Résumer et modifier du texte

Travailler avec DeepSeek en Python

James Chapman

AI Curriculum Lead, DataCamp

En résumé…

Questions-réponses

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4-Pro-0813",
  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...

Modification de texte

Exemple : mise à jour du nom, des pronoms et du titre de poste

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.
"""

Modification de texte

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro-0813",

    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!

Résumé de texte

Exemple : résumé d'échanges de clavardage client

Équipe de soutien à la clientèle

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?  
...
"""

Résumé de texte

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


response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4-Pro-0813",
  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.

Contrôler la longueur de la réponse

max_tokens = 5

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4-Pro-0813",
  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-Pro-0813",
    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.**

Comprendre les jetons

Jetons : unités de texte qui aident l'IA à comprendre et interpréter le texte

La phrase « How can the OpenAI API deliver business value? », chaque jeton étant surligné d'une couleur différente.

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

Calculer le coût

Les coûts d'utilisation de l'API dépendent de la plateforme, du modèle et du nombre de jetons 💰
- Les modèles sont tarifés au coût/jeton
- Les jetons d'entrée et de sortie peuvent coûter différemment
Augmenter max_tokens augmente le coût 📈

Screenshot 2025-03-05 at 11.46.54.png

Calculer le coût

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-Pro-0813",
    messages=[{"role": "user", "content": prompt}], 
    max_tokens=max_tokens
)

Calculer le coût

# 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

Passons à la pratique !

Travailler avec DeepSeek en Python