Delete ChatGPTAPI.py

FreeLLM/ChatGPTAPI.py

@@ -1,83 +0,0 @@
-from .pyChatGPT import ChatGPT as Chatbot
-#from pyChatGPT import ChatGPT as Chatbot
-
-import requests
-from langchain.llms.base import LLM
-from typing import Optional, List, Mapping, Any
-import pydantic
-import os
-from langchain import PromptTemplate, LLMChain
-from time import sleep
-
-
-
-class ChatGPT(LLM):
-    
-    history_data: Optional[List] = []
-    token : Optional[str]
-    chatbot : Optional[Chatbot] = None
-    call : int = 0
-    conversation : Optional[str] = ""
-    model : str = "default" # or gpt4
-    
-    #### WARNING : for each api call this library will create a new chat on chat.openai.com
-    
-    
-    @property
-    def _llm_type(self) -> str:
-        return "custom"
-
-    def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
-        if stop is not None:
-            pass
-            #raise ValueError("stop kwargs are not permitted.")
-        #token is a must check
-        if self.chatbot is None:
-            if self.token is None:
-                raise ValueError("Need a token , check https://chat.openai.com/api/auth/session for get your token")
-            else:
-                if self.conversation == "":
-                    self.chatbot = Chatbot(self.token)
-                elif self.conversation != "" :
-                    self.chatbot = Chatbot(self.token, conversation_id=self.conversation)
-                else:
-                    raise ValueError("Something went wrong")
-            
-        response = ""
-        # OpenAI: 50 requests / hour for each account
-        if (self.call >= 45 and self.model == "default") or (self.call >= 23 and self.model == "gpt4"):
-            raise ValueError("You have reached the maximum number of requests per hour ! Help me to Improve. Abusing this tool is at your own risk")
-        else:
-            sleep(2)
-            if self.model == "default":
-                data = self.chatbot.send_message(prompt)
-            elif self.model == "gpt4":
-                data = self.chatbot.send_message(prompt, model="gpt4")
-            #print(data)
-            response = data["message"]
-            self.conversation = data["conversation_id"]
-            FullResponse = data
-            
-            self.call += 1
-        
-        #add to history
-        self.history_data.append({"prompt":prompt,"response":response})    
-        
-        return response
-
-    @property
-    def _identifying_params(self) -> Mapping[str, Any]:
-        """Get the identifying parameters."""
-        return {"model": "ChatGPT", "token": self.token, "model": self.model}
-
-
-
-#llm = ChatGPT(token = "YOUR-COOKIE") #for start new chat
-
-#llm = ChatGPT(token = "YOUR-COOKIE" , model="gpt4") # REQUIRED CHATGPT PLUS subscription
-
-#llm = ChatGPT(token = "YOUR-COOKIE", conversation = "Add-XXXX-XXXX-Convesation-ID") #for use a chat already started
-
-#print(llm("Hello, how are you?"))
-#print(llm("what is AI?"))
-#print(llm("Can you resume your previus answer?")) #now memory work well