Update app.py

app.py

@@ -1,15 +1,31 @@
 import streamlit as st
+from sentence_transformers import SentenceTransformer
+from langdetect import detect, DetectorFactory
 
 st.set_page_config(page_title="Simple Text Analysis", layout="wide")
 
+@st.cache_resource
+def load_model():
+    return SentenceTransformer('distiluse-base-multilingual-cased-v1')
+
+DetectorFactory.seed = 0
+model = load_model()
+
 st.title("Simple Text Analysis")
 user_input = st.text_area("Enter your text here:")
 
 if st.button("Analyze"):
     if user_input:
-        st.write(f"You entered: {user_input}")
-        st.write(f"Character count: {len(user_input)}")
-        st.write(f"Word count: {len(user_input.split())}")
+        try:
+            lang = detect(user_input)
+            st.write(f"Detected language: {lang}")
+            
+            embedding = model.encode(user_input)
+            st.write(f"Text embedding shape: {embedding.shape}")
+            st.write("First few values of the embedding:")
+            st.write(embedding[:5])
+        except Exception as e:
+            st.error(f"An error occurred: {str(e)}")
     else:
         st.warning("Please enter some text to analyze.")