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import gradio as gr | |
import pandas as pd | |
from collections import defaultdict | |
df = pd.read_csv("./stackv2_languages_freq.csv") | |
langs = sorted(list(df["language"].unique())) | |
exts = list(df["extension"].unique()) | |
def compute(lang): | |
df_lang = df[df["language"]==lang] | |
# clean up weird exts | |
df_lang = df_lang[df_lang["ext_fraction_per_lang"] > 0.0001].reset_index() | |
df_lang_uniq = df_lang.groupby("extension").first().reset_index() | |
report = f"## Summary:\n\n The `{lang}` language has {df_lang_uniq.shape[0]} extensions: \n\n" | |
for i, (ext, ext_fraction, gen_fraction, vend_fraction) in enumerate(zip(df_lang_uniq["extension"], df_lang_uniq["ext_fraction_per_lang"], df_lang_uniq["generated_fraction"], df_lang_uniq["vendor_fraction"])): | |
fractions_string = f"{max(ext_fraction, 1)*100:.2f}%" | |
if gen_fraction > 0.2: | |
fractions_string += f", autogenerated: {max(gen_fraction, 1)*100:.2f}%" | |
if vend_fraction > 0.2: | |
fractions_string += f", vendor files: {max(vend_fraction, 1)*100:.2f}%" | |
report += f"`{ext}` ({fractions_string}), \n\n" | |
report = report[:-2] + "\n\n\n\n" | |
for i, (ext, example) in enumerate(zip(df_lang["extension"], df_lang["content"])): | |
example_string = f"**Example {i+1} (extension=`{ext}`):**\n\n ```\n{example}\n```\n\n" | |
report += example_string | |
return report.strip() | |
with gr.Blocks() as demo: | |
gr.Markdown(f"# Programming Languages for The Stack v2\n\nIn total there are **{len(langs)} languages** and **{len(exts)} extensions.**") | |
lang_select = gr.Dropdown(choices=langs, value="Python") | |
md = gr.Markdown("") | |
lang_select.change(fn=compute, inputs=[lang_select], outputs=[md]) | |
demo.load(fn=compute, inputs=[lang_select], outputs=[md]) | |
demo.launch() | |