mberman84

git clone https://github.com/stitionai/devika.git
conda create -n devika python=3.10
conda activate devika
which python
/usr/local/anaconda3/envs/devika/bin/python -m pip install -r requirements.txt
playwright install --with-deps
npm install
bun run dev
open new terminal
conda activate devika

mberman84

git clone https://github.com/OpenDevin/OpenDevin.git
cd OpenDevin
conda create -n od python=3.10
conda activate od
docker ps
(optional) install docker if not already installed
docker pull ghcr.io/opendevin/sandbox
export OPENAI_API_KEY={your key}
(optional I had to install rust) curl --proto '=https' --tlsv1.2 -sSf [https://sh.rustup.rs](https://sh.rustup.rs/) | sh
(optional) restart terminal

mberman84

import requests

url = "https://api.mistral.ai/v1/chat/completions"
token = "API_KEY"
model = "mistral-medium"

prompt = """
John and Mark are in a room with a ball, a basket and a box. John puts the ball in the box, then leaves for work. While John is away, Mark puts the ball in the basket, and then leaves for school. They both come back together later in the day, and they do not know what happened in the room after each of them left the room. Where do they think the ball is?
"""

mberman84

1. # create new .py file with code found below
2. # install ollama
3. # install model you want “ollama run mistral”
4. conda create -n autogen python=3.11
5. conda activate autogen
6. which python
7. python -m pip install pyautogen
7. ollama run mistral
8. ollama run codellama
9. # open new terminal

mberman84

git clone https://github.com/cbh123/narrator
cd narrator
conda create -n narrator python=3.11
conda activate narrator
which python
python -m pip install -r requirements.txt
export ELEVENLABS_API_KEY={key}
export OPENAI_API_KEY={key}
python capture.py
# open new terminal

mberman84

import requests
import json
import gradio as gr

url = "http://localhost:11434/api/generate"

headers = {
    'Content-Type': 'application/json',
}

mberman84

# Clone the repo
git clone https://github.com/imartinez/privateGPT
cd privateGPT

# Install Python 3.11
pyenv install 3.11
pyenv local 3.11

# Install dependencies
poetry install --with ui,local

mberman84

# spin up a runpod GPU with TextGen WebUI, no need to use openai flag
# you can also use TextGen WebUI on your local computer
git clone https://github.com/cpacker/MemGPT.git
cd MemGPT
export OPENAI_API_BASE=https://some-stuff-5000.proxy.runpod.net # using runpod
# export OPENAI_API_BASE=localhost:5000 # using local computer
BACKEND_TYPE=webui
python3 main.py --no_verify

mberman84

import os
import autogen
import memgpt.autogen.memgpt_agent as memgpt_autogen
import memgpt.autogen.interface as autogen_interface 
import memgpt.agent as agent
import memgpt.system as system
import memgpt.utils as utils
import memgpt.presets as presets
import memgpt.constants as constants
import memgpt.personas.personas as personas

mberman84

git clone https://github.com/cpacker/MemGPT.git
conda create -n memgpt python=3.10
conda activate memgpt
cd memgpt
pip install -r requirements.txt
export OPENAI_API_KEY="YOUR_API_KEY"
# download .txt docs from: https://huggingface.co/datasets/MemGPT/example-sec-filings/tree/main
# place in "memgpt/personas/examples/preload_archival/*.txt"
python3 main.py --archival_storage_files_compute_embeddings="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic