Create app.py

app.py

@@ -0,0 +1,25 @@
+from flask import Flask, jsonify, request
+import requests
+from transformers import pipeline
+
+app = Flask(__name__)
+
+# Initialize sentiment analysis pipeline from Hugging Face
+sentiment_analysis = pipeline("sentiment-analysis")
+
+# Example endpoint for sentiment analysis using Hugging Face Transformers
+@app.route('/api/sentiment', methods=['POST'])
+def analyze_sentiment():
+    try:
+        text = request.json['text']
+
+        # Perform sentiment analysis
+        result = sentiment_analysis(text)
+
+        return jsonify(result), 200
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)