| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| model_id = "Rochana09/Structura" | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForCausalLM.from_pretrained(model_id) | |
| def generate(text): | |
| inputs = tokenizer(text, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=100) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| gr.Interface( | |
| fn=generate, | |
| inputs="text", | |
| outputs="text", | |
| title="Structura" | |
| ).launch() |