add app.py and requirements

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load your model (update the path to your saved model)
+model = pipeline("text-classification", model="./mbti_model_2")
+
+# Streamlit Interface
+st.title("MBTI Personality Predictor")
+st.write("Enter some text, and the model will predict your MBTI personality type.")
+
+# Input text
+user_input = st.text_area("Enter text here:")
+
+if st.button("Predict"):
+    if user_input.strip():
+        prediction = model(user_input)
+        st.write(f"Predicted MBTI Type: {prediction[0]['label']}")
+    else:
+        st.write("Please enter some text.")

requirements.txt

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+transformers
+streamlit
+gradio