| from transformers import pipeline | |
| # Load the Hugging Face pipeline for text generation | |
| pipe = pipeline("text-generation", model="meta-llama/Llama-3.2-1B") | |
| def generate_content(topic: str): | |
| """Generate AI content using Hugging Face pipeline.""" | |
| prompt = f"Create a detailed and engaging YouTube script about: {topic}" | |
| # Generate content | |
| generated_text = generator(prompt, max_length=500, num_return_sequences=1, temperature=0.7, top_p=0.9) | |
| # Extract the generated text (it's a list of dicts) | |
| return generated_text[0]['generated_text'] | |