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| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| model_name = "Salesforce/codegen-350M-multi" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| def generate_code(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=128) | |
| code = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| return code | |
| iface = gr.Interface( | |
| fn=generate_code, | |
| inputs=gr.Textbox(lines=2, placeholder="Describe what you want in code..."), | |
| outputs="text", | |
| title="Super AI Coder Bot" | |
| ) | |
| iface.launch() | |