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import gradio as gr
import requests
from bs4 import BeautifulSoup
import subprocess
DEF_SNIPPET = "echo 'Hello, World!'"
DEF_LANG = "Python"
def execute_snippet(code_snippet: str = DEF_SNIPPET, lang: str = DEF_LANG) -> str:
lang_param = None
match lang:
case "C++": lang_param = "cpp"
case "C#": lang_param = "cs"
case "Bash": # Handle Bash code execution
try:
# Execute the Bash command and capture the output
result = subprocess.run(
["bash", "-c", code_snippet],
capture_output=True,
text=True,
check=True
)
return result.stdout.strip() # Return the standard output
except subprocess.CalledProcessError as e:
return f"Error: {e.stderr.strip()}"
case "Zsh": # Handle Zsh code execution
try:
# Execute the Zsh command and capture the output
result = subprocess.run(
["zsh", "-c", code_snippet],
capture_output=True,
text=True,
check=True
)
return result.stdout.strip() # Return the standard output
except subprocess.CalledProcessError as e:
return f"Error: {e.stderr.strip()}"
case _: lang_param = lang.lower()
# FIXME: ERROR HANDLING
res = requests.request("POST", f"https://try.w3schools.com/try_{lang_param}.php", data={
"code": code_snippet
})
match lang_param:
case "php": return res.text
case _: return BeautifulSoup(res.text, "html.parser").find_all("pre")[0].string
demo = gr.Interface(
fn=execute_snippet,
inputs=[
gr.Textbox(
show_label=True,
label="Code",
max_lines=4_294_967_295,
lines=4_294_967_295,
value=DEF_SNIPPET,
),
gr.Dropdown(
show_label=True,
label="Language",
choices=["Python", "Java", "C", "C++", "C#", "PHP", "Bash", "Zsh"],
value=DEF_LANG
),
],
outputs=gr.Textbox(label="Result"),
title="HFChat Code Executor",
description="Enter the code snippet and language that you want to execute.",
)
demo.launch()
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