app.py

import gradio as gr
from transformers import pipeline

# Initialize the language detection pipeline
language_detector = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")

# Function to detect language
def detect_language(sentence):
    result = language_detector(sentence)
    return result[0]['label']

# Gradio interface
iface = gr.Interface(
    fn=detect_language,
    inputs=gr.Textbox(label="Input Sentence"),
    outputs=gr.Textbox(label="Detected Language")
)

# Launch the interface
iface.launch()