Update app.py

app.py

@@ -3,6 +3,7 @@ from sentence_transformers import SentenceTransformer, util
 from sklearn.decomposition import LatentDirichletAllocation
 from sklearn.feature_extraction.text import CountVectorizer
 from langdetect import detect, DetectorFactory
+import numpy as np
 
 st.set_page_config(page_title="Multilingual Text Analysis System", layout="wide")
 
@@ -70,8 +71,9 @@ if st.button("Analyze"):
             embeddings = embedding_agent.get_embeddings(words)
         st.success("Word Embeddings Generated.")
 
-        st.write("Words in the input:")
-        st.write(", ".join(words))
+        st.write("Words and their embeddings:")
+        for word, embedding in zip(words, embeddings):
+            st.write(f"{word}: {embedding}")
 
         if len(words) > 1:
             with st.spinner("Extracting topics..."):
@@ -93,4 +95,4 @@ if st.button("Analyze"):
         st.warning("Please enter some text to analyze.")
 
 st.sidebar.title("About")
-st.sidebar.info("This app performs multilingual text analysis using various NLP techniques.")
+st.sidebar.info("This app performs multilingual text analysis using various NLP techniques.")