Create app.py

app.py

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+# Import the necessary modules
+from flask import Flask, request, render_template
+from transformers import pipeline
+
+# Create a Flask app
+app = Flask(__name__)
+
+# Create a text classification pipeline using a pretrained model
+classifier = pipeline("text-classification", model="KoalaAI/Text-Moderation")
+
+# Define a route for the home page
+@app.route("/")
+def home():
+    # Render a template with a web form
+    return render_template("index.html")
+
+# Define a route for the classification result
+@app.route("/classify", methods=["POST"])
+def classify():
+    # Get the text from the web form
+    text = request.form.get("text")
+    # Perform the text classification
+    result = classifier(text)[0]
+    # Extract the label and the score
+    label = result["label"]
+    score = result["score"]
+    # Render a template with the classification result
+    return render_template("result.html", text=text, label=label, score=score)
+
+# Run the app in debug mode
+if __name__ == "__main__":
+    app.run(debug=True)