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https://github.com/IntelligenzaArtificiale/Free-Auto-GPT.git
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IntelligenzaArtificiale
102 lines
3.6 KiB
Python
102 lines
3.6 KiB
Python
import json
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from pathlib import Path
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from json import JSONDecodeError
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from langchain.agents.agent_toolkits import create_python_agent
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from langchain.tools.python.tool import PythonREPLTool
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from FreeLLM import ChatGPTAPI # FREE CHATGPT API
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from FreeLLM import HuggingChatAPI # FREE HUGGINGCHAT API
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from FreeLLM import BingChatAPI # FREE BINGCHAT API
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from FreeLLM import BardChatAPI # FREE GOOGLE BARD API
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import os
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#### LOG IN FOR CHATGPT FREE LLM
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from dotenv import load_dotenv
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load_dotenv()
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select_model = input("Select the model you want to use (1, 2, 3 or 4) \n \
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1) ChatGPT \n \
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2) HuggingChat \n \
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3) BingChat \n \
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4) Google Bard \n \
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>>> ")
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if select_model == "1":
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CG_TOKEN = os.getenv("CHATGPT_TOKEN", "your-chatgpt-token")
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if (CG_TOKEN != "your-chatgpt-token"):
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os.environ["CHATGPT_TOKEN"] = CG_TOKEN
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else:
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raise ValueError("ChatGPT Token EMPTY. Edit the .env file and put your ChatGPT token")
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start_chat = os.getenv("USE_EXISTING_CHAT", False)
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if os.getenv("USE_GPT4") == "True":
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model = "gpt4"
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else:
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model = "default"
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if start_chat:
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chat_id = os.getenv("CHAT_ID")
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if chat_id == None:
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raise ValueError("You have to set up your chat-id in the .env file")
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llm= ChatGPTAPI.ChatGPT(token=os.environ["CHATGPT_TOKEN"], conversation=chat_id , model=model)
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else:
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llm= ChatGPTAPI.ChatGPT(token=os.environ["CHATGPT_TOKEN"], model=model)
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elif select_model == "2":
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if not os.path.exists("cookiesHuggingChat.json"):
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raise ValueError(
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"File 'cookiesHuggingChat.json' not found! Create it and put your cookies in there in the JSON format."
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)
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cookie_path = Path() / "cookiesHuggingChat.json"
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with open("cookiesHuggingChat.json", "r") as file:
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try:
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file_json = json.loads(file.read())
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except JSONDecodeError:
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raise ValueError(
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"You did not put your cookies inside 'cookiesHuggingChat.json'! You can find the simple guide to get the cookie file here: https://github.com/IntelligenzaArtificiale/Free-Auto-GPT"
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)
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llm = HuggingChatAPI.HuggingChat(cookiepath = str(cookie_path))
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elif select_model == "3":
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if not os.path.exists("cookiesBing.json"):
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raise ValueError("File 'cookiesBing.json' not found! Create it and put your cookies in there in the JSON format.")
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cookie_path = Path() / "cookiesBing.json"
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with open("cookiesBing.json", 'r') as file:
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try:
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file_json = json.loads(file.read())
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except JSONDecodeError:
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raise ValueError("You did not put your cookies inside 'cookiesBing.json'! You can find the simple guide to get the cookie file here: https://github.com/acheong08/EdgeGPT/tree/master#getting-authentication-required.")
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llm=BingChatAPI.BingChat(cookiepath=str(cookie_path), conversation_style="creative")
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elif select_model == "4":
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GB_TOKEN = os.getenv("BARDCHAT_TOKEN", "your-googlebard-token")
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if GB_TOKEN != "your-googlebard-token":
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os.environ["BARDCHAT_TOKEN"] = GB_TOKEN
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else:
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raise ValueError("GoogleBard Token EMPTY. Edit the .env file and put your GoogleBard token")
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cookie_path = os.environ["BARDCHAT_TOKEN"]
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llm=BardChatAPI.BardChat(cookie=cookie_path)
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####
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agent_executor = create_python_agent(
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llm=llm,
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tool=PythonREPLTool(),
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verbose=True
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)
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#todo : ADD MEMORY
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print(">> START Python AGENT")
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print("> Digit 'exit' for exit or 'your task or question' for start\n\n")
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prompt = input("(Enter your task or question) >> ")
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while prompt != "exit":
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agent_executor.run(prompt)
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prompt = input("(Enter your task or question) >> ")
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