Text Generation

1
from openai import OpenAI
2
3
client = OpenAI(
4
    base_url="https://api.neura-ai.app/v1"
5
)
6
7
response = client.chat.completions.create(
8
    model="mistral-medium-latest",
9
    messages=[
10
        {"role": "user", "content": "Explain quantum computing in simple terms"}
11
    ],
12
    temperature=0.7
13
)
14
15
print(response.choices[0].message.content)

1
# More focused and deterministic
2
response = client.chat.completions.create(
3
    model="gpt-5",
4
    messages=[{"role": "user", "content": "What is 2+2?"}],
5
    temperature=0.1
6
)
7
8
# More creative and varied
9
response = client.chat.completions.create(
10
    model="gpt-5", 
11
    messages=[{"role": "user", "content": "Write a creative story opening"}],
12
    temperature=1.5
13
)

1
response = client.chat.completions.create(
2
    model="gpt-5",
3
    messages=[
4
        {
5
            "role": "system", 
6
            "content": "You are a helpful coding assistant specializing in Python"
7
        },
8
        {
9
            "role": "user",
10
            "content": "How do I read a CSV file?"
11
        }
12
    ]
13
)

1
response = client.chat.completions.create(
2
    model="gpt-5",
3
    messages=[{
4
        "role": "user",
5
        "content": "Write a Python function to calculate fibonacci numbers with memoization"
6
    }],
7
    temperature=0.2
8
)

1
long_article = "..." # Your long text here
2
3
response = client.chat.completions.create(
4
    model="mistral-medium-latest",
5
    messages=[{
6
        "role": "user",
7
        "content": f"Provide a concise summary of this article:\n\n{long_article}"
8
    }],
9
    temperature=0.3
10
)

1
response = client.chat.completions.create(
2
    model="gpt-5",
3
    messages=[{
4
        "role": "user",
5
        "content": "Generate a JSON object with 5 fake user profiles including name, email, and age"
6
    }],
7
    temperature=0.7
8
)

1
stream = client.chat.completions.create(
2
    model="gpt-5",
3
    messages=[{"role": "user", "content": "Write a poem about the ocean"}],
4
    stream=True
5
)
6
7
for chunk in stream:
8
    if chunk.choices[0].delta.content is not None:
9
        print(chunk.choices[0].delta.content, end="")