# from transformers import BloomTokenizerFast, BloomForCausalLM, pipeline


# text="اكتب مقالا من عدة أسطر عن الذكاء الصناعي وتطوراته"
# prompt = f'Instruction:\n{text}\n\nResponse:'

# model = BloomForCausalLM.from_pretrained('Naseej/noon-7b')

# tokenizer = BloomTokenizerFast.from_pretrained('Naseej/noon-7b')

# generation_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)

# # We recommend the provided hyperparameters for generation
# # But encourage you to try different values
# response = generation_pipeline(prompt,
#     pad_token_id=tokenizer.eos_token_id,
#     do_sample=False,
#     num_beams=4,
#     max_length=500,
#     top_p=0.1,
#     top_k=20,
#     repetition_penalty = 3.0,
#     no_repeat_ngram_size=3)[0]['generated_text'] 

# print(response)