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Running
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Running
on
Zero
| import os | |
| import signal | |
| import threading | |
| import time | |
| import subprocess | |
| import spaces | |
| import asyncio | |
| OLLAMA = os.path.expanduser("~/ollama") | |
| process = None | |
| OLLAMA_SERVICE_THREAD = None | |
| if not os.path.exists(OLLAMA): | |
| subprocess.run("curl -L https://ollama.com/download/ollama-linux-amd64 -o ~/ollama", shell=True) | |
| os.chmod(OLLAMA, 0o755) | |
| def ollama_service_thread(): | |
| global process | |
| process = subprocess.Popen("~/ollama serve", shell=True, preexec_fn=os.setsid) | |
| process.wait() | |
| def terminate(): | |
| global process, OLLAMA_SERVICE_THREAD | |
| if process: | |
| os.killpg(os.getpgid(process.pid), signal.SIGTERM) | |
| if OLLAMA_SERVICE_THREAD: | |
| OLLAMA_SERVICE_THREAD.join() | |
| process = None | |
| OLLAMA_SERVICE_THREAD = None | |
| print("Ollama service stopped.") | |
| # Uncomment and modify the model to what you want locally | |
| # model = "moondream" | |
| # model = os.environ.get("MODEL") | |
| # subprocess.run(f"~/ollama pull {model}", shell=True) | |
| import ollama | |
| import gradio as gr | |
| from ollama import AsyncClient | |
| client = AsyncClient(host='http://localhost:11434', timeout=120) | |
| HF_TOKEN = os.environ.get("HF_TOKEN", None) | |
| TITLE = "<h1><center>ollama-Chat</center></h1>" | |
| DESCRIPTION = f""" | |
| <center> | |
| <p>Feel free to test models with ollama. | |
| <br> | |
| Input <em>/pull model_name</em> to pull model. | |
| </p> | |
| </center> | |
| """ | |
| CSS = """ | |
| .duplicate-button { | |
| margin: auto !important; | |
| color: white !important; | |
| background: black !important; | |
| border-radius: 100vh !important; | |
| } | |
| h3 { | |
| text-align: center; | |
| } | |
| """ | |
| INIT_SIGN = "" | |
| def init(): | |
| global OLLAMA_SERVICE_THREAD | |
| OLLAMA_SERVICE_THREAD = threading.Thread(target=ollama_service_thread) | |
| OLLAMA_SERVICE_THREAD.start() | |
| print("Giving ollama serve a moment") | |
| time.sleep(10) | |
| global INIT_SIGN | |
| INIT_SIGN = "FINISHED" | |
| def ollama_func(command): | |
| if " " in command: | |
| c1, c2 = command.split(" ") | |
| else: | |
| c1 = command | |
| c2 = "" | |
| function_map = { | |
| "/init": init, | |
| "/pull": lambda: ollama.pull(c2), | |
| "/list": ollama.list, | |
| "/bye": terminate, | |
| } | |
| if c1 in function_map: | |
| function_map.get(c1)() | |
| return "Running..." | |
| else: | |
| return "No supported command." | |
| def launch(): | |
| global OLLAMA_SERVICE_THREAD | |
| OLLAMA_SERVICE_THREAD = threading.Thread(target=ollama_service_thread) | |
| OLLAMA_SERVICE_THREAD.start() | |
| print("Giving ollama serve a moment") | |
| time.sleep(10) | |
| async def stream_chat(message: str, history: list, model: str, temperature: float, max_new_tokens: int, top_p: float, top_k: int, penalty: float): | |
| if not process: | |
| launch() | |
| print(f"message: {message}") | |
| conversation = [] | |
| for prompt, answer in history: | |
| conversation.extend([ | |
| {"role": "user", "content": prompt}, | |
| {"role": "assistant", "content": answer}, | |
| ]) | |
| conversation.append({"role": "user", "content": message}) | |
| print(f"Conversation is -\n{conversation}") | |
| async for part in await client.chat( | |
| model=model, | |
| stream=True, | |
| messages=conversation, | |
| keep_alive="60s", | |
| options={ | |
| 'num_predict': max_new_tokens, | |
| 'temperature': temperature, | |
| 'top_p': top_p, | |
| 'top_k': top_k, | |
| 'repeat_penalty': penalty, | |
| 'low_vram': True, | |
| }, | |
| ): | |
| yield part['message']['content'] | |
| async def main(message: str, history: list, model: str, temperature: float, max_new_tokens: int, top_p: float, top_k: int, penalty: float): | |
| if message.startswith("/"): | |
| resp = ollama_func(message) | |
| yield resp | |
| else: | |
| if not INIT_SIGN: | |
| yield "Please initialize Ollama" | |
| else: | |
| async for response in stream_chat( | |
| message, | |
| history, | |
| model, | |
| temperature, | |
| max_new_tokens, | |
| top_p, | |
| top_k, | |
| penalty | |
| ): | |
| yield response | |
| chatbot = gr.Chatbot(height=600, placeholder=DESCRIPTION) | |
| with gr.Blocks(css=CSS, theme="soft") as demo: | |
| gr.HTML(TITLE) | |
| gr.DuplicateButton(value="Duplicate Space for private use", elem_classes="duplicate-button") | |
| gr.ChatInterface( | |
| fn=main, | |
| chatbot=chatbot, | |
| fill_height=True, | |
| additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False), | |
| additional_inputs=[ | |
| gr.Textbox( | |
| value="qwen2:0.5b", | |
| label="Model", | |
| render=False, | |
| ), | |
| gr.Slider( | |
| minimum=0, | |
| maximum=1, | |
| step=0.1, | |
| value=0.8, | |
| label="Temperature", | |
| render=False, | |
| ), | |
| gr.Slider( | |
| minimum=128, | |
| maximum=2048, | |
| step=1, | |
| value=1024, | |
| label="Max New Tokens", | |
| render=False, | |
| ), | |
| gr.Slider( | |
| minimum=0.0, | |
| maximum=1.0, | |
| step=0.1, | |
| value=0.8, | |
| label="top_p", | |
| render=False, | |
| ), | |
| gr.Slider( | |
| minimum=1, | |
| maximum=20, | |
| step=1, | |
| value=20, | |
| label="top_k", | |
| render=False, | |
| ), | |
| gr.Slider( | |
| minimum=0.0, | |
| maximum=2.0, | |
| step=0.1, | |
| value=1.0, | |
| label="Repetition penalty", | |
| render=False, | |
| ), | |
| ], | |
| examples=[ | |
| ["Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option."], | |
| ["What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter."], | |
| ["Tell me a random fun fact about the Roman Empire."], | |
| ["Show me a code snippet of a website's sticky header in CSS and JavaScript."], | |
| ], | |
| cache_examples=False, | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |