Spaces:
Running
on
Zero
Running
on
Zero
import os | |
import spaces | |
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) | |
subprocess.run("~/ollama pull gemma2", shell=True) | |
import copy | |
import gradio as gr | |
from ollama import Client | |
client = Client(host='http://localhost:11434', timeout=60) | |
HF_TOKEN = os.environ.get("HF_TOKEN", None) | |
MODEL_ID = os.environ.get("MODEL_ID", "google/gemma-2-9b-it") | |
MODEL_NAME = MODEL_ID.split("/")[-1] | |
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, max_new_tokens: 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([ | |
{"role": "user", "content": prompt}, | |
{"role": "assistant", "content": answer}, | |
]) | |
conversation.append({"role": "user", "content": message}) | |
print(f"Conversation is -\n{conversation}") | |
response = client.chat( | |
model="gemma2", | |
messages=conversation, | |
stream=True, | |
options={ | |
'num_predict': max_new_tokens, | |
'temperature': temperature, | |
'top_p': top_p, | |
'top_k': top_k, | |
'repeat_penalty': penalty, | |
}, | |
) | |
buffer = "" | |
for chunk in response: | |
buffer += chunk["message"]["content"] | |
yield buffer | |
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="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() | |