app.py

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 👻  [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](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")

@spaces.GPU  
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()