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app.py

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+from flask import Flask, request, jsonify, render_template
+from predict_emotion import load_resources, predict_emotion
+
+app = Flask(__name__)
+
+# Load model and resources at startup
+print("Loading model resources...")
+model, tokenizer, classes = load_resources()
+
+@app.route('/', methods=['GET', 'POST'])
+def home():
+    prediction = None
+    confidence = None
+    user_input = ""
+
+    if request.method == 'POST':
+        user_input = request.form.get('text')
+        if user_input:
+            emotion, conf = predict_emotion(user_input, model, tokenizer, classes)
+            prediction = emotion
+            confidence = f"{conf * 100:.1f}%"
+
+    return render_template('index.html', prediction=prediction, confidence=confidence, user_input=user_input)
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860)