app.py

import gradio as gr
import requests
import os
import json
import random
import threading
from elo import update_elo_ratings  # Custom function for ELO ratings

# Load the chatbot URLs and their respective model names from a JSON file
with open('chatbot_urls.json', 'r') as file:
    chatbots = json.load(file)

# Thread-local storage for user-specific data
user_data = threading.local()

# Initialize or get user-specific ELO ratings
def get_user_elo_ratings():
    if not hasattr(user_data, 'elo_ratings'):
        user_data.elo_ratings = read_elo_ratings()
    return user_data.elo_ratings

# Read ELO ratings from file (thread-safe)
def read_elo_ratings():
    elo_ratings = {}
    with threading.Lock():
        try:
            with open('elo_ratings.json', 'r') as file:
                elo_ratings = json.load(file)
        except FileNotFoundError:
            elo_ratings = {model: 1200 for model in chatbots.keys()}
    return elo_ratings

# Write ELO ratings to file (thread-safe)
def write_elo_ratings(elo_ratings):
    with threading.Lock():
        with open('elo_ratings.json', 'w') as file:
            json.dump(elo_ratings, file, indent=4)

def get_bot_response(url, prompt):
    payload = {
        "input": {
            "prompt": prompt,
            "sampling_params": {
                "max_new_tokens": 16,
                "temperature": 0.7,
            }
        }
    }
    headers = {
        "accept": "application/json",
        "content-type": "application/json",
        "authorization": os.environ.get("RUNPOD_TOKEN")
    }
    response = requests.post(url, json=payload, headers=headers)
    return response.json()

def chat_with_bots(user_input):
    bot_names = list(chatbots.keys())
    random.shuffle(bot_names)
    bot1_url, bot2_url = chatbots[bot_names[0]], chatbots[bot_names[1]]

    bot1_response = get_bot_response(bot1_url, user_input)
    bot2_response = get_bot_response(bot2_url, user_input)

    return bot1_response, bot2_response

def user_ask(state, chatbot, textbox):
    user_input = textbox.value
    bot1_response, bot2_response = chat_with_bots(user_input)
    chatbot.append("User: " + user_input)
    chatbot.append("Bot 1: " + bot1_response['output'])
    chatbot.append("Bot 2: " + bot2_response['output'])
    state['last_bots'] = [bot1_response['model_name'], bot2_response['model_name']]
    return state, chatbot, ""

def update_ratings(state, winner_index):
    elo_ratings = get_user_elo_ratings()
    bot_names = list(chatbots.keys())
    winner = state['last_bots'][winner_index]
    loser = state['last_bots'][1 - winner_index]
    
    elo_ratings = update_elo_ratings(elo_ratings, winner, loser)
    write_elo_ratings(elo_ratings)
    return f"Updated ELO ratings:\n{winner}: {elo_ratings[winner]}\n{loser}: {elo_ratings[loser]}"

def vote_up_model(state, chatbot):
    update_message = update_ratings(state, 0)
    chatbot.append(update_message)
    return chatbot

def vote_down_model(state, chatbot):
    update_message = update_ratings(state, 1)
    chatbot.append(update_message)
    return chatbot

with gr.Blocks() as demo:
    state = gr.State({})

    with gr.Row():
        with gr.Column(scale=0.5):
            chatbot = gr.Chatbot(label='ChatBox')
            with gr.Row():
                textbox = gr.Textbox(placeholder="Enter text and press ENTER")
                submit_btn = gr.Button(value="Submit")
        with gr.Column():
            upvote_btn = gr.Button(value="👍 Upvote Bot 1")
            downvote_btn = gr.Button(value="👎 Upvote Bot 2")
            clear_btn = gr.Button(value="🗑️ Clear Chat")

    textbox.submit(user_ask, [state, chatbot, textbox], [state, chatbot, textbox])
    submit_btn.click(user_ask, [state, chatbot, textbox], [state, chatbot, textbox])
    upvote_btn.click(vote_up_model, [state, chatbot], [chatbot])
    downvote_btn.click(vote_down_model, [state, chatbot], [chatbot])
    clear_btn.click(lambda _: chatbot.clear(), inputs=[], outputs=[chatbot])
demo.enable_queue()
demo.launch(share=True, server_name='0.0.0.0', server_port=7860)