app.py

from transformers import pipeline
import gradio as gr

# Load the DeBERTa zero-shot classifier
classifier = pipeline(
    "zero-shot-classification",
    model="MoritzLaurer/deberta-v3-large-zeroshot-v2.0"
)

# Default candidate labels (can be overridden by API)
DEFAULT_LABELS = ["mild", "moderate", "severe", "life-threatening", "death"]

def classify_side_effect(text, candidate_labels=None):
    """
    Classify the severity of a side effect using zero-shot classification.
    Args:
        text (str): Input text describing the side effect.
        candidate_labels (list[str]): Optional list of labels.
    Returns:
        dict: Predicted labels and scores.
    """
    if not text.strip():
        return {"error": "Empty input"}

    labels = candidate_labels if candidate_labels else DEFAULT_LABELS

    result = classifier(text, candidate_labels=labels)
    # Return structured output for API
    return {
        "labels": result["labels"],
        "scores": [float(s) for s in result["scores"]],
        "top_label": result["labels"][0],
        "top_score": float(result["scores"][0])
    }

# Define the API endpoint (for programmatic use)
api = gr.Interface(
    fn=classify_side_effect,
    inputs=[
        gr.Textbox(label="Side Effect Text"),
        gr.Textbox(label="Candidate Labels (comma-separated, optional)")
    ],
    outputs=gr.JSON(label="Classification Result"),
    title="Zero-Shot ADR Severity Classifier API",
    description="Predicts the severity level of a side effect using DeBERTa-v3 large zero-shot classification."
)

# Add a user-friendly UI for manual testing
demo = gr.Interface(
    fn=lambda text: classify_side_effect(text),
    inputs=gr.Textbox(label="Enter a side effect or sentence"),
    outputs=gr.Label(label="Top Predicted Severity"),
    title="Zero-Shot ADR Severity Classifier",
    description="Classifies a side effect sentence into severity categories using DeBERTa v3."
)

# Combine both: API and Demo
demo_and_api = gr.TabbedInterface(
    [demo, api],
    ["Demo", "API"]
)

if __name__ == "__main__":
    demo_and_api.launch()