Create the app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+import pickle
+
+with open('singlish_comment_classifier_v3.pkl', "rb") as f:
+    model_singlish = pickle.load(f)
+
+with open('sinhala_comment_classifier_v1.pkl', "rb") as f:
+    model_sinhala = pickle.load(f)
+
+def predict_sinhala(text):
+    prediction = model_sinhala.predict([text])
+    return "POSITIVE" if prediction[0] == 1 else "NEGATIVE"
+
+def predict_singlish(text):
+    prediction = model_singlish.predict([text])
+    return "POSITIVE" if prediction[0] == 1 else "NEGATIVE"
+
+interface = gr.Interface(
+    fn=lambda text, model_choice: predict_singlish(text) if model_choice == "Singlish" else predict_sinhala(text),
+    inputs=[
+        gr.Textbox(label="Enter Text"),
+        gr.Radio(["Singlish", "Sinhala"], label="Choose Model")
+    ],
+    outputs="text",
+    title="Sinhala and Singlish harm comment detector",
+    description="Choose a model and enter text to get predictions."
+)
+
+interface.launch(share=True)