from transformers import pipeline

# ────────────────────────────────────────────────────────────────
# 6. Translation (example: English → Hindi)
# ────────────────────────────────────────────────────────────────
# No universal default → always specify model
#
# Popular choice: Helsinki-NLP/opus-mt-en-hi
#   → Used for: good quality general-domain English→Hindi translation
#              fast & reliable for everyday sentences
#
# Better alternative (2025+): facebook/mbart-large-50-many-to-many-mmt
#   → Used for: many-to-many (50 languages), better with low-resource pairs

pipe = pipeline("translation_en_to_hi", model="Helsinki-NLP/opus-mt-en-hi")
# pipe = pipeline("translation", model="facebook/mbart-large-50-many-to-many-mmt", src_lang="en_XX", tgt_lang="hi_IN")

print(pipe("Hello from Ludhiana, the city of cycles!")[0]["translation_text"])