Update app_text_only_backup.py

app_text_only_backup.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+text_emotion = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
+
+def analyze_emotion(text):
+    results = text_emotion(text)[0]
+    results = sorted(results, key=lambda x: x['score'], reverse=True)
+    output = {r['label']: round(r['score'], 3) for r in results}
+    return output
+
+demo = gr.Interface(
+    fn=analyze_emotion,
+    inputs=gr.Textbox(lines=3, placeholder="Type something here..."),
+    outputs=gr.Label(num_top_classes=3),
+    title="Empath AI - Emotion Detection",
+    description="Type a sentence to see what emotions it contains!"
+)
+
+if __name__ == "__main__":
+    demo.launch()