Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import pandas as pd
+from collections import defaultdict
+
+df = pd.read_csv("./stackv2_languages.csv")
+
+langs = list(df["language"].unique())
+exts = list(df["extension"].unique())
+
+
+lang_to_ext = defaultdict(list)
+
+for ext, lang in zip(df["language"], df["extension"]):
+    lang_to_ext[lang].append(ext)
+
+def compute(lang):
+    
+    report = f"## Summary:\n\n The '{lang}' language has {len(lang_to_ext[lang])} extensions: {', '.join(lang_to_ext[lang])}.\n\n"
+    df_lang = df[df["language"]==lang]
+
+    for i, (ext, example) in enumerate(zip(df["extension"], df["example"])):
+        example_string = f"Example {i+1} (ext={ext}):\n\n ```\n{example}\n```\n\n"
+        report += example_string
+
+    return report.strip()
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Programming Languages for The Stack v2")
+
+    lang_select = gr.Dropdown(choices=langs)
+    md = gr.Markdown("")
+
+    lang_select.change(fn=compute, inputs=[lang_select], outputs=[md])
+    demo.load(fn=compute, inputs=[lang_select], outputs=[md])
+demo.launch()