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Create app.py
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app.py
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import gradio as gr
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import requests
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import os
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import json
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from elo import update_elo_ratings # Custom function for ELO ratings
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# Load the chatbot URLs and their respective model names from a JSON file
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with open('chatbot_urls.json', 'r') as file:
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chatbots = json.load(file)
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# Function to read ELO ratings from a file
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def read_elo_ratings():
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try:
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with open('elo_ratings.json', 'r') as file:
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return json.load(file)
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except FileNotFoundError:
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# Initialize ELO ratings for existing models
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return {model: 1200 for model in chatbots.keys()}
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# Function to update ELO ratings in a file
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def write_elo_ratings(elo_ratings):
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with open('elo_ratings.json', 'w') as file:
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json.dump(elo_ratings, file, indent=4)
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# Load existing ELO ratings or initialize them
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elo_ratings = read_elo_ratings()
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def chat_with_bots(user_input, bot1_url, bot2_url):
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# Function to interact with both chatbots
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def get_bot_response(url, prompt):
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payload = {
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"input": {
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"prompt": prompt,
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"sampling_params": {
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"max_new_tokens": 16,
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"temperature": 0.7,
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}
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}
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}
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headers = {
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"accept": "application/json",
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"content-type": "application/json",
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"authorization": os.environ.get("RUNPOD_TOKEN")
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}
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response = requests.post(url, json=payload, headers=headers)
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return response.json()
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bot1_response = get_bot_response(bot1_url, user_input)
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bot2_response = get_bot_response(bot2_url, user_input)
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return bot1_response, bot2_response
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def update_ratings(winner_model):
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# Update ELO ratings based on the winner
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global elo_ratings
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loser_model = set(elo_ratings.keys()) - {winner_model}
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elo_ratings = update_elo_ratings(elo_ratings, winner_model, loser_model)
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write_elo_ratings(elo_ratings)
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# Gradio Interface
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iface = gr.Interface(
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fn=chat_with_bots,
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inputs=[
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gr.inputs.Textbox(label="Your message"),
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gr.inputs.Radio(list(chatbots.values()), label="Bot 1"),
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gr.inputs.Radio(list(chatbots.values()), label="Bot 2")
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],
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outputs=[
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gr.outputs.Textbox(label="Bot 1 Response"),
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gr.outputs.Textbox(label="Bot 2 Response"),
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gr.components.Button("Vote for the Best Response", elem_id="vote_button")
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],
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live=True
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)
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iface.launch()
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