Add Gradio app and requirements

app.py

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+import os
+os.environ["TRANSFORMERS_NO_TF"] = "1"
+
+from transformers import pipeline
+import gradio as gr
+
+# Load the emotion detection model
+emotion_classifier = pipeline("text-classification", 
+                              model="bhadresh-savani/distilbert-base-uncased-emotion")
+
+# Define the emotion detection function
+def detect_emotion(text):
+    result = emotion_classifier(text)
+    emotion = result[0]['label']
+    score = round(result[0]['score'], 3)
+    return f"Predicted Emotion: {emotion} (Confidence: {score})"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=detect_emotion,
+    inputs=gr.Textbox(lines=3, placeholder="Type your sentence here..."),
+    outputs="text",
+    title="Emotion Detector",
+    description="Enter a sentence and let this AI detect the emotion behind it!"
+)
+
+# Launch with public link
+interface.launch(share=True)

requires.txt

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+gradio
+transformers
+torch