Create app.py

app.py

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+from transformers import MarianMTModel, MarianTokenizer
+import gradio as gr
+
+# Load model
+model_name = "Helsinki-NLP/opus-mt-en-ur"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+# Translation function
+def translate_text(text):
+    tokens = tokenizer(text, return_tensors="pt", padding=True)
+    translated = model.generate(**tokens)
+    result = tokenizer.decode(translated[0], skip_special_tokens=True)
+    return result
+
+# Gradio UI
+interface = gr.Interface(
+    fn=translate_text,
+    inputs=gr.Textbox(lines=4, placeholder="Enter English text here..."),
+    outputs="text",
+    title="English to Urdu Translator",
+    description="Translate English text into Urdu instantly."
+)
+
+interface.launch()