Update app.py

app.py

@@ -1,20 +1,9 @@
-from flask import Flask, request, render_template
 from transformers import pipeline
 
-app = Flask(__name__)
+# Create a text classification pipeline
+classifier = pipeline("sentiment-analysis")
 
-# Load the sentiment-analysis pipeline
-sentiment_analysis = pipeline("sentiment-analysis")
+# Use the pipeline to classify some text
+result = classifier("I love using Hugging Face Transformers!")
 
-@app.route('/')
-def home():
-    return render_template('index.html')
-
-@app.route('/analyze', methods=['POST'])
-def analyze():
-    text = request.form['text']
-    result = sentiment_analysis(text)
-    return render_template('result.html', text=text, result=result)
-
-if __name__ == '__main__':
-    app.run(debug=True)
+print(result)