基于Erniebot搭建学习&绘图网站

安装erniebot 需要python3.8 以上，实际运⾏时需要openssl 1.1 以上

import erniebot 
# 定义使⽤的令牌为aistudio平台的，这是访问⽂⼼⼀⾔API的必要凭证 
erniebot.api_type = 'aistudio' 
# 引⼊⾃⼰的令牌，该令牌⽤于验证API请求的身份 
# 注意：此处的令牌是⼀个示例，实际使⽤时需要替换成⾃⼰的令牌 
erniebot.access_token = "从https://aistudio.baidu.com/index/accessToken获取" 
# 定义使⽤的模型是ernie-bot，这是文心一言的⼀个模型 
# 查看⽀持的模型 
# List supported models 
models = erniebot.Model.list() 
[ 
    ('ernie-3.5', '⽂⼼⼤模型（ernie-3.5）'), 
    ('ernie-turbo', '⽂⼼⼤模型（ernie-turbo）'), 
    ('ernie-4.0', '⽂⼼⼤模型（ernie-4.0）'), 
    ('ernie-longtext', '⽂⼼⼤模型（ernie-longtext）'), 
    ('ernie-text-embedding', '⽂⼼百中语义模型'), 
    ('ernie-vilg-v2', '⽂⼼⼀格模型')
]
print(models)
# ernie-bot ⽂⼼⼀⾔旗舰版
# ernie-bot-turbo ⽂⼼⼀⾔轻量版
# ernie-text-embedding ⽂⼼百中语义模型
# ernie-vilg-v2 ⽂⼼⼀格模型
model = 'ernie-3.5'
# 定义prompt
message_content = "The task scenario is: I need you to refine the knowledge points
I provide into four small modules to help me learn. " \
 "The best way to refine is to follow a good learning path, and
you need to stand from the perspective of a teacher to help me learn the knowledge
well. " \
 f"-对每个模块进⾏介绍，让读者能够直观的知道该模块的学习内容 我提供的知识点为：{question} " \
 "-示例json⽂件如下，参考它的格式：[{\"模块主题\": \"\", \"本模块内容简介
\": \"\"},] " \
 "- Strictly follow the format I provided " \
 "- 每个模块的介绍在30个中⽂汉字左右。 " \
 "- The output is just pure JSON format, with no other descriptions."
# 将⽂本和其他参数封装成消息，便于传给⽂⼼
messages = [{
     'role': 'user', # ⽤户的⻆⾊
     'top_p': '0.001', # ⽂⼼⼀⾔⽣成⽂本时的参数，控制⽣成的多样性
     'content': message_content # 传输的⽂本内容
 }]
# 调用文心一言的ChatCompletion.create⽅法，将封装好的消息和其他参数传递给文心，以获取精炼后的知
识点模块
response = erniebot.ChatCompletion.create(
    model=model, # 使⽤的模型
    messages=messages, # 传输的消息
)
# 将返回的精炼后的知识点模块的⽂本内容赋值给answer变量
answer = response.result

# 发送请求 
url = "https://aip.baidubce.com/rpc/2.0/ernievilg/v1/txt2img?access_token=****" 
payload = json.dumps({ 
    "text": query, 
     "resolution": "1024*1024", 
     "style": "写实⻛格" 
}) 
headers = { 
     'Content-Type': 'application/json', 
     'Accept': 'application/json' 
} 
response = requests.request("POST", url, headers=headers, data=payload) 
data = response.json() 
taskId = data["data"]["taskId"] 

# 查询结果 
url = "https://aip.baidubce.com/rpc/2.0/ernievilg/v1/getImg?access_token=****" 
payload = json.dumps({
    "taskId": taskId 
})
headers = {
    'Content-Type': 'application/json',
    'Accept': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
if response.status_code == 200: 
    data = response.json()["data"]
    return data.get('img', None)
return None

python manage.py runserver host:port

streamlit：基于⽂⼼⼀⾔API的⽂档知识问答系统_AI应⽤-⻜桨AI Studio星河社区
gradio: Gradio应⽤介绍与零基础部署实践 - ⻜桨AI Studio星河社区 (https://aistudio.baidu.com/projectdetail/6536645)