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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(
"""
<img src="https://raw.githubusercontent.com/THUDM/CodeGeeX/main/resources/logo/codegeex_logo.png">
""")
gr.Markdown(
"""
<p align="center">
🏠 <a href="https://codegeex.cn" target="_blank">Homepage</a> | 📖 <a href="http://keg.cs.tsinghua.edu.cn/codegeex/" target="_blank">Blog</a> | 🪧 <a href="https://codegeex.cn/playground" target="_blank">DEMO</a> | 🛠 <a href="https://marketplace.visualstudio.com/items?itemName=aminer.codegeex" target="_blank">VS Code</a> or <a href="https://plugins.jetbrains.com/plugin/20587-codegeex" target="_blank">Jetbrains</a> Extensions | 💻 <a href="https://github.com/THUDM/CodeGeeX" target="_blank">Source code</a> | 🤖 <a href="https://models.aminer.cn/codegeex/download/request" target="_blank">Download Model</a>
</p>
""")
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://codegeex.cn). We also offer free [VS Code](https://marketplace.visualstudio.com/items?itemName=aminer.codegeex) or [Jetbrains](https://plugins.jetbrains.com/plugin/20587-codegeex) extensions 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() |