Add gensim and Word2vec/nlpl_43 hf model

app.py

@@ -1,4 +1,8 @@
 import streamlit as st
+from gensim.models import KeyedVectors
+from huggingface_hub import hf_hub_download
+model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/nlpl_43", filename="model.bin"), binary=True, unicode_errors="ignore")
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+word = st.text_input('Enter a word')
+
+st.write(word, 'squared is', word)

requirements.txt

@@ -0,0 +1,2 @@
+gensim
+from huggingface_hub import hf_hub_download