| import sys | |
| from io import StringIO | |
| import streamlit as st # pip install streamlit | |
| from code_editor import code_editor # pip install streamlit_code_editor | |
| import ollama as ol # pip install ollama | |
| st.set_page_config(layout='wide') | |
| st.title('`Offline code completion`') |
| """ | |
| A minimal, fast example generating text with Llama 3.1 in MLX. | |
| To run, install the requirements: | |
| pip install -U mlx transformers fire | |
| Then generate text with: | |
| python l3min.py "How tall is K2?" |
| <!doctype html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
| <title>LM Studio Chat Interface</title> | |
| <style> | |
| body { | |
| font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", | |
| Roboto, sans-serif; |
| import requests | |
| import subprocess | |
| import yaml | |
| def get_data_from_api(): | |
| base_url = "http://localhost:1234/v1" | |
| response = requests.get(base_url + "/models") | |
| if response.status_code == 200: | |
| json_data = response.json() |
| package main | |
| import ( | |
| "encoding/json" | |
| "fmt" | |
| "io/ioutil" | |
| "os" | |
| "os/user" | |
| "path/filepath" | |
| "strings" |
| #!/bin/bash | |
| # Ollama Model Export Script | |
| # Usage: bash ollama-export.sh vicuna:7b | |
| # License: MIT (https://ncurl.xyz/s/o_o6DVqIR) | |
| # https://gist.github.com/supersonictw/f6cf5e599377132fe5e180b3d495c553 | |
| # Interrupt if any error occurred | |
| set -e | |
| # Declare |
| # Faster but not private way to achive the above | |
| # is to define a bash function and source it at startup | |
| function html_to_md () { | |
| if [[ $# -eq 2 ]]; then | |
| curl "https://r.jina.ai/$1" > "$2".md | |
| echo "Content saved to \"$2\".md" | |
| else | |
| curl "https://r.jina.ai/$@" | |
| fi | |
| } |
Replace natbib by biblatex to get citation links
\usepackage[backend=bibtex, style=authoryear-comp, natbib=true, sortcites=false]{biblatex}
\addbibresource{main.bib}
% optional if you want (Smith 1776) instead of (Smith, 1776)
\renewcommand*{\nameyeardelim}{\addspace}
\begin{document}
| def energy(z, n, m, L): | |
| return np.cos(n* np.pi *np.real(z) / L) *np.cos(m *np.pi*np.imag(z) / L) - np.cos(m*np.pi*np.real(z)/ L) *np.cos(n* np.pi *np.imag(z) / L) | |
| class ChladniPlate: | |
| def __init__(self, n, m, L=1, n_particles=10000): | |
| self.L = L | |
| self.n_particles = n_particles | |
| self.n = n | |
| self.m = m |
| # From https://github.com/matplotlib/matplotlib/issues/2789/#issuecomment-604599060 | |
| # Content as in example | |
| # ------------------------------ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # invent some numbers, turning the x and y arrays into simple | |
| # 2d arrays, which make combining them together easier. | |
| x = np.linspace(-3, 5, 150).reshape(1, -1) | |
| y = np.linspace(-3, 5, 120).reshape(-1, 1) |