import json import os import gradio as gr import requests APIKEY = os.environ.get("APIKEY") APISECRET = os.environ.get("APISECRET") def predict(prompt, lang, seed, out_seq_length, temperature, top_k, top_p): global APIKEY global APISECRET if prompt == '': return 'Input should not be empty!' url = 'https://tianqi.aminer.cn/api/v2/multilingual_code_generate_block' payload = json.dumps({ "apikey" : APIKEY, "apisecret" : APISECRET, "prompt" : prompt, "lang" : lang, "out_seq_length": out_seq_length, "seed" : seed, "temperature" : temperature, "top_k" : top_k, "top_p" : top_p, }) headers = { 'Content-Type': 'application/json' } try: response = requests.request("POST", url, headers=headers, data=payload, timeout=(20, 100)).json() except Exception as e: return 'Timeout! Please wait a few minutes and retry' if response['status'] == 1: return response['message'] answer = response['result']['output']['code'][0] return prompt + answer def main(): gr.close_all() examples = [] with open("./example_inputs.jsonl", "r") as f: for line in f: examples.append(list(json.loads(line).values())) with gr.Blocks() as demo: gr.Markdown( """ """) gr.Markdown( """
🏠 Homepage | 📖 Blog | 🪧 DEMO | 🛠 VS Code Extension | 💻 Source code | 🤖 Download Model
""") gr.Markdown( """ We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. CodeGeeX supports 15+ programming languages for both code generation and translation. CodeGeeX is open source, please refer to our [GitHub](https://github.com/THUDM/CodeGeeX) for more details. This is a minimal-functional DEMO, for other DEMOs like code translation, please visit our [Homepage](https://models.aminer.cn/codegeex/). We also offer a free [VS Code extension](https://marketplace.visualstudio.com/items?itemName=aminer.codegeex) for full functionality. """) with gr.Row(): with gr.Column(): prompt = gr.Textbox(lines=13, placeholder='Please enter the description or select an example input below.',label='Input') with gr.Row(): gen = gr.Button("Generate") clr = gr.Button("Clear") outputs = gr.Textbox(lines=15, label='Output') gr.Markdown( """ Generation Parameter """) with gr.Row(): with gr.Column(): lang = gr.Radio( choices=["C++", "C", "C#", "Python", "Java", "HTML", "PHP", "JavaScript", "TypeScript", "Go", "Rust", "SQL", "Kotlin", "R", "Fortran"], value='lang', label='Programming Language', default="Python") with gr.Column(): seed = gr.Slider(maximum=10000, value=8888, step=1, label='Seed') with gr.Row(): out_seq_length = gr.Slider(maximum=1024, value=128, minimum=1, step=1, label='Output Sequence Length') temperature = gr.Slider(maximum=1, value=0.2, minimum=0, label='Temperature') with gr.Row(): top_k = gr.Slider(maximum=40, value=0, minimum=0, step=1, label='Top K') top_p = gr.Slider(maximum=1, value=1.0, minimum=0, label='Top P') inputs = [prompt, lang, seed, out_seq_length, temperature, top_k, top_p] gen.click(fn=predict, inputs=inputs, outputs=outputs) clr.click(fn=lambda value: gr.update(value=""), inputs=clr, outputs=prompt) gr_examples = gr.Examples(examples=examples, inputs=[prompt, lang], label="Example Inputs (Click to insert an examplet it into the input box)", examples_per_page=20) demo.launch() if __name__ == '__main__': main()