Create app.py

app.py

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+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)