intent_classifier.py

from transformers import pipeline
from config import MODEL_NAME, INTENT_LABELS

# Load zero-shot classification pipeline
classifier = pipeline("zero-shot-classification", model=MODEL_NAME)

def classify_conversation(conversation_text):
    result = classifier(conversation_text, INTENT_LABELS)
    top_label = result['labels'][0]
    rationale = f"Conversation was classified as '{top_label}' because the final messages indicate a likely intent of {top_label.lower()}."
    return top_label, rationale