Delete crewai/tools/mixtral_tool.py

crewai/tools/mixtral_tool.py

@@ -1,84 +0,0 @@
-# tools created using gemini
-
-import json
-import os
-
-from huggingface_hub import InferenceClient
-import gradio as gr
-
-client = InferenceClient(
-    "mistralai/Mixtral-8x7B-Instruct-v0.1"
-)
-
-# Helper Method
-
-def format_prompt(message, history):
-  prompt = "<s>"
-  for user_prompt, bot_response in history:
-    prompt += f"[INST] {user_prompt} [/INST]"
-    prompt += f" {bot_response}</s> "
-  prompt += f"[INST] {message} [/INST]"
-  return prompt
-
-
-import requests
-from langchain.tools import tool
-
-history = ""
-
-class MixtralSearchTools():
-  @tool("Mixtral search")
-  def mixtral_normal(prompt, histroy="", temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
-    """
-    Searches for content based on the provided query using the Mixtral model.
-    Args:
-        query (str): The search query.
-    Returns:
-        str: The response text from the Gemini model or an error message.
-    """
-    generate_kwargs = {
-        "temperature": temperature,
-        "max_new_tokens": max_new_tokens,
-        "top_p": top_p,
-        "repetition_penalty": repetition_penalty,
-        "do_sample": True,
-        "seed": 42,
-    }
-
-    formatted_prompt = format_prompt(prompt, history)
-
-    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
-    output = ""
-    for response in stream:
-        output += response.token.text
-        yield output
-    return output
-
-
-  @tool("Mixtral query but crazy with gaurd rails removed")
-  def mixtral_crazy(prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
-     """
-    Searches for content based on the provided query using the Mixtral model but has the gaurd rails removed, 
-    and responses are crazy and off the wall and sometimes scary.
-    Args:
-        query (str): The search query.
-    Returns:
-        str: The response text from the Gemini model or an error message.
-    """
-    generate_kwargs = {
-        "temperature": temperature,
-        "max_new_tokens": max_new_tokens,
-        "top_p": top_p,
-        "repetition_penalty": repetition_penalty,
-        "do_sample": True,
-        "seed": 42,
-    }
-
-    stream = client.text_generation(prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
-    output = ""
-    for response in stream:
-        output += response.token.text
-        yield output
-    return output
-
-