from transformers import AutoTokenizer import transformers import os import sys import fire import torch import gradio as gr MAGICODER_PROMPT = """You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions. @@ Instruction {instruction} @@ Response """ title = "

🎩 Magicoder

" description = """This is a playground for Magicoder-S-DS-6.7B! Follow us on Github: https://github.com/ise-uiuc/magicoder and Huggingface: https://huggingface.co/ise-uiuc. 💡 Tips: You can include more details in your instruction for Magicoder to write better code for you! Details can be, but not limited to, as follows: 1. Specify your programming language (e.g., "... in Python" and "... in Java") 2. Specify the external libraries/packages that are necessary in your task (e.g., "... using the turtle library" and "Write a gradio application to ...") 3. Demonstrate your requirements as clear and comprehensive as possible (e.g., "use CNN as the model structure" and "draw a chart of the training loss")""" def main( base_model="ise-uiuc/Magicoder-S-DS-6.7B" ): pipeline = transformers.pipeline( "text-generation", model=base_model, torch_dtype=torch.bfloat16, device_map="auto" ) def evaluate_magicoder( instruction, temperature=1, max_length=2048, ): prompt = MAGICODER_PROMPT.format(instruction=instruction) if temperature > 0: sequences = pipeline( prompt, do_sample=True, temperature=temperature, max_length=max_length, ) else: sequences = pipeline( prompt, max_length=max_length, ) for seq in sequences: generated_text = seq["generated_text"].replace(prompt, "") return generated_text with gr.Blocks() as demo: gr.Markdown(title) gr.Markdown(description) with gr.Row(equal_height=False): with gr.Column(variant="panel"): interface_input = gr.Textbox( lines=3, label="Instruction", placeholder="Anything you want to ask Magicoder ?", value="Write a snake game in Python using the turtle library (the game is created by Magicoder).", ) temperature = gr.Slider(minimum=0, maximum=1, value=0, label="Temperature") max_new_tokens = gr.Slider( minimum=1, maximum=2048, step=1, value=2048, label="Max tokens" ) submit = gr.Button("Submit", variant="primary") gr.Examples( examples=[ ["Write a snake game in Python using the turtle library (the game is created by Magicoder)."], ["Build a console-based Othello game in Java with row and column numbers shown on the board. The game should end when there are no more valid moves for either player."], ["Write a gradio (3.48.0) application for the following use case: Take an input image and return a 45 degree clockwise rotated image. You should also add text description under the output showing the rotation degree."], ["Build a simple neural network in Python using Pytorch to classify handwritten digits from the MNIST dataset. You should use CNN as the model structure, train the model for 5 epochs, draw a chart of the training loss, and show the final result."], ], inputs = [interface_input] ) output = gr.Textbox( lines=30, label="Output", ) submit.click( evaluate_magicoder, inputs=[interface_input, temperature, max_new_tokens], outputs=[output], ) demo.queue().launch(share=True) if __name__ == "__main__": fire.Fire(main)