Document steps

[jmikedupont2]

step 0 is install and configure code

Step 1 is load data into the system

Step 2 is to find the inputs

[jmikedupont2]

the version of the code I am using is https://github.com/jmikedupont2/https-lablab.ai-event-llama-2-hackathon-with-clarifai-introspector/blob/emojis/src/introspector/clarify/model/list_unclassified.py

[jmikedupont2]

Here are the important parameters

• concept_id=python
• app_id=Introspector-LLama2-Hackathon-Demo1
• page_size=3
• workflow=RakeItUpV3Critical_Reconstruction_of4
• input_id=f78ca91871b74e249033d5179e730dd9
• mode=one-input
• embedded=true

select a rake from here https://github.com/jmikedupont2/https-lablab.ai-event-llama-2-hackathon-with-clarifai-introspector/blob/emojis/src/introspector/clarify/model/rakes.txt

for example you can try there RakeItUpV3Critical_Reconstruction_of4

[jmikedupont2]

Another way to get inputs is to go to clarifai inputs and add input and tag with concept https://clarifai.com/rxngfnlo5uhx/Introspector-LLama2-Hackathon-Demo1/inputs?addInputs=&datasetId=

[jmikedupont2]

go to clarifai inputs and add input and tag with concept https://clarifai.com/rxngfnlo5uhx/Introspector-LLama2-Hackathon-Demo1/inputs?addInputs=&datasetId=

[jmikedupont2]

Now we can grep the data: grep streamlit model/index.txt That gives us the ids of the inputs we want.

get the ids: ./fd1/c4a634ea64ba394524774e677d4dd:PAYLOAD:{"line":

Now we can take that id: fd1c4a634ea64ba394524774e677d4dd

[jmikedupont2]

MTb4zDu6QLZVJMvj we will use this id from the first page of https://github.com/meta-introspector/meta-meme/wiki/agent-api

[jmikedupont2]

for demo 1 video we use 4t8pqN6bps7qGTSY from https://github.com/meta-introspector/meta-meme/wiki/SystemsDesign

[jmikedupont2]

The above genesis prompt describes a process for creating an AGI on GitHub, utilizing various tools and techniques to implement autopoetic rewrites, utilize Docker for isolation, and push changes to the repository. The goal is to create an intelligent system that can learn and adapt by rewriting itself, leveraging GitHub actions and the GitHub API.

[jmikedupont2]

step 1 https://org-clarifai.streamlit.app/ step 2 select concept Introspector

https://org-clarifai.streamlit.app/?mode=one-input&concept_id=Introspector&app_id=Introspector-LLama2-Hackathon-Demo1&page_size=3&input_id=d735e2fea13a4d85bc9b1fcde77779ae&workflow=RakeItUpV3Critical_Reconstruction_of4&data_url=url%3Dhttps%253A%252F%252Fdata.clarifai.com%252Forig%252Fusers%252Frxngfnlo5uhx%252Fapps%252FIntrospector-LLama2-Hackathon-Demo1%252Finputs%252Ftext%252F72545652308889540a995ae462d609ba

[jmikedupont2]

now we bundled 2 items https://compose.streamlit.app/?nickname=mike&messages=https%3A%2F%2Forg-clarifai.streamlit.app%2F%3Fmode%3Done-input%26concept_id%3DIntrospector%26app_id%3DIntrospector-LLama2-Hackathon-Demo1%26page_size%3D3%26input_id%3Dd735e2fea13a4d85bc9b1fcde77779ae%26workflow%3DRakeItUpV3Critical_Reconstruction_of4%26data_url%3Durl%253Dhttps%25253A%25252F%25252Fdata.clarifai.com%25252Forig%25252Fusers%25252Frxngfnlo5uhx%25252Fapps%25252FIntrospector-LLama2-Hackathon-Demo1%25252Finputs%25252Ftext%25252F72545652308889540a995ae462d609ba%26embedded%3Dtrue&messages=https%3A%2F%2Forg-clarifai.streamlit.app%2F%3Fmode%3Done-input%26concept_id%3DIntrospector%26app_id%3DIntrospector-LLama2-Hackathon-Demo1%26page_size%3D3%26input_id%3DRf3H4TO2RZJC9D1H%26workflow%3DRakeItUpV3Critical_Reconstruction_of3%26data_url%3Durl%253Dhttps%25253A%25252F%25252Fdata.clarifai.com%25252Forig%25252Fusers%25252Frxngfnlo5uhx%25252Fapps%25252FIntrospector-LLama2-Hackathon-Demo1%25252Finputs%25252Ftext%25252Fcd3f6984e678380280d075819d3fa86b%26embedded%3Dtrue

[jmikedupont2]

Signed https://jwtjwt.streamlit.app/?embedded=True&_jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.YnIg2qN7Yc0dWHj9A-UaJohpx0b9hVLtCaeMaf9Y88Y&expiration=60&resource=https%3A%2F%2Fcompose.streamlit.app%2F%3Fnickname%3Dmike%26messages%3Dhttps%253A%252F%252Forg-clarifai.streamlit.app%252F%253Fmode%253Done-input%2526concept_id%253DIntrospector%2526app_id%253DIntrospector-LLama2-Hackathon-Demo1%2526page_size%253D3%2526input_id%253Dd735e2fea13a4d85bc9b1fcde77779ae%2526workflow%253DRakeItUpV3Critical_Reconstruction_of4%2526data_url%253Durl%25253Dhttps%2525253A%2525252F%2525252Fdata.clarifai.com%2525252Forig%2525252Fusers%2525252Frxngfnlo5uhx%2525252Fapps%2525252FIntrospector-LLama2-Hackathon-Demo1%2525252Finputs%2525252Ftext%2525252F72545652308889540a995ae462d609ba%2526embedded%253Dtrue%26messages%3Dhttps%253A%252F%252Forg-clarifai.streamlit.app%252F%253Fmode%253Done-input%2526concept_id%253DIntrospector%2526app_id%253DIntrospector-LLama2-Hackathon-Demo1%2526page_size%253D3%2526input_id%253DRf3H4TO2RZJC9D1H%2526workflow%253DRakeItUpV3Critical_Reconstruction_of3%2526data_url%253Durl%25253Dhttps%2525253A%2525252F%2525252Fdata.clarifai.com%2525252Forig%2525252Fusers%2525252Frxngfnlo5uhx%2525252Fapps%2525252FIntrospector-LLama2-Hackathon-Demo1%2525252Finputs%2525252Ftext%2525252Fcd3f6984e678380280d075819d3fa86b%2526embedded%253Dtrue&secret=42