switched to meta

app.py

@@ -1,39 +1,20 @@
 import os
 import gradio as gr
 import requests
-# import math
-# import inspect
 import pandas as pd
 import datetime
-# from dotenv import load_dotenv
-
 from langchain.tools import tool
-# from langchain_community.tools import get_all_tools
-# from typing import TypedDict, Annotated
-# from langgraph.graph.message import add_messages
-# from langchain_core.messages import AnyMessage, HumanMessage, AIMessage
-# from langgraph.prebuilt import ToolNode
-# from langgraph.graph import START, StateGraph, END, Graph
-# from langgraph.prebuilt import tools_condition
 from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
 from langchain.agents import initialize_agent, AgentType
-# from langchain_community.llms import HuggingFaceHub
-# from langchain_community.chat_models import ChatHuggingFace
-# import openai
-# from openai import OpenAI
-# from langchain_openai import ChatOpenAI
 
 ## # Load environment variables from .env file
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # Load the environment variables
-# load_dotenv()
 HF_ACCESS_KEY = os.getenv('HF_ACCESS_KEY')
 WEATHER_API_KEY = os.getenv('WEATHER_API_KEY')
-# OPENAI_MODEL =  os.getenv('OPENAI_MODEL') #'gpt-3.5-turbo-0613'
-# OPENAI_KEY = os.getenv('OPENAI_KEY')
-# client = OpenAI(api_key = OPENAI_KEY)
+
 
 ########## ----- DEFINING TOOLS -----##########
 
@@ -273,7 +254,7 @@ Instructions:
 # Generate the chat interface, including the tools
 
 llm = HuggingFaceEndpoint(
-    repo_id="Qwen/Qwen2-14B-Instruct",
+    repo_id="meta-llama/Meta-Llama-3-14B-Instruct",
     huggingfacehub_api_token=HF_ACCESS_KEY,
     # model_kwargs={'prompt': system_prompt}
     # system_prompt=system_prompt,