Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="production_model")
+
+def detect_language(text):
+    result = classifier(text)[0]
+    
+    label = result['label']
+    score = result['score']
+    
+    if label == "en":
+        return f"English 🇬🇧 ({score:.1%} confidence)"
+    elif label == "fr":
+        return f"French 🇫🇷 ({score:.1%} confidence)"
+    elif label == "es":
+        return f"Spanish 🇪🇸 ({score:.1%} confidence)"
+    elif label == "de":
+        return f"German 🇩🇪 ({score:.1%} confidence)"
+    else:
+        return f"{label} ({score:.1%} confidence)"
+
+demo = gr.Interface(
+    fn=detect_language,
+    inputs=gr.Textbox(label="Input Text", placeholder="Type a sentence (e.g., 'Guten Morgen')..."),
+    outputs=gr.Textbox(label="Analysis Result"),
+    title="Language Detector (4 Languages)",
+    description="This model was fine-tuned on the 'papluca/language-identification' dataset. It can now detect English, French, Spanish, and German."
+)
+
+demo.launch()