Fixing some errors

AUTOGPT.py

@@ -8,7 +8,7 @@
 from dotenv import load_dotenv
 from pathlib import Path
 from json import JSONDecodeError
-from langchain.experimental.autonomous_agents.autogpt.agent import AutoGPT
+from langchain_experimental.autonomous_agents import AutoGPT
 from FreeLLM import ChatGPTAPI  # FREE CHATGPT API
 from FreeLLM import HuggingChatAPI  # FREE HUGGINGCHAT API
 from FreeLLM import BingChatAPI  # FREE BINGCHAT API
@@ -84,15 +84,20 @@
 
 elif select_model == "4":
     GB_TOKEN = os.getenv("BARDCHAT_TOKEN", "your-googlebard-token")
+    GB_PSIDTS = os.getenv("BARDCHAT_1PSITS", "your-googlebard-1PSITS")
 
     if GB_TOKEN != "your-googlebard-token":
         os.environ["BARDCHAT_TOKEN"] = GB_TOKEN
     else:
         raise ValueError(
             "GoogleBard Token EMPTY. Edit the .env file and put your GoogleBard token"
         )
-    cookie_path = os.environ["BARDCHAT_TOKEN"]
-    llm = BardChatAPI.BardChat(cookie=cookie_path)
+    if GB_TOKEN != "your-googlebard-1PSITS":
+        os.environ["BARDCHAT_1PSITS"] = GB_PSIDTS
+
+    secure_1psid = os.environ["BARDCHAT_TOKEN"]
+    secure_1psidts = os.environ["BARDCHAT_1PSITS"]
+    llm = BardChatAPI.BardChat(secure_1psid=secure_1psid,secure_1psidts=secure_1psidts)
 
 
 HF_TOKEN = os.getenv("HUGGINGFACE_TOKEN", "your-huggingface-token")

BABYAGI.py

@@ -17,7 +17,7 @@
 from langchain.vectorstores.base import VectorStore
 from pydantic import BaseModel, Field
 from langchain.chains.base import Chain
-from langchain.experimental import BabyAGI
+from langchain_experimental.autonomous_agents import BabyAGI
 from BabyAgi import BabyAGIMod
 
 import faiss
@@ -83,15 +83,20 @@
 
 elif select_model == "4":
     GB_TOKEN = os.getenv("BARDCHAT_TOKEN", "your-googlebard-token")
+    GB_PSIDTS = os.getenv("BARDCHAT_1PSITS", "your-googlebard-1PSITS")
 
     if GB_TOKEN != "your-googlebard-token":
         os.environ["BARDCHAT_TOKEN"] = GB_TOKEN
     else:
         raise ValueError(
             "GoogleBard Token EMPTY. Edit the .env file and put your GoogleBard token"
         )
-    cookie_path = os.environ["BARDCHAT_TOKEN"]
-    llm = BardChatAPI.BardChat(cookie=cookie_path)
+    if GB_TOKEN != "your-googlebard-1PSITS":
+        os.environ["BARDCHAT_1PSITS"] = GB_PSIDTS
+
+    secure_1psid = os.environ["BARDCHAT_TOKEN"]
+    secure_1psidts = os.environ["BARDCHAT_1PSITS"]
+    llm = BardChatAPI.BardChat(secure_1psid=secure_1psid,secure_1psidts=secure_1psidts)
 
 
 

FreeLLM/BardChatAPI.py

@@ -14,7 +14,8 @@
 class BardChat(LLM):
 
     history_data: Optional[List] = []
-    cookie : Optional[str]
+    secure_1psid : Optional[str]
+    secure_1psidts : Optional[str]
     chatbot : Optional[Chatbot] = None
 
 
@@ -28,11 +29,11 @@ async def call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
             #raise ValueError("stop kwargs are not permitted.")
         #cookie is a must check
         if self.chatbot is None:
-            if self.cookie is None:
+            if self.secure_1psid is None or self.secure_1psidts is None:
                 raise ValueError("Need a COOKIE , check https://github.com/acheong08/EdgeGPT/tree/master#getting-authentication-required for get your COOKIE AND SAVE")
             else:
                 #if self.chatbot == None:
-                self.chatbot = Chatbot(self.cookie)
+                self.chatbot = Chatbot(self.secure_1psid,self.secure_1psidts)
 
         response = self.chatbot.ask(prompt)
         #print(response)
@@ -48,7 +49,7 @@ def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
     @property
     def _identifying_params(self) -> Mapping[str, Any]:
         """Get the identifying parameters."""
-        return {"model": "BardCHAT", "cookie": self.cookie}
+        return {"model": "BardCHAT", "secure_1psid": self.secure_1psid}
 
 
 

FreeLLM/BingChatAPI.py

@@ -1,4 +1,4 @@
-from EdgeGPT import Chatbot, ConversationStyle
+from EdgeGPT.EdgeGPT import Chatbot, ConversationStyle
 import asyncio
 
 import requests

FreeLLM/HuggingChatAPI.py

@@ -35,7 +35,7 @@ def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
                     cookies = sign.login()
 
                     # Save cookies to usercookies/<email>.json
-                    sign.saveCookies()
+                    sign.saveCookiesToDir("usercookies/")
 
                     # Create a ChatBot
                     self.chatbot = hugchat.ChatBot(cookies=cookies.get_dict()) 

requirements.txt

@@ -1,5 +1,6 @@
 requests
 langchain
+langchain_experimental
 streamlit
 streamlit-chat-media
 numpy
@@ -8,8 +9,8 @@ duckduckgo-search
 transformers
 tabulate
 wikipedia
-faiss-gpu # if u have a GPU
-#faiss-cpu # if u dont have a GPU
+#faiss-gpu # if u have a GPU
+faiss-cpu # if u dont have a GPU
 nest_asyncio
 torch
 # tensorflow >= 2.0 -- For other future models