Update app.py

app.py

@@ -1,31 +1,15 @@
 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:
-        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)}")
+        st.write(f"You entered: {user_input}")
+        st.write(f"Character count: {len(user_input)}")
+        st.write(f"Word count: {len(user_input.split())}")
     else:
         st.warning("Please enter some text to analyze.")