Update app.py

app.py

@@ -8,7 +8,7 @@ classifier = pipeline("text-classification", model='JustHuggingFaces/OptimalSpam
 to_speech = TextToSpeech("NeuML/ljspeech-jets-onnx")
 # Streamlit application title
 st.title("Reading Ham")
-st.write("Classification for Spam Email: spam or ham?")
+st.write("Classification for Spam Email: Spam or  Ham?")
 # Text input for user to enter the text to classify
 text = st.text_area("Paste the email text to classify, if it's a ham, read out", "")
 # Perform text classification when the user clicks the "Classify" button
@@ -26,4 +26,4 @@ if st.button("Classify"):
         st.write("Ham!")
         #st.write("Label: ", result['label'])
         speech = to_speech(text)
-        st.audio(speech, sample_rate=16000,autoplay=True)
+        st.audio(speech, sample_rate=16000, autoplay=True)