models.py

# models.py
from transformers import pipeline

# Load all models here
def load_sentiment_model():
    """Loads the sentiment analysis model."""
    return pipeline(
        "sentiment-analysis", 
        model="distilbert-base-uncased-finetuned-sst-2-english",
        device=-1  # Force CPU
    )

def load_summarization_model():
    """Loads the text summarization model."""
    return pipeline(
        "summarization", 
        model="sshleifer/distilbart-cnn-12-6",
        device=-1  # Force CPU
    )

def load_translation_model():
    """Loads the English to French translation model."""
    return pipeline(
        "translation_en_to_fr", 
        model="t5-small",
        device=-1  # Force CPU
    )

# New model loading functions
def load_question_answering_model():
    """Loads a question answering model."""
    return pipeline(
        "question-answering",
        model="distilbert-base-cased-distilled-squad",
        device=-1  # Force CPU
    )

def load_text_generation_model():
    """Loads a text generation model."""
    return pipeline(
        "text-generation",
        model="gpt2",
        device=-1  # Force CPU
    )

def load_ner_model():
    """Loads a named entity recognition model."""
    return pipeline(
        "ner",
        model="dbmdz/bert-large-cased-finetuned-conll03-english",
        aggregation_strategy="simple",
        device=-1  # Force CPU
    )

def load_text_classification_model():
    """Loads a zero-shot classification model."""
    return pipeline(
        "zero-shot-classification",
        model="facebook/bart-large-mnli",
        device=-1  # Force CPU
    )

# Remove text-to-sql model for now to fix the import error
# def load_text_to_sql_model():
#     """Loads a text-to-SQL model."""
#     return pipeline(
#         "text2text-generation",
#         model="mrm8488/t5-base-finetuned-wikiSQL",
#         device=-1  # Force CPU
#     )