JGalego

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "pillow >= 9.2.0",
# ]
# ///

"""
Fetches author names from an arXiv paper and visually superimposes them in a centered stack.

JGalego

# /// script
# requires-python = ">=3.7,<=3.11"
# dependencies = [
#     "langchain-groq >= 0.3.4",
#     "scrapegraphai >= 1.57.0",
# ]
# ///
"""
Simple recon script using scrapegraphai with Groq
"""

JGalego

JGalego

JGalego

# /// script
# requires-python = ">=3.7,<=3.11"
# dependencies = [
#     "azure-identity >= 1.2.1",
#     "openai >= 1.65.2",
# ]
# ///
"""
Quick 'n' dirty 'Ahoy!' demo with Azure OpenAI

JGalego

% This Prolog program is just a glorified database.
%
% "You use glorified to indicate that something is less important
% or impressive than its name actually suggests." (Collins Dictionary)
%
% @author João Galego
%

% Facts (according to the Internet)
glorified('Docker Image', tarball).

JGalego

# Dependencies:
# + jq (https://jqlang.org/)
# + consolemd (https://github.com/kneufeld/consolemd)
curl -s "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=$GEMINI_API_KEY" \
-H 'Content-Type: application/json' \
-X POST \
-d '{
  "contents": [{
    "parts":[{"text": "Explain how AI works"}]
    }]

JGalego

# /// script
# requires-python = ">=3.7,<=3.11"
# dependencies = [
#     "giskard[llm] >= 2.16.1",
#     "langchain >= 0.3.19",
#     "langchain-community >= 0.3.18",
#     "langchain-openai >= 0.3.1",
#     "openai >= 1.65.2",
#     "pandas >= 2.2.3",
#     "pypdf <= 3.17.0"

JGalego

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "smolagents[litellm] >= 1.9.2",
# ]
# ///
"""
smolagents meets Groq via LiteLLM 🚅

Adapted from https://github.com/huggingface/smolagents/issues/429

JGalego

"""
DeepSeek with Groq
https://console.groq.com/docs/model/deepseek-r1-distill-llama-70b
"""

from groq import Groq

client = Groq()

completion = client.chat.completions.create(