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import spaces |
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import json |
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import subprocess |
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from llama_cpp import Llama |
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from llama_cpp_agent import LlamaCppAgent, MessagesFormatterType |
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from llama_cpp_agent.providers import LlamaCppPythonProvider |
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from llama_cpp_agent.chat_history import BasicChatHistory |
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from llama_cpp_agent.chat_history.messages import Roles |
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import gradio as gr |
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from huggingface_hub import hf_hub_download |
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hf_hub_download( |
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repo_id="OEvortex/HelpingAI2-6B", |
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filename="helpingai-6b-q4_k_m.gguf", |
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local_dir="./models" |
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) |
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llm = None |
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llm_model = None |
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@spaces.GPU(duration=120) |
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def respond( |
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message, |
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history: list[tuple[str, str]], |
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model, |
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system_message, |
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max_tokens, |
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temperature, |
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top_p, |
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top_k, |
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repeat_penalty, |
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): |
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chat_template = MessagesFormatterType.LLAMA_3 |
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global llm |
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global llm_model |
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if llm is None or llm_model != model: |
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llm = Llama( |
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model_path=f"models/{model}", |
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flash_attn=True, |
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n_gpu_layers=81, |
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n_batch=1024, |
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n_ctx=8192, |
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) |
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llm_model = model |
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provider = LlamaCppPythonProvider(llm) |
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agent = LlamaCppAgent( |
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provider, |
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system_prompt=f"{system_message}", |
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predefined_messages_formatter_type=chat_template, |
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debug_output=True |
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) |
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settings = provider.get_provider_default_settings() |
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settings.temperature = temperature |
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settings.top_k = top_k |
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settings.top_p = top_p |
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settings.max_tokens = max_tokens |
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settings.repeat_penalty = repeat_penalty |
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settings.stream = True |
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messages = BasicChatHistory() |
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for msn in history: |
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user = { |
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'role': Roles.user, |
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'content': msn[0] |
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} |
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assistant = { |
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'role': Roles.assistant, |
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'content': msn[1] |
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} |
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messages.add_message(user) |
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messages.add_message(assistant) |
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stream = agent.get_chat_response( |
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message, |
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llm_sampling_settings=settings, |
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chat_history=messages, |
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returns_streaming_generator=True, |
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print_output=False |
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) |
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outputs = "" |
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for output in stream: |
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outputs += output |
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yield outputs |
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description = "🌟 HelpingAI: Emotionally Intelligent Conversational AI 🚀" |
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demo = gr.ChatInterface( |
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respond, |
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additional_inputs=[ |
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gr.Dropdown([ |
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'helpingai-6b-q4_k_m.gguf', |
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], |
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value="helpingai-6b-q4_k_m.gguf", |
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label="Model" |
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), |
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gr.Textbox(value="You are HelpingAI a emotional AI always answer my question in HelpingAI style", label="System message"), |
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gr.Slider(minimum=1, maximum=4096, value=2048, step=1, label="Max tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider( |
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minimum=0.1, |
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maximum=1.0, |
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value=0.95, |
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step=0.05, |
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label="Top-p", |
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), |
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gr.Slider( |
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minimum=0, |
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maximum=100, |
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value=40, |
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step=1, |
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label="Top-k", |
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), |
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gr.Slider( |
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minimum=0.0, |
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maximum=2.0, |
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value=1.1, |
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step=0.1, |
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label="Repetition penalty", |
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), |
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], |
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retry_btn="Retry", |
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undo_btn="Undo", |
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clear_btn="Clear", |
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submit_btn="Send", |
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title="Chat with HelpingAI using llama.cpp", |
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description=description, |
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chatbot=gr.Chatbot( |
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scale=1, |
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likeable=False, |
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show_copy_button=True |
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) |
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) |
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if __name__ == "__main__": |
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demo.launch() |
