🔧 chore(requirements.txt): update dependencies

The `requirements.txt` file has been updated to include the following changes:
- Removed the comment for the Google API dependency.
- Added the `anthropic` dependency.
- Added a newline at the end of the file.

🐛 fix(ChatProcess.py): fix removing reaction in Chat class
The `remove_reaction` method in the `Chat` class was not awaited, causing it to not be executed properly. The fix ensures that the method is awaited before continuing execution.

🐛 fix(prompts.py): fix placeholder name in createPrompt function
The placeholder name `[datetime]` in the `createPrompt` function has been changed to `[date-and-time]` to improve clarity and consistency.

🔧 chore(chat.txt): update Zenith prompt
The Zenith prompt in the `chat.txt` file has been updated to include additional instructions for the AI character. The update provides more context and guidance for the AI's behavior.

✨ feat(claude.py): add support for Claude model
A new file `claude.py` has been added to the `chatUtils/requesters` directory. This file contains the implementation for the `claude` function, which interacts with the Claude model from the Anthropoc API. The function takes a list of messages as input and generates a response using the Claude model.

🔧 chore(request.py): add support for Claude model in request function
The `request` function in the `request.py` file has been updated to include support for the Claude model. When the `model` parameter is set to "claude", the function calls the `claude` function from the `claude.py` file to generate a response.

🔧 chore(variousclasses.py): add Claude model to models class
The `models` class in the `variousclasses.py` file has been updated to include the Claude model as an option. The model name "claude" has been added to the `chatModels` list.

src/utils/variousclasses.py

@@ -5,11 +5,12 @@ class models:
     matchingDict = {
         "chatGPT (default - free)": "gpt-3.5-turbo",
         "llama (premium)": "text-llama",
+        "claude (premium)": "claude",
     }
     reverseMatchingDict = {v: k for k, v in matchingDict.items()}
     default = list(matchingDict.keys())[0]
     openaimodels = ["gpt-3.5-turbo", "text-davinci-003"]
-    chatModels = ["gpt-3.5-turbo"]
+    chatModels = ["gpt-3.5-turbo", "claude"]
 
     @classmethod
     async def autocomplete(cls, ctx: AutocompleteContext) -> list[str]: