Create app.py

app.py

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+import gradio as gr
+from detoxify import Detoxify
+import pandas as pd
+
+# Load model once at startup
+model = Detoxify('original')
+
+def classify_toxicity(text):
+    if not text.strip():
+        return "Please enter a valid comment."
+
+    results = model.predict(text)
+    df = pd.DataFrame([results], index=["Score"]).T
+    df = df.round(4)
+    return df
+
+iface = gr.Interface(
+    fn=classify_toxicity,
+    inputs=gr.Textbox(label="Enter a Comment", lines=3, placeholder="Example: You are so annoying..."),
+    outputs=gr.Dataframe(label="Toxicity Classification"),
+    title="💬 Toxic Comment Classifier",
+    description="Classifies input comments as toxic, severe toxic, obscene, threat, insult, and identity hate using Detoxify (unitary/toxic-bert)."
+)
+
+if __name__ == "__main__":
+    iface.launch()