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| import spaces | |
| import gradio as gr | |
| import torch | |
| import transformers | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import os | |
| title = """# Welcome to 🌟Tonic's✨StarCoder | |
| ✨StarCoder StarCoder2-15B model is a 15B parameter model trained on 600+ programming languages from The Stack v2, with opt-out requests excluded. The model uses Grouped Query Attention, a context window of 16,384 tokens with a sliding window attention of 4,096 tokens, and was trained using the Fill-in-the-Middle objective on 4+ trillion tokens. The model was trained with NVIDIA NeMo™ Framework using the NVIDIA Eos Supercomputer built with NVIDIA DGX H100 systems. You can build with this endpoint using✨StarCoder available here : [bigcode/starcoder2-15b](https://huggingface.co./bigcode/starcoder2-15b). You can also use ✨StarCoder by cloning this space. Simply click here: <a style="display:inline-block" href="https://huggingface.co./spaces/Tonic/starcoder2?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:[MultiTransformer](https://huggingface.co./MultiTransformer) Math 🔍 [introspector](https://huggingface.co./introspector) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [SciTonic](https://github.com/Tonic-AI/scitonic)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗 | |
| """ | |
| default_system_prompt = """SYSTEM: You are an AI that code. Answer with code.""" | |
| model_path = "bigcode/starcoder2-15b" | |
| hf_token = os.getenv("HF_TOKEN") | |
| if not hf_token: | |
| raise ValueError("Hugging Face token not found. Please set the HF_TOKEN environment variable.") | |
| model = AutoModelForCausalLM.from_pretrained( | |
| model_path, | |
| torch_dtype=torch.bfloat16, | |
| device_map="auto", | |
| # trust_remote_code=True, | |
| token=hf_token, | |
| ) | |
| tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True) | |
| # import gradio as gr | |
| # from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig | |
| # checkpoint = "bigcode/starcoder2-15b" | |
| # quantization_config = BitsAndBytesConfig(load_in_8bit=True) | |
| # tokenizer = AutoTokenizer.from_pretrained(checkpoint) | |
| # model = AutoModelForCausalLM.from_pretrained(checkpoint, quantization_config=quantization_config).to("cuda") | |
| def generate_text(prompt, temperature, max_length): | |
| inputs = tokenizer.encode(prompt, return_tensors="pt").to("cuda") | |
| outputs = model.generate(inputs, max_length=max_length, top_p=0.9, temperature=temperature) | |
| return tokenizer.decode(outputs[0]) | |
| def gradio_app(): | |
| with gr.Blocks() as demo: | |
| gr.Markdown(title) | |
| output = gr.Code(label="Generated Code", lines=40) | |
| with gr.Row(): | |
| generate_btn = gr.Button("Generate") | |
| with gr.Row(): | |
| temperature = gr.Slider(minimum=0.1, maximum=1.0, step=0.1, value=0.5, label="Temperature") | |
| max_length = gr.Slider(minimum=100, maximum=1024, step=10, value=100, label="Generate Length") | |
| with gr.Row(): | |
| prompt = gr.Textbox(label="Enter your code prompt", placeholder="def print_hello_world():") | |
| generate_btn.click( | |
| fn=generate_text, | |
| inputs=[prompt, temperature, max_length], | |
| outputs=output | |
| ) | |
| demo.launch() |