| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline | |
| title = "SantaCoder 🎅 bash/shell 🐚 Completion" | |
| description = "This is a subspace to make code generation with [SantaCoder fine-tuned on The Stack bash/shell](https://huggingface.co/mrm8488/santacoder-finetuned-the-stack-bash-4)" | |
| EXAMPLE_0 = "#!/bin/bash\n# This script removes files larger than 2MB in the current folder\nfind ." | |
| EXAMPLE_1 = "#!/bin/bash\n\n# This script send an email\nto=”admin@example.com”\nsubject=”Greeting”\nmsg=”Welcome to our site”\n" | |
| EXAMPLE_3 = "#!/bin/bash\n# This script convert avi files to mp4\nfor filename in $(ls *.avi); do\n" | |
| EXAMPLE_4 = "#!/bin/bash\nsource=$1\ndest=$2\n# copy source on dest\n" | |
| EXAMPLE_5 = """#!/bin/bash\n\n# This script check if the arg passed as first arg is a founder of huggingface\nfounders_array=("julien" "thom" "clem")""" | |
| examples = [[EXAMPLE_0, 14, 0.6, 42], [EXAMPLE_1, 28, 0.6, 42], [EXAMPLE_3, 46, 0.6, 42], [EXAMPLE_4, 35, 0.6, 43], [EXAMPLE_5, 70, 0.6, 43]] | |
| tokenizer = AutoTokenizer.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4") | |
| model = AutoModelForCausalLM.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4", trust_remote_code=True) | |
| def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42): | |
| set_seed(seed) | |
| pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) | |
| generated_text = pipe(gen_prompt, do_sample=True, top_p=0.95, temperature=temperature, max_new_tokens=max_tokens)[0]['generated_text'] | |
| return generated_text | |
| iface = gr.Interface( | |
| fn=code_generation, | |
| inputs=[ | |
| gr.Textbox(lines=10, label="Input code"), | |
| gr.inputs.Slider( | |
| minimum=8, | |
| maximum=256, | |
| step=1, | |
| default=8, | |
| label="Number of tokens to generate", | |
| ), | |
| gr.inputs.Slider( | |
| minimum=0, | |
| maximum=2, | |
| step=0.1, | |
| default=0.6, | |
| label="Temperature", | |
| ), | |
| gr.inputs.Slider( | |
| minimum=0, | |
| maximum=1000, | |
| step=1, | |
| default=42, | |
| label="Random seed to use for the generation" | |
| ) | |
| ], | |
| outputs=gr.Textbox(label="Predicted code", lines=10), | |
| examples=examples, | |
| layout="horizontal", | |
| theme="peach", | |
| description=description, | |
| title=title | |
| ) | |
| iface.launch() |