import gradio as gr from transformers import pipeline # Load models emotion_classifier = pipeline( "text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion" ) hate_speech_classifier = pipeline( "text-classification", model="Hate-speech-CNERG/dehatebert-mono-english" ) def analyze_text(text): emotion_result = emotion_classifier(text) hate_result = hate_speech_classifier(text) emotions = {res['label']: res['score'] for res in emotion_result} hate_speech = {res['label']: res['score'] for res in hate_result} return emotions, hate_speech iface = gr.Interface( fn=analyze_text, inputs=gr.Textbox(lines=4, placeholder="Enter your text here..."), outputs=[ gr.Label(num_top_classes=6, label="Emotion Detection"), gr.Label(num_top_classes=3, label="Hate Speech Detection") ], title="🧠 Emotion & Hate Speech Detector" ) if __name__ == "__main__": iface.launch()