Create app.py

app.py

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+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 for detecting language
+def detect_language(text):
+    result = language_detector(text)
+    return result[0]['label']
+
+    # Define example inputs in multiple languages
+
+examples = [
+    ["Hello, how are you?"],  # English
+    ["Bonjour, comment ça va?"],  # French
+    ["Hola, ¿cómo estás?"],  # Spanish
+    ["مرحبًا كيف حالك؟"],  # Arabic
+]
+
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=detect_language,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs=gr.Textbox(label="Detected Language"),
+    title="Language Detection",
+    description="Enter text in any language, and the model will identify the language.",
+    examples=examples
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    iface.launch()