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on
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Running
on
Zero
import os | |
import threading | |
import time | |
import subprocess | |
OLLAMA = os.path.expanduser("~/ollama") | |
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(): | |
subprocess.run("~/ollama serve", shell=True) | |
OLLAMA_SERVICE_THREAD = threading.Thread(target=ollama_service_thread) | |
OLLAMA_SERVICE_THREAD.start() | |
print("Giving ollama serve a moment") | |
time.sleep(10) | |
import copy | |
import gradio as gr | |
import spaces | |
from llama_index.llms.ollama import Ollama | |
import llama_index | |
from llama_index.core.llms import ChatMessage | |
HF_TOKEN = os.environ.get("HF_TOKEN", None) | |
MODEL_ID = "google/gemma-2-27b-it" | |
MODEL_NAME = MODEL_ID.split("/")[-1] | |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1" | |
llm = Ollama(model="gemma2", request_timeout=60.0) | |
def run_ollama(): | |
subprocess.run("~/ollama pull gemma2", shell=True) | |
TITLE = "<h1><center>Chatbox</center></h1>" | |
DESCRIPTION = f""" | |
<h3>MODEL: <a href="https://hf.co/{MODEL_ID}">{MODEL_NAME}</a></h3> | |
<center> | |
<p>Gemma is the large language model built by Google. | |
<br> | |
Feel free to test without log. | |
</p> | |
</center> | |
""" | |
CSS = """ | |
.duplicate-button { | |
margin: auto !important; | |
color: white !important; | |
background: black !important; | |
border-radius: 100vh !important; | |
} | |
h3 { | |
text-align: center; | |
} | |
""" | |
def stream_chat(message: str, history: list, temperature: float, context_window: int, top_p: float, top_k: int, penalty: float): | |
print(f'message is - {message}') | |
print(f'history is - {history}') | |
conversation = [] | |
for prompt, answer in history: | |
conversation.extend([ | |
ChatMessage( | |
role="user", content=prompt | |
), | |
ChatMessage(role="assistant", content=answer), | |
]) | |
messages = [ChatMessage(role="user", content=message)] | |
print(f"Conversation is -\n{conversation}") | |
resp = llm.chat( | |
messages = messages, | |
chat_history = conversation, | |
top_p=top_p, | |
top_k=top_k, | |
repeat_penalty=penalty, | |
context_window=context_window, | |
) | |
return resp | |
chatbot = gr.Chatbot(height=600) | |
with gr.Blocks(css=CSS, theme="soft") as demo: | |
gr.HTML(TITLE) | |
gr.HTML(DESCRIPTION) | |
gr.DuplicateButton(value="Duplicate Space for private use", elem_classes="duplicate-button") | |
gr.ChatInterface( | |
fn=stream_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=0.8, | |
label="Temperature", | |
render=False, | |
), | |
gr.Slider( | |
minimum=128, | |
maximum=2048, | |
step=1, | |
value=1024, | |
label="Context window", | |
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() | |