Upload app.py

app.py

@@ -7,6 +7,7 @@ def install(package):
 
 st.title("Personality Prediction App")
 
+# Check and install transformers library
 try:
     from transformers import pipeline
 except ImportError:
@@ -14,7 +15,14 @@ except ImportError:
     install('transformers')
     st.experimental_rerun()
 
-# Rest of your code here...
+# Check and install numpy library
+try:
+    import numpy as np
+except ImportError:
+    st.warning("The numpy library is not installed. Attempting to install it now...")
+    install('numpy')
+    st.experimental_rerun()
+
 @st.cache_resource
 def load_model():
     return pipeline("text-classification", model="KevSun/Personality_LM")
@@ -36,4 +44,5 @@ if st.button("Predict"):
     else:
         st.warning("Please enter some text to analyze.")
 
-st.info("Note: This is a demonstration and predictions may not be entirely accurate.")
+st.info("Note: This is a demonstration and predictions may not be entirely accurate.")
+