텍스트 요약 및 편집

Python으로 DeepSeek 활용하기

James Chapman

AI Curriculum Lead, DataCamp

복습...

Q&A

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4.1-Flash",
  messages=[{"role": "user", "content": "How many days are in October?"}]
)

print(response.choices[0].message.content)

October has **31 days**.  

It's one of the seven months in the Gregorian calendar with 31 days...

텍스트 편집

예시: 이름, 대명사, 직함 업데이트

prompt = """
Update name to Maarten, pronouns to he/him, and job title to Senior Content Developer
in the following text:

Joanne is a Content Developer at DataCamp. Her favorite programming language is R,
which she uses for her statistical analyses.
"""

텍스트 편집

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4.1-Flash",

    messages=[{"role": "user", "content": prompt}]

)

print(response.choices[0].message.content)

Here's the updated text with the requested changes:

Maarten is a Senior Content Developer at DataCamp. His favorite programming language
is R, which he uses for his statistical analyses.

Let me know if you'd like any further adjustments!

텍스트 요약

예시: 고객 채팅 기록 요약

고객 지원팀

text = """
Customer: Hi, I'm trying to log into 
my account, but it keeps saying 
my password is incorrect. I'm sure 
I'm entering the right one.  

Support: I'm sorry to hear that! 
Have you tried resetting your password?  
...
"""

텍스트 요약

prompt = f"""Summarize the customer support chat 
             in three concise key points: {text}"""


response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4.1-Flash",
  messages=[{"role": "user", "content": prompt}]
)
print(response.choices[0].message.content)

1. **Login Issue**: Customer couldn't log in due to a password issue and missing reset link.  
2. **Password Reset Suggestion**: Support resent the reset email after confirming it was sent.  
3. **Prompt Assistance**: Customer resolved the issue by using Google sign-in.

응답 길이 제어

max_tokens = 5

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4.1-Flash",
  messages=[{"role":"user",
      "content":"Write a haiku about AI."}],
  max_tokens=5
)

**Silent circuits hum

max_tokens = 30

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4.1-Flash",
    messages=[{"role":"user",
      "content":"Write a haiku about AI."}],
    max_tokens=30
)

**Silent circuits hum,**  
**thoughts of light and logic bloom—**  
**minds beyond our own.**

토큰 이해하기

토큰: AI가 텍스트를 이해하고 해석하도록 돕는 텍스트 단위

문장 "How can the OpenAI API deliver business value?"에서 각 토큰이 서로 다른 색으로 강조 표시된 모습

¹ https://lunary.ai/deepseek-tokenizer

비용 계산하기

API 사용 비용은 플랫폼, 모델, 토큰 수에 따라 달라집니다 💰
- 모델은 비용/토큰 기준으로 가격이 책정됩니다
- 입력 토큰과 출력 토큰의 비용이 다를 수 있습니다
max_tokens를 늘리면 비용이 증가합니다 📈

Screenshot 2025-03-05 at 11.46.54.png

비용 계산하기

prompt = f"""Summarize the customer support chat 
             in three concise key points: {text}"""

max_tokens = 500

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4.1-Flash",
    messages=[{"role": "user", "content": prompt}], 
    max_tokens=max_tokens
)

비용 계산하기

# Define price per token
input_token_price = 2.1 / 1_000_000
output_token_price = 4.4 / 1_000_000

# Extract token usage
input_tokens = response.usage.prompt_tokens

output_tokens = max_tokens

# Calculate cost
cost = (input_tokens * input_token_price + output_tokens * output_token_price)
print(f"Estimated cost: ${cost}")

Estimated cost: $0.0153964

연습해 봅시다!

Python으로 DeepSeek 활용하기