Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import MarianMTModel, MarianTokenizer
+
+# Load the pre-trained translation 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):
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    translated = model.generate(**inputs)
+    result = tokenizer.batch_decode(translated, skip_special_tokens=True)
+    return result[0]
+
+# Create Gradio Interface
+interface = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(label="Enter English Text"),
+    outputs=gr.Textbox(label="Translated Urdu Text"),
+    title="English to Urdu Translator",
+    description="Enter text in English and get its Urdu translation."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch(share=True)