spam_classifer: fix the Interface

Signed-off-by: Panchajanya1999 <rsk52959@gmail.com>

spam_classifier.py

@@ -76,10 +76,13 @@ hf_writer = gr.HuggingFaceDatasetSaver(HF_API_TOKEN, "spam-mistakes")
 iface = gr.Interface(
     fn=predict_spam, 
     inputs=gr.Textbox(lines=2, placeholder="Enter a message to check if it is spam or ham", label="Message", info = "Enter a message"),
-    outputs=gr.Textbox(lines=2, info="Check if the enetered message is spam or ham", label="Prediction", placeholder = "Output will be here.."),
+    outputs=gr.Textbox(lines=2, info="Check if the enetered message is spam or ham. If the prediction is opposite, please flag it by hitting the Flag button below.", label="Prediction", placeholder = "Output will be here.."),
     title="Spam Classifier", 
     description="Enter a message to check if it is spam or ham", 
     allow_flagging='manual',
     flagging_callback=hf_writer,
-    examples=[['Hey, how are you doing?'], ['Congratulations! You have won a free trip to Dubai!']])
+    examples=[['Hey, how are you doing?'], ['Congratulations! You have won a free trip to Dubai!']],
+    theme=gr.themes.Monochrome(),
+    article="<details><summary>How does it work?</summary><p>It uses a Naive Bayes classifier to classify the message as spam or ham. The model is trained on a dataset of 5572 messages. The model is then tested on a test set of 1115 messages. The accuracy of the model is 98.2%.</p></details>"
+)
 iface.launch()