Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your model from the Hugging Face repository
+model_name = "SLPG/English_to_Urdu_Unsupervised_MT"
+translator = pipeline("translation", model=model_name)
+
+# Define the translation function
+def translate_text(input_text):
+    result = translator(input_text, max_length=400)
+    return result[0]['translation_text']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=translate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text to translate"),
+    outputs="text",
+    title="Translation Model Inference",
+    description="Translate text using the Hugging Face translation model."
+)
+
+# Launch the interface
+interface.launch()