp import Llama5from llama_cpp_agent import LlamaCppAgent, MessagesFormatterType6from llama_cpp_agent.providers import LlamaCppPythonProvider7from llama_cpp_agent.chat_history import BasicChatHistory8from llama_cpp_agent.chat_history.messages import Roles9import gradio as gr10from huggingface_hub import hf_hub_download11 12hf_hub_download(13 repo_id="bartowski/Meta-Llama-3-70B-Instruct-GGUF",14 filename="Meta-Llama-3-70B-Instruct-Q3_K_M.gguf",15 local_dir = "./models"16)17hf_hub_download(18 repo_id="bartowski/Mistral-7B-Instruct-v0.3-GGUF",19 filename="Mistral-7B-Instruct-v0.3-f32.gguf",20 local_dir = "./models"21)22 23css = """24.message-row {25 justify-content: space-evenly !important;26}27.message-bubble-border {28 border-radius: 6px !important;29}30.dark.message-bubble-border {31 border-color: #343140 !important;32}33.dark.user {34 background: #1e1c26 !important;35}36.dark.assistant.dark, .dark.pending.dark {37 background: #16141c !important;38}39"""40 41def get_messages_formatter_type(model_name):42 if "Llama" in model_name:43 return MessagesFormatterType.LLAMA_344 elif "Mistral" in model_name:45 return MessagesFormatterType.MISTRAL46 else:47 raise ValueError(f"Unsupported model: {model_name}")48 49@spaces.GPU(duration=120)50def respond(51 message,52 history: list[tuple[str, str]],53 model,54 system_message,55 max_tokens,56 temperature,57 top_p,58 top_k,59 repeat_penalty,60):61 chat_template = get_messages_formatter_type(model)62 63 llm = Llama(64 model_path=f"models/{model}",65 flash_attn=True,66 n_threads=40,67 n_gpu_layers=81,68 n_batch=1024,69 n_ctx=8192,70 )71 provider = LlamaCppPythonProvider(llm)72 73 agent = LlamaCppAgent(74 provider,75 system_prompt=f"{system_message}",76 predefined_messages_formatter_type=chat_template,77 debug_output=True78 )79 80 settings = provider.get_provider_default_settings()81 settings.temperature = temperature82 settings.top_k = top_k83 settings.top_p = top_p84 settings.max_tokens = max_tokens85 settings.repeat_penalty = repeat_penalty86 settings.stream = True87 88 messages = BasicChatHistory()89 90 for msn in history:91 user = {92 'role': Roles.user,93 'content': msn[0]94 }95 assistant = {96 'role': Roles.assistant,97 'content': msn[1]98 }99 messages.add_message(user)100 messages.add_message(assistant)101 102 stream = agent.get_chat_response(103 message,104 llm_sampling_settings=settings,105 chat_history=messages,106 returns_streaming_generator=True,107 print_output=False108 )109 110 outputs = ""111 for output in stream:112 outputs += output113 yield outputs114 115PLACEHOLDER = """116<div class="message-bubble-border" style="display:flex; max-width: 600px; border-radius: 6px; border-width: 1px; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); backdrop-filter: blur(10px);">117 <figure style="margin: 0;">118 <img src="https://huggingface.co/spaces/pabloce/llama-cpp-agent/resolve/main/llama.jpg" alt="Logo" style="width: 100%; height: 100%; border-radius: 8px;">119 </figure>120 <div style="padding: .5rem 1.5rem;">121 <h2 style="text-align: left; font-size: 1.5rem; font-weight: 700; margin-bottom: 0.5rem;">llama-cpp-agent</h2>122 <p style="text-align: left; font-size: 16px; line-height: 1.5; margin-bottom: 15px;">The llama-cpp-agent framework simplifies interactions with Large Language Models (LLMs), providing an interface for chatting, executing function calls, generating structured output, performing retrieval augmented generation, and processing text using agentic chains with tools.</p>123 <div style="display: flex; justify-content: space-between; align-items: center;">124 <div style="display: flex; flex-flow: column; justify-content: space-between;">125 <span style="display: inline-flex; align-items: center; border-radius: 0.375rem; background-color: rgba(229, 70, 77, 0.1); padding: 0.1rem 0.75rem; font-size: 0.75rem; font-weight: 500; color: #f88181; margin-bottom: 2.5px;">126 Mistral 7B Instruct v0.3127 </span>128 <span style="display: inline-flex; align-items: center; border-radius: 0.375rem; background-color: rgba(79, 70, 229, 0.1); padding: 0.1rem 0.75rem; font-size: 0.75rem; font-weight: 500; color: #60a5fa; margin-top: 2.5px;">129 Meta Llama 3 70B Instruct130 </span>131 </div>132 <div style="display: flex; justify-content: flex-end; align-items: center;">133 <a href="https://discord.gg/fgr5RycPFP" target="_blank" rel="noreferrer" style="padding: .5rem;">134 <svg width="24" height="24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" viewBox="0 5 30.67 23.25">135 <title>Discord</title>136 <path d="M26.0015 6.9529C24.0021 6.03845 21.8787 5.37198 19.6623 5C19.3833 5.48048 19.0733 6.13144 18.8563 6.64292C16.4989 6.30193 14.1585 6.30193 11.8336 6.64292C11.6166 6.13144 11.2911 5.48048 11.0276 5C8.79575 5.37198 6.67235 6.03845 4.6869 6.9529C0.672601 12.8736 -0.41235 18.6548 0.130124 24.3585C2.79599 26.2959 5.36889 27.4739 7.89682 28.2489C8.51679 27.4119 9.07477 26.5129 9.55525 25.5675C8.64079 25.2265 7.77283 24.808 6.93587 24.312C7.15286 24.1571 7.36986 23.9866 7.57135 23.8161C12.6241 26.1255 18.0969 26.1255 23.0876 23.8161C23.3046 23.9866 23.5061 24.1571 23.7231 24.312C22.8861 24.808 22.0182 25.2265 21.1037 25.5675C21.5842 26.5129 22.1422 27.4119 22.7621 28.2489C25.2885 27.4739 27.8769 26.2959 30.5288 24.3585C31.1952 17.7559 29.4733 12.0212 26.0015 6.9529ZM10.2527 20.8402C8.73376 20.8402 7.49382 19.4608 7.49382 17.7714C7.49382 16.082 8.70276 14.7025 10.2527 14.7025C11.7871 14.7025 13.0425 16.082 13.0115 17.7714C13.0115 19.4608 11.7871 20.8402 10.2527 20.8402ZM20.4373 20.8402C18.9183 20.8402 17.6768 19.4608 17.6768 17.7714C17.6768 16.082 18.8873 14.7025 20.4373 14.7025C21.9717 14.7025 23.2271 16.082 23.1961 17.7714C23.1961 19.4608 21.9872 20.8402 20.4373 20.8402Z"></path>137 </svg>138 </a>139 <a href="https://github.com/Maximilian-Winter/llama-cpp-agent" target="_blank" rel="noreferrer" style="padding: .5rem;">140 <svg width="24" height="24" fill="currentColor" viewBox="3 3 18 18">141 <title>GitHub</title>142 <path d="M12 3C7.0275 3 3 7.12937 3 12.2276C3 16.3109 5.57625 19.7597 9.15374 20.9824C9.60374 21.0631 9.77249 20.7863 9.77249 20.5441C9.77249 20.3249 9.76125 19.5982 9.76125 18.8254C7.5 19.2522 6.915 18.2602 6.735 17.7412C6.63375 17.4759 6.19499 16.6569 5.8125 16.4378C5.4975 16.2647 5.0475 15.838 5.80124 15.8264C6.51 15.8149 7.01625 16.4954 7.18499 16.7723C7.99499 18.1679 9.28875 17.7758 9.80625 17.5335C9.885 16.9337 10.1212 16.53 10.38 16.2993C8.3775 16.0687 6.285 15.2728 6.285 11.7432C6.285 10.7397 6.63375 9.9092 7.20749 9.26326C7.1175 9.03257 6.8025 8.08674 7.2975 6.81794C7.2975 6.81794 8.05125 6.57571 9.77249 7.76377C10.4925 7.55615 11.2575 7.45234 12.0225 7.45234C12.7875 7.45234 13.5525 7.55615 14.2725 7.76377C15.9937 6.56418 16.7475 6.81794 16.7475 6.81794C17.2424 8.08674 16.9275 9.03257 16.8375 9.26326C17.4113 9.9092 17.76 10.7281 17.76 11.7432C17.76 15.2843 15.6563 16.0687 13.6537 16.2993C13.98 16.5877 14.2613 17.1414 14.2613 18.0065C14.2613 19.2407 14.25 20.2326 14.25 20.5441C14.25 20.7863 14.4188 21.0746 14.8688 20.9824C16.6554 20.364 18.2079 19.1866 19.3078 17.6162C20.4077 16.0457 20.9995 14.1611 21 12.2276C21 7.12937 16.9725 3 12 3Z"></path>143 </svg>144 </a>145 </div>146 </div>147 </div>148</div>149"""150 151demo = gr.ChatInterface(152 respond,153 additional_inputs=[154 gr.Dropdown([155 'Meta-Llama-3-70B-Instruct-Q3_K_M.gguf',156 'Mistral-7B-Instruct-v0.3-f32.gguf'157 ],158 value="Meta-Llama-3-70B-Instruct-Q3_K_M.gguf",159 label="Model"160 ),161 gr.Textbox(value="You are a helpful assistant.", label="System message"),162 gr.Slider(minimum=1, maximum=4096, value=2048, step=1, label="Max tokens"),163 gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),164 gr.Slider(165 minimum=0.1,166 maximum=1.0,167 value=0.95,168 step=0.05,169 label="Top-p",170 ),171 gr.Slider(172 minimum=0,173 maximum=100,174 value=40,175 step=1,176 label="Top-k",177 ),178 gr.Slider(179 minimum=0.0,180 maximum=2.0,181 value=1.1,182 step=0.1,183 label="Repetition penalty",184 ),185 ],186 theme=gr.themes.Soft(primary_hue="violet", secondary_hue="violet", neutral_hue="gray",font=[gr.themes.GoogleFont("Exo"), "ui-sans-serif", "system-ui", "sans-serif"]).set(187 body_background_fill_dark="#16141c",188 block_background_fill_dark="#16141c",189 block_border_width="1px",190 block_title_background_fill_dark="#1e1c26",191 input_background_fill_dark="#292733",192 button_secondary_background_fill_dark="#24212b",193 border_color_primary_dark="#343140",194 background_fill_secondary_dark="#16141c",195 color_accent_soft_dark="transparent"196 ),197 css=css,198 retry_btn="Retry",199 undo_btn="Undo",200 clear_btn="Clear",201 submit_btn="Send",202 description="Llama-cpp-agent: Chat multi llm selection",203 chatbot=gr.Chatbot(scale=1, placeholder=PLACEHOLDER)204)205 206if __name__ == "__main__":207 demo.launch()