File size: 710 Bytes
b814c5a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7b414ac
b814c5a
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
import ollama


def classify_intent(question):

    prompt = f"""

Classify the user message.



Possible labels:



- chat

- dataset_question



Rules:



chat:

- greetings

- small talk

- thanks

- introductions

- general conversation



dataset_question:

- any question requiring dataset analysis

- statistics

- charts

- correlations

- rows

- columns

- sales

- business insights



Message:

{question}



Return ONLY one label.

"""

    response = ollama.chat(
        model="qwen2.5:3b",
        messages=[
            {
                "role": "user",
                "content": prompt
            }
        ]
    )

    return response["message"]["content"].strip().lower()