# + tags=["hide_inp"] desc = """ ### Table Example of extracting tables from a textual document. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/srush/MiniChain/blob/master/examples/table.ipynb) """ # - # $ import pandas as pd from minichain import prompt, Mock, show, OpenAIStream import minichain import json import gradio as gr import requests rotowire = requests.get("https://raw.githubusercontent.com/srush/text2table/main/data.json").json() names = { '3-pointer percentage': 'FG3_PCT', '3-pointers attempted': 'FG3A', '3-pointers made': 'FG3M', 'Assists': 'AST', 'Blocks': 'BLK', 'Field goal percentage': 'FG_PCT', 'Field goals attempted': 'FGA', 'Field goals made': 'FGM', 'Free throw percentage': 'FT_PCT', 'Free throws attempted': 'FTA', 'Free throws made': 'FTM', 'Minutes played': 'MIN', 'Personal fouls': 'PF', 'Points': 'PTS', 'Rebounds': 'REB', 'Rebounds (Defensive)': 'DREB', 'Rebounds (Offensive)': 'OREB', 'Steals': 'STL', 'Turnovers': 'TO' } # Convert an example to dataframe def to_df(d): players = {player for v in d.values() if v is not None for player, _ in v.items()} lookup = {k: {a: b for a, b in v.items()} for k,v in d.items()} rows = [dict(**{"player": p}, **{k: "_" if p not in lookup.get(k, []) else lookup[k][p] for k in names.keys()}) for p in players] return pd.DataFrame.from_dict(rows).astype("str").sort_values(axis=0, by="player", ignore_index=True).transpose() # Make few shot examples few_shot_examples = 2 examples = [] for i in range(few_shot_examples): examples.append({"input": rotowire[i][1], "output": to_df(rotowire[i][0][1]).transpose().set_index("player").to_csv(sep="\t")}) @prompt(OpenAIStream(), template_file="table.pmpt.txt", block_output=gr.HTML, stream=True) def extract(model, passage, typ): state = [] out = "" for token in model.stream(dict(player_keys=names.items(), examples=examples, passage=passage, type=typ)): out += token html = "
" + out.replace("\t", " | ").replace("\n", " |
") + " |