Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
+# Load model and tokenizer (this one detects Arabic dialects)
+model_name = "badrex/mms-300m-arabic-dialect-identifier"
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+clf = pipeline("text-classification", model=model, tokenizer=tokenizer)
+
+def detect_dialect(text):
+    results = clf(text)
+    label = results[0]['label']
+    score = round(results[0]['score'], 3)
+    return f"Dialect: {label} (confidence {score})"
+
+demo = gr.Interface(fn=detect_dialect,
+                    inputs=gr.Textbox(label="Arabic text"),
+                    outputs="text",
+                    title="Arabic Accent Identifier",
+                    description="Detects Arabic dialects such as Egyptian, Gulf, Levantine, etc.")
+
+demo.launch()