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)
subprocess.run("~/ollama pull gemma2", shell=True)
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"
@spaces.GPU()
def gemma2():
    return Ollama(model="gemma2:27b", request_timeout=30.0)
TITLE = "
Chatbox
"
DESCRIPTION = f"""
Gemma is the large language model built by Google.
Feel free to test without log.
"""
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}")
    llm = gemma2()
    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()