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samadarshini/dual-agent-simulation

sourceHugging Faceupdated 1y agoView on Hugging Face
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helper.py37 linesDownload Raw Back to utils
1import streamlit as st2import os3import pandas as pd4from together import Together5 6 7client = Together(api_key=os.environ["TOGETHER_API_KEY"])8 9 10def call_llama(prompt: str) -> str:11    """12        Send a prompt to the Llama model and return the response.13        Args:14            prompt (str): The input prompt to send to the Llama model.15        Returns:16            str: The response from the Llama model.17    """18 19    # Create a completion request with the prompt20    response = client.chat.completions.create(21 22        # Use the Llama-3-8b-chat-hf model23        model="meta-llama/Llama-3-8b-chat-hf",24 25        # Define the prompt as a user message26        messages=[27            {28                "role": "user",29                "content": prompt  # Use the input prompt30            }31        ],32        temperature=0.7,33    )34 35    # Return the content of the first response message36    return response.choices[0].message.content37