Welcome to Jarvis, a cutting-edge virtual machine designed specifically to facilitate AI tasks. This README offers a comprehensive guide to effectively set up and utilize Jarvis for optimal results.
Jarvis collaborates with Microsoft's AutoGen to do tweet analysis.
Javirs_and_autogen_demo.mp4
- Obtain the necessary API keys to interface with third-party services:
- OPENAI_API_KEY
- Both
GOOGLE_API_KEYandGOOGLE_SEARCH_ENGINE_IDfor integrating Google Search Engine.
- Clone this repository:
git clone https://github.com/ngaut/jarvis.git && cd jarvis
- Set up the environment variables:
- Rename
.env.templateto.env, and input the necessary API keys mentioned in the Prerequisites section.
- Build a Local Docker Image
docker build -t jarvis-server:latest .
- Running Jarvis Server
The Jarvis server operates on port 51155 by default, offering services via the gRPC protocol.
To run the Jarvis server with Docker:
docker run --rm -p 51155:51155 \
-v $(pwd)/workspace:/app/workspace \
-v $(pwd)/.env:/app/.env \
jarvis-server:latest
Note: Ensure you've configured the .env file in the current directory before proceeding.
For guidance, you can refer to the code provided in this demo
Develop a skill that generates summaries of top stories from Hacknews.
stub.Execute( jarvis_pb2.ExecuteRequest( task=( "Collect the top three articles featured on Hacker News (https://news.ycombinator.com/), " "and produce a single professional reading summary that encompasses the content of all three articles, formatted in a user-friendly manner." ) ) )
Task output example:
executor_id: "ea8fcfdf59c011002875a88fcdac5e97"
task_id: 1
task: Collect the top three articles featured on Hacker News (https://news.ycombinator.com/), and produce a single professional reading summary that encompasses the content of all three articles, formatted in a user-friendly manner.
result: "The University of Turku in Finland is developing an artificial language corpus proficient in all European languages ..."
A step-by-step guide to save a developed skill for subsequent use.
stub.SaveSkill( jarvis_pb2.SaveSkillRequest( executor_id="ea8fcfdf59c011002875a88fcdac5e97", skill_name="HackerNews top three articles summary", ) )
Task output example:
executor_id: "ea8fcfdf59c011002875a88fcdac5e97"
result: "skill is saved as HackerNews top three articles summary"
Recall and utilize previously saved skills for the same or related tasks.
python run_skill_chain.py --workspace=workspace --skill_dir=skill_library --execution_dir=summary_hn_news --skills="HackerNews top three articles summary"
Task output example:
executing skill: HackerNews top three articles summary
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Skill Execution Summary
--------------------------------------------------
Skill Result: The article discusses a 3 state, 3 symbol Turing Machine called 'Bigfoot' that cannot be proven to halt or not without solving a Collatz-like problem ...
Skill Error: None
==================================================
Detailed Task Infos
==================================================
Subtask: Collect the top three articles featured on Hacker News (https://news.ycombinator.com/), and produce a single professional reading summary that encompasses the content of all three articles, formatted in a user-friendly manner.
Result: ...
Error: None
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End of Execution Summary
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We want to express our deepest gratitude to RoboGPT. Their pioneering work and groundbreaking contributions have been a source of inspiration in the development of Jarvis.