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()