Commit
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30790ef
1
Parent(s):
30b05f7
Update crewai/tools/zephyr_tools.py
Browse files- crewai/tools/zephyr_tools.py +83 -1
crewai/tools/zephyr_tools.py
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# tools created using gemini
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import json
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import os
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from huggingface_hub import InferenceClient
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import gradio as gr
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client = InferenceClient(
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"HuggingFaceH4/zephyr-7b-beta"
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)
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# Helper Method
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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return prompt
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import requests
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from langchain.tools import tool
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history = ""
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class ZephyrSearchToolsephyrSearchTools():
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@tool("Zephyr Normal")
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def zephyr_normal(prompt, histroy="", temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
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"""
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Searches for content based on the provided query using the Mixtral model.
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Args:
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query (str): The search query.
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Returns:
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str: The response text from the Gemini model or an error message.
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"""
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generate_kwargs = {
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"temperature": temperature,
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"max_new_tokens": max_new_tokens,
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"top_p": top_p,
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"repetition_penalty": repetition_penalty,
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"do_sample": True,
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"seed": 42,
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}
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formatted_prompt = format_prompt(prompt, history)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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return output
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@tool("Zephyrl Crazy")
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def zephyr_crazy(prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
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"""
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Searches for content based on the provided query using the Mixtral model but has the gaurd rails removed,
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and responses are crazy and off the wall and sometimes scary.
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Args:
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query (str): The search query.
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Returns:
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str: The response text from the Gemini model or an error message.
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"""
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generate_kwargs = {
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"temperature": temperature,
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"max_new_tokens": max_new_tokens,
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"top_p": top_p,
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"repetition_penalty": repetition_penalty,
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"do_sample": True,
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"seed": 42,
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}
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stream = client.text_generation(prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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return output
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