import gradio as gr
from transformers import pipeline

# Load model locally (no API call)
emotion_classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)

def detect_emotion(text):
    results = emotion_classifier(text)[0]
    return {res["label"]: res["score"] for res in results}

iface = gr.Interface(fn=detect_emotion, 
                     inputs="text", 
                     outputs="label",
                     title="Emotion Detection",
                     description="Enter text to detect emotion using DistilRoBERTa")

iface.launch()