Create app.py

app.py

@@ -0,0 +1,65 @@
+from flask import Flask, request, jsonify
+from transformers import pipeline
+
+app = Flask(__name__)
+
+# Initialize the sentiment analysis pipeline
+sentiment_classifier = pipeline("sentiment-analysis")
+
+def analyze_priority(text):
+    # Get sentiment analysis
+    sentiment_result = sentiment_classifier(text)[0]
+    sentiment_score = sentiment_result['score']
+    sentiment_label = sentiment_result['label']
+    
+    # Convert text to lowercase for keyword checking
+    text = text.lower()
+    
+    # Define urgency indicators
+    urgent_indicators = ['urgent', 'emergency', 'asap', 'immediately', 'critical']
+    high_indicators = ['important', 'priority', 'soon', 'significant']
+    
+    # Check for urgent keywords
+    has_urgent = any(word in text for word in urgent_indicators)
+    has_high = any(word in text for word in high_indicators)
+    
+    # Determine priority based on both sentiment and keywords
+    if has_urgent or (sentiment_label == 'NEGATIVE' and sentiment_score > 0.8):
+        return "urgent"
+    elif has_high or (sentiment_label == 'NEGATIVE' and sentiment_score > 0.6):
+        return "high"
+    elif sentiment_label == 'NEGATIVE':
+        return "normal"
+    else:
+        return "low"
+
+@app.route('/analyze-priority', methods=['GET'])
+def get_priority():
+    text = request.args.get('text', '')
+    
+    if not text:
+        return jsonify({
+            'error': 'No text provided',
+            'status': 400
+        }), 400
+    
+    try:
+        priority = analyze_priority(text)
+        sentiment_result = sentiment_classifier(text)[0]
+        
+        return jsonify({
+            'text': text,
+            'priority': priority,
+            'status': 200,
+            'details': {
+                'sentiment': sentiment_result
+            }
+        })
+    except Exception as e:
+        return jsonify({
+            'error': f'Analysis failed: {str(e)}',
+            'status': 500
+        }), 500
+
+if __name__ == '__main__':
+    app.run(debug=True)