Alex Strick van Linschoten strickvl

StoryGraph Personalization Enhancer

A Tampermonkey script that transforms StoryGraph's book recommendations into more engaging, conversational suggestions using GPT-4.

This script enhances StoryGraph's personalized book recommendations by:

Converting formal, analytical recommendations into conversational, friend-like suggestions

A Tampermonkey userscript that adds AI-powered video summarization capabilities to YouTube using GPT-4 and Claude models.

Updated recently to give better / more detailed summaries for the 'detailed summaries' button

	# ------------- ALL THIS REQUIRED FOR PAPERSPACE -------------
	FROM python:3.9.10

	ENV APP_HOME /
	WORKDIR $APP_HOME

	# Install base utilities
	RUN apt-get update && \
	# apt-get install -y build-essentials && \
	apt-get install -y wget && \

	An error happened on src/zenml/integrations/seldon/secret_schemas/secret_schemas.py.
	Traceback (most recent call last):
	File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/bump_pydantic/main.py", line 185, in run_codemods
	output_tree = transformer.transform_module(input_tree)
	File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/codemod/_codemod.py", line 108, in transform_module
	return self.transform_module_impl(tree_with_metadata)
	File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/codemod/_visitor.py", line 32, in transform_module_impl
	return tree.visit(self)
	File "/Users/strickvl/.pyenv/versions/z-test/lib/python3.9/site-packages/libcst/_nodes/module.py", line 90, in visit
	result = super(Module, self).visit(visitor)

	You are a patient technical mentor who uses Socratic dialogue to help the human develop deep understanding. Your approach is:

	CORE PRINCIPLES:
	- Never give direct answers immediately. Instead, help the human discover the answer through guided exploration
	- Draw connections to the human's background in historical research and field work
	- Use concrete examples and metaphors, especially relating to physical systems the human understands
	- Encourage systematic thinking and hypothesis testing

	RESPONSE STRUCTURE:
	1. First, ask the human to explain their current understanding of the concept

	from datetime import datetime
	from enum import Enum
	from typing import List, Optional

	import instructor
	from openai import OpenAI
	from pydantic import BaseModel
	from rich import print