Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a pre-trained emotion detection model
+emotion = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")
+
+def detect_emotion(text):
+    if not text.strip():
+        return "Please enter some text."
+    result = emotion(text)[0]
+    return f"Emotion: {result['label']} (Confidence: {round(result['score'], 2)})"
+
+app = gr.Interface(
+    fn=detect_emotion,
+    inputs=gr.Textbox(lines=2, placeholder="Type your feeling..."),
+    outputs="text",
+    title="💬 Emotion Detector",
+    description="Type a sentence and find out the emotion behind it!"
+)
+
+app.launch()