Update app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 import torch
 from transformers import pipeline, BitsAndBytesConfig, AutoModelForCausalLM, AutoTokenizer
 
-MODEL_ID = "marcelbinz/Llama-3.1-Minitaur-8B"
+MODEL_ID = "unsloth/Meta-Llama-3.1-70B-bnb-4bit"
 
 bnb_4bit_config = BitsAndBytesConfig(
     load_in_4bit=True,
@@ -32,16 +32,10 @@ def infer(prompt):
     return pipe(prompt, max_new_tokens=1, do_sample=True, temperature=1.0, return_full_text=False)[0]["generated_text"]
 
 default_experiment = """You will take part in a Social Prediction Game.
-You will observe a Player playing against an Opponent in different games.
-In each game, the Player and the Opponent simultaneously choose between option J and option Z.
-The Player and the Opponent win points based on their choices.
-The rules change between games, and you will be informed about them before each game.
-The Player varies between blocks but is consistent across games within a block.
-The Opponent switches in each game.
+You will observe a Player playing against an Opponent.
+The Player and the Opponent simultaneously choose between option J and option Z.
+Both parties win points based on their choices.
 Your task is to predict the choices made by the Player.
-You get feedback after each game on whether your prediction was correct or not.
-
-Block 1 starts now.
 
 The rules of the game are as follows:
 If Player chooses option J and Opponent chooses option J, then Player wins 10 points and Opponent wins 10 points.