app.py

import gradio as gr 
from openai import OpenAI
import os
from typing import List
import logging

# add logging info to console 
logging.basicConfig(level=logging.INFO)


BASE_URL = "https://api.together.xyz/v1"
DEFAULT_API_KEY = os.getenv("TOGETHER_API_KEY") 
import urllib.request
URIAL_VERSION = "inst_1k_v4.help"

urial_url = f"https://raw.githubusercontent.com/Re-Align/URIAL/main/urial_prompts/{URIAL_VERSION}.txt"
urial_prompt = urllib.request.urlopen(urial_url).read().decode('utf-8')
urial_prompt = urial_prompt.replace("```", '"""')
stop_str = ['"""', '# Query:', '# Answer:']

def urial_template(urial_prompt, history, message):
    current_prompt = urial_prompt + "\n"
    for user_msg, ai_msg in history:
        current_prompt += f'# Query:\n"""\n{user_msg}\n"""\n\n# Answer:\n"""\n{ai_msg}\n"""\n\n'
    current_prompt += f'# Query:\n"""\n{message}\n"""\n\n# Answer:\n"""\n'
    return current_prompt
    



def openai_base_request(
    model: str=None, 
    temperature: float=0,
    max_tokens: int=512,
    top_p: float=1.0, 
    prompt: str=None,
    n: int=1, 
    repetition_penalty: float=1.0,
    stop: List[str]=None, 
    api_key: str=None,
    ):  
    if api_key is None:
        api_key = DEFAULT_API_KEY
    client = OpenAI(api_key=api_key, base_url=BASE_URL)
    # print(f"Requesting chat completion from OpenAI API with model {model}")
    logging.info(f"Requesting chat completion from OpenAI API with model {model}")
    logging.info(f"Prompt: {prompt}")
    logging.info(f"Temperature: {temperature}")
    logging.info(f"Max tokens: {max_tokens}")
    logging.info(f"Top-p: {top_p}")
    logging.info(f"Repetition penalty: {repetition_penalty}")
    logging.info(f"Stop: {stop}")

    request = client.completions.create(
        model=model, 
        prompt=prompt,
        temperature=float(temperature),
        max_tokens=int(max_tokens),
        top_p=float(top_p),
        n=n,
        extra_body={'repetition_penalty': float(repetition_penalty)},
        stop=stop, 
        stream=True
    ) 
    
    return request 




def respond(
    message,
    history: list[tuple[str, str]],
    max_tokens,
    temperature,
    top_p,
    rp,
    model_name,
    together_api_key
):  
    global stop_str, urial_prompt
    rp = 1.0
    prompt = urial_template(urial_prompt, history, message)
    if model_name == "Llama-3-8B":
        _model_name = "meta-llama/Llama-3-8b-hf"
    elif model_name == "Llama-3-70B":
        _model_name = "meta-llama/Llama-3-70b-hf"
    elif model_name == "Llama-2-7B":
        _model_name = "meta-llama/Llama-2-7b-hf"
    elif model_name == "Llama-2-70B":
        _model_name = "meta-llama/Llama-2-70b-hf"
    elif model_name == "Mistral-7B-v0.1":
        _model_name = "mistralai/Mistral-7B-v0.1"
    elif model_name == "Mixtral-8x22B":
        _model_name = "mistralai/Mixtral-8x22B"
    elif model_name == "Qwen1.5-72B":
        _model_name = "Qwen/Qwen1.5-72B"
    elif model_name == "Yi-34B":
        _model_name = "zero-one-ai/Yi-34B"
    elif model_name == "Yi-6B":
        _model_name = "zero-one-ai/Yi-6B"
    elif model_name == "OLMO":
        _model_name = "allenai/OLMo-7B"
    else:
        raise ValueError("Invalid model name")
    # _model_name = "meta-llama/Llama-3-8b-hf"

    if together_api_key and len(together_api_key) == 64:
        api_key = together_api_key
    else:
        api_key = DEFAULT_API_KEY

    request = openai_base_request(prompt=prompt, model=_model_name, 
                                   temperature=temperature, 
                                   max_tokens=max_tokens, 
                                   top_p=top_p, 
                                   repetition_penalty=rp,
                                   stop=stop_str, api_key=api_key)  
    
    response = ""
    for msg in request:
        # print(msg.choices[0].delta.keys())
        token = msg.choices[0].delta["content"]
        should_stop = False
        for _stop in stop_str:
            if _stop in response + token:
                should_stop = True
                break
        if should_stop:
            break
        response += token
        if response.endswith('\n"'):
            response = response[:-1]
        elif response.endswith('\n""'):
            response = response[:-2]
        yield response
 
js_code_label = """
function addApiKeyLink() {
    // Select the div with id 'api_key'
    const apiKeyDiv = document.getElementById('api_key');

    // Find the span within that div with data-testid 'block-info'
    const blockInfoSpan = apiKeyDiv.querySelector('span[data-testid="block-info"]');

    // Create the new link element
    const newLink = document.createElement('a');
    newLink.href = 'https://api.together.ai/settings/api-keys';
    newLink.textContent = ' View your keys here.';
    newLink.target = '_blank'; // Open link in new tab
    newLink.style = 'color: #007bff; text-decoration: underline;';

    // Create the additional text
    const additionalText = document.createTextNode(' (new account will have free credits to use.)');

    // Append the link and additional text to the span
    if (blockInfoSpan) {
        // add a br 
        apiKeyDiv.appendChild(document.createElement('br'));
        apiKeyDiv.appendChild(newLink);
        apiKeyDiv.appendChild(additionalText);
    } else {
        console.error('Span with data-testid "block-info" not found');
    }
}
"""
with gr.Blocks(gr.themes.Soft(), js=js_code_label) as demo:
    with gr.Row():
        with gr.Column():
            gr.Markdown("""# 💬 BaseChat: Chat with Base LLMs with URIAL
                        [Paper](https://arxiv.org/abs/2312.01552) | [Website](https://allenai.github.io/re-align/) | [GitHub](https://github.com/Re-Align/urial) | Contact: [Yuchen Lin](https://yuchenlin.xyz/)

                        **Talk with __BASE__ LLMs which are not fine-tuned at all.**
                        """)
            model_name = gr.Radio(["Llama-3-8B", "Llama-3-70B", "Mistral-7B-v0.1", 
                                   "Mixtral-8x22B", "Yi-6B", "Yi-34B", "Llama-2-7B", "Llama-2-70B", "OLMO"]
                                  , value="Llama-3-8B", label="Base LLM name")
        with gr.Column():
            together_api_key = gr.Textbox(label="🔑 Together APIKey", placeholder="Enter your Together API Key. Leave it blank if you want to use the default API key.", type="password", elem_id="api_key")
            with gr.Column():
                with gr.Row():
                    max_tokens = gr.Textbox(value=256, label="Max tokens")
                    temperature = gr.Textbox(value=0.5, label="Temperature")
            # with gr.Column():
            #     with gr.Row():
                    top_p = gr.Textbox(value=0.9, label="Top-p")
                    rp = gr.Textbox(value=1.1, label="Repetition penalty")
            

    chat = gr.ChatInterface(
        respond,
        additional_inputs=[max_tokens, temperature, top_p, rp, model_name, together_api_key],
        # additional_inputs_accordion="⚙️ Parameters",
        # fill_height=True, 
    )
    chat.chatbot.height = 550

    


if __name__ == "__main__":
    demo.launch()