app.py

import gradio as gr
import re
import textstat
from langdetect import detect

def text_analysis(text):
    # Analyze text: word count, character count, language detection, and readability
    words = re.findall(r'\w+', text.lower())
    sentences = re.split(r'[.!?]+', text)
    num_sentences = len(sentences) - 1
    num_words = len(words)
    num_chars = len("".join(words))
    reading_ease = textstat.flesch_reading_ease(text)
    language = detect(text)

    # Format the results
    return {
        "Language": language,
        "Sentences": num_sentences,
        "Words": num_words,
        "Characters": num_chars,
        "Readability (Flesch Reading Ease)": reading_ease
    }

# Define an interface for text analysis
text_analysis_interface = gr.Interface(fn=text_analysis, 
                                       inputs=gr.Textbox(lines=4, placeholder="Type something here..."), 
                                       outputs=gr.JSON(label="Text Analysis"))

# Launch the interface
if __name__ == "__main__":
    text_analysis_interface.launch()