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Runtime error
| import gradio as gr | |
| import os | |
| from huggingface_hub import login | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| login(os.getenv("Write")) | |
| # Load your model and tokenizer | |
| model_name = "distilgpt2" # Change to your model | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| # Function to generate SEO-optimized content | |
| def generate_content(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| # Set up the Gradio interface | |
| iface = gr.Interface(fn=generate_content, inputs="text", outputs="text") | |
| iface.launch() | |