| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import gradio as gr | |
| model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") | |
| tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") | |
| def generate_code(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=200) | |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| gr.Interface( | |
| fn=generate_code, | |
| inputs="text", | |
| outputs="text", | |
| title="DeepSeek Coder 1.3B" | |
| ).launch() |