analyze sentiment

main.py

@@ -1,12 +1,34 @@
-from flask import Flask
+from flask import Flask, jsonify, request
 from flask_cors import CORS
+from transformers import pipeline
 
 app = Flask(__name__)
 CORS(app)
 
+# Initialize the sentiment analysis pipeline
+classifier = pipeline("sentiment-analysis")
+
 @app.route('/')
 def hello():
     return 'hello world'
 
+@app.route('/analyze-sentiment', methods=['POST'])
+def analyze_sentiment():
+    try:
+        # Get the text from the request
+        data = request.get_json()
+        if 'text' not in data:
+            return jsonify({"error": "No text provided"}), 400
+        
+        text = data['text']
+        # Run sentiment analysis
+        result = classifier(text)
+        return jsonify(result)
+    except Exception as e:
+        # Log the error message if needed
+        print(f"Error processing the text: {e}")
+        # Return a JSON response with the error message and a 400 Bad Request status
+        return jsonify({"error": "Error processing the text", "details": str(e)}), 400
+
 if __name__ == '__main__':
     app.run(debug=True)