from openai import OpenAI
import os
 
client = OpenAI(
    api_key="CAMELAI_API_KEY", # 换成你在后台生成的 Key "sk-***"
    base_url="https://api.kr777.top"
)
 
response = client.embeddings.create(
    input="Your text string goes here",
    model="gemini-embedding-001"
)
 
print(response.data[0].embedding)

from openai import OpenAI
import os
 
client = OpenAI(
    api_key="CAMELAI_API_KEY", # 换成你在后台生成的 Key "sk-***"
    base_url="https://api.kr777.top"
)
 
# Read file
def read_whimery_file():
    try:
        with open('yourpath/file.md', 'r', encoding='utf-8') as file:
            return file.read()
    except Exception as e:
        print(f"Error reading file: {e}")
        return None
 
# Read the content and create embeddings
content = read_whimery_file()
if content:
    response = client.embeddings.create(
        input=content,
        model="gemini-embedding-001"
    )
    
    print("File content successfully processed into embeddings")
    print(f"Embedding dimensions: {len(response.data[0].embedding)}")
    print("First 10 embedding values:", response.data[0].embedding)
else:
    print("Failed to read file content")