app.py

import gradio as gr
import requests
import os
import json
import random
from elo import update_elo_ratings  # Custom function for ELO ratings
enable_btn = gr.Button.update(interactive=True)

# 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

# Initialize or get user-specific ELO ratings
def get_user_elo_ratings(state):
    return state['elo_ratings']

# Read ELO ratings from file (thread-safe)
def read_elo_ratings():
    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 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": 50,
                "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()['output'][0]['generated_text'].replace(prompt,"")

def chat_with_bots(user_input, state):
    bot_names = list(chatbots.keys())
    random.shuffle(bot_names)
    bot1_url, bot2_url = chatbots[bot_names[0]], chatbots[bot_names[1]]
    
    # Update the state with the names of the last bots
    state.update({'last_bots': [bot_names[0], 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 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
def user_ask(state, chatbot1, chatbot2, textbox,upvote_btn_a,upvote_btn_b):
    global enable_btn
    state.update({"elo_ratings":read_elo_ratings()})
    user_input = textbox
    bot1_response, bot2_response = chat_with_bots(user_input, state)

    chatbot1.append((user_input,bot1_response))

    chatbot2.append((user_input, bot2_response))

    # Enable voting buttons

    updated_elo_ratings = get_user_elo_ratings(state)
    state.update({'elo_ratings': updated_elo_ratings})
    return state, chatbot1, chatbot2,textbox, enable_btn,enable_btn

# ... [Rest of your existing functions] ...


with gr.Blocks() as demo:
    state = gr.State({})
    with gr.Row():
        # First column for Model A
        with gr.Column():
            chatbot1 = gr.Chatbot(label='Model A')style(height=600)
            upvote_btn_a = gr.Button(value="👍 Upvote A", interactive=False)
        
        # Second column for Model B
        with gr.Column():
            chatbot2 = gr.Chatbot(label='Model B')style(height=600)
            upvote_btn_b = gr.Button(value="👍 Upvote B", interactive=False)        

    # Textbox and submit button at the bottom
    textbox = gr.Textbox(placeholder="Enter your prompt and press ENTER")
    submit_btn = gr.Button(value="Send")

    # Interaction logic
    textbox.submit(user_ask, inputs=[state, chatbot1, chatbot2, textbox], outputs=[state, chatbot1, chatbot2,textbox,upvote_btn_a,upvote_btn_b])
    submit_btn.click(user_ask, inputs=[state, chatbot1, chatbot2, textbox], outputs=[state, chatbot1, chatbot2,textbox,upvote_btn_a,upvote_btn_b])
    upvote_btn_a.click(vote_up_model, inputs=[state, chatbot1], outputs=[chatbot1])
    upvote_btn_b.click(vote_up_model, inputs=[state, chatbot2], outputs=[chatbot2])

    # Start the interface
    demo.launch()