Spaces:
Sleeping
Sleeping
| import spaces | |
| import gradio as gr | |
| import torch | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| title = "# 👋🏻Welcome to🌟Tonic's⚖️StableCode2" | |
| description = """⚖️StableCode2 is a small sized coding llm that performs well in python ! You can also use [⚖️stabilityai/stable-code-3b](https://huggingface.co/stabilityai/stable-code-3b) by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/stablecode2?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> | |
| Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community 👻 [](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to 🌟 [DataTonic](https://github.com/Tonic-AI/DataTonic) 🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗 | |
| To contribute to this space make a PR with a new example or cool new use-case for this one 🤗 | |
| """ | |
| tokenizer = AutoTokenizer.from_pretrained( | |
| "stabilityai/stable-code-3b", trust_remote_code=True) | |
| model = AutoModelForCausalLM.from_pretrained( | |
| "stabilityai/stable-code-3b", | |
| trust_remote_code=True, | |
| torch_dtype="auto", | |
| # attn_implementation="flash_attention_2", | |
| ).to("cuda" if torch.cuda.is_available() else "cpu") | |
| def generate_code(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt").to(model.device) | |
| tokens = model.generate( | |
| **inputs, | |
| max_new_tokens=650, | |
| temperature=0.3, | |
| do_sample=True, | |
| ) | |
| generated_code = tokenizer.decode(tokens[0], skip_special_tokens=True) | |
| return generated_code | |
| with gr.Blocks() as demo: | |
| gr.Markdown(title) | |
| gr.Markdown(description) | |
| with gr.Row(): | |
| prompt = gr.Textbox(lines=2, placeholder="Enter your Python code prompt") | |
| output = gr.Textbox(label = "⚖️StableCode2") | |
| generate_button = gr.Button("Generate") | |
| generate_button.click(fn=generate_code, inputs=prompt, outputs=output) | |
| demo.launch() | |