Create app.py

app.py

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+import torch
+from transformers import *
+model_name = 'Helsinki-NLP/opus-mt-en-hi'
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+model.to(device)
+def translate_english_to_telugu(text):
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=512).to(device)
+    translation = model.generate(**inputs)
+    translated_text = tokenizer.decode(translation[0], skip_special_tokens=True)
+    return translated_text
+input_text = input('Enter text: ')
+translated_text = translate_english_to_telugu(input_text)
+print('Hindi translation: ', translated_text)