Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+text_classifier = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment")
+
+def main():
+    st.title("Know The Mood of Your Writing")
+    
+    # Text input area for the user
+    text = st.text_area("Enter your text:")
+
+    if st.button("Go!"):
+        if text:
+            analyze_text_tone(text)
+        else:
+            st.warning("Please enter some text.")
+
+def analyze_text_tone(text):
+    classification_result = text_classifier(text)
+    predicted_label = classification_result[0]['label']
+    
+    st.subheader("Text Tone Analysis Result:")
+    st.write(f"Predicted Tone: {predicted_label}")
+
+if __name__ == "__main__":
+    main()