Spaces:
Running
Running
| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| model_id = "OSS-Forge/codet5p-770m-vhdl" | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_id) | |
| def generate_vhdl(description): | |
| inputs = tokenizer(description, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=256) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| iface = gr.Interface( | |
| fn=generate_vhdl, | |
| inputs=gr.Textbox(lines=4, label="Enter VHDL description"), | |
| outputs=gr.Textbox(lines=12, label="Generated VHDL"), | |
| title="VHDL Code Generator", | |
| ) | |
| iface.launch() |