Create app.py

app.py

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+import gradio as gr
+from transformers import MarianMTModel, MarianTokenizer
+
+model_name = "Helsinki-NLP/opus-mt-en-te"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+def translate(text):
+    if not text.strip():
+        return "Please enter English text."
+    inputs = tokenizer(text, return_tensors="pt", padding=True)
+    translated = model.generate(**inputs)
+    output = tokenizer.decode(translated[0], skip_special_tokens=True)
+    return output
+
+demo = gr.Interface(fn=translate,
+                    inputs="text",
+                    outputs="text",
+                    title="English to Telugu Translator",
+                    description="Enter English text to get Telugu translation.")
+
+demo.launch()