blackwhites / agent loop

Created March 10, 2025 13:48 — forked from jlia0/agent loop

Manus tools and prompts

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

blackwhites / app.py

Created September 3, 2024 06:12 — forked from nicekate/app.py

支持 github models的Streamlit应用，可以选择GPT-4o或4o mini，文字或图片对话。

	import os
	import base64
	import streamlit as st
	from openai import OpenAI

	# 设置环境变量和OpenAI客户端
	token = os.environ["GITHUB_TOKEN"]
	endpoint = "https://models.inference.ai.azure.com"
	model_name = st.sidebar.selectbox("选择模型:", ["gpt-4o", "gpt-4o-mini"])

blackwhites / README.md

Created April 22, 2024 15:35 — forked from disler/README.md

Use these Prompt Chains to build HIGH QUALITY AI Agents (Agentic Building Blocks)

Setup

Create a new directory with these three files (requirements.txt, main.py, README.md)
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python main.py
Update main() to run the example prompt chains

blackwhites / extract.py

Created November 18, 2023 06:24 — forked from thisismattmiller/extract.py

Code for video demo: https://youtu.be/TDTmlGyeNp8

	import requests
	import shutil
	import camelot.io as camelot
	import os
	from PyPDF2 import PdfFileReader, PdfFileWriter


	for year in range(2011,2017):

	url = f'https://files.dep.state.pa.us/Waste/Recycling/RecyclingPortalFiles/Documents/{year}_Recycling_Report.pdf'

blackwhites / finetune_llama_v2.py

Created August 22, 2023 07:49 — forked from younesbelkada/finetune_llama_v2.py

Fine tune Llama v2 models on Guanaco Dataset

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

blackwhites / bot.py

Created April 10, 2023 08:01 — forked from xinqiu/bot.py

Creating a private data QA bot entirely using the open-source LLM project

	from langchain import PromptTemplate, LLMChain
	from langchain.document_loaders import UnstructuredHTMLLoader
	from langchain.embeddings import LlamaCppEmbeddings
	from langchain.llms import LlamaCpp
	from langchain.text_splitter import RecursiveCharacterTextSplitter
	from langchain.vectorstores.faiss import FAISS

	loader = UnstructuredHTMLLoader("langchain/docs/_build/html/index.html")
	embedding = LlamaCppEmbeddings(model_path="path/models/ggml-model-q4_0.bin")
	llm = LlamaCpp(model_path="path/models/ggml-model-q4_0.bin")

blackwhites / chatpdf-zh.ipynb

Created March 25, 2023 07:24 — forked from ninehills/chatpdf-zh.ipynb

ChatPDF-zh.ipynb

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blackwhites / MakingPrompt.md

Created December 14, 2022 03:45 — forked from hyuki/MakingPrompt.md

ChatGPTを使って画像生成AIのプロンプトを生成する

以下の内容はMarkdownとして体裁を整える以外、修正は加えていません。

質問（結城浩）

blackwhites / ai-writing-tools.md

Created December 14, 2022 03:43 — forked from rowe-morehouse/ai-writing-tools.md

🔥 List of AI Writing Tools: AI Writing Assistant, AI Chat, Automatic Content Generation, Idea Recommendation, Paraphrasing, Summarizing, Outlining, SEO Metas, Grammar Check, Tone Check, Sales Email Customization

List of AI Writing Tools 20221127 | by Rowe Morehouse @rowemore

in random order:

blackwhites / world_cup_2022_dataset_extract_OpenAI_ChatGPT.md

Created December 14, 2022 03:37 — forked from wey-gu/world_cup_2022_dataset_extract_OpenAI_ChatGPT.md

Extract Data from wikipedia for World Cup 2022 Dataset

Extract Code

generated by OpenAI ChatGPT, data fetched from https://en.wikipedia.org/wiki/2022_FIFA_World_Cup_squads

import requests
from bs4 import BeautifulSoup
import csv

# Define the URL of the Wikipedia page