feat: Add lang selection and load model function

app.py

@@ -2,7 +2,17 @@ import streamlit as st
 import tweepy
 
 
+@st.cache(show_spinner=False, allow_output_mutation=True)
+def load_model(model_name: str) -> SentenceTransformer:
+    embedder = model_name
+    return SentenceTransformer(embedder)
+
+
 client = tweepy.Client(bearer_token=st.secrets["tw_bearer_token"])
+model_to_use = {
+    "English": "all-MiniLM-L12-v2",
+    "Use all the ones you know (~15 lang)": "paraphrase-multilingual-MiniLM-L12-v2"
+}
 
 st.title("Tweet-SNEst")
 st.write("Visualize tweets embeddings in 2D using colors for topics labels.")
@@ -12,6 +22,11 @@ with col1:
 with col2:
     sample = st.number_input("Maximum number of tweets to use", 1, 300, 100, 10)
     
+expected_lang = st.radio(
+    "What language should be assumed to be found?",
+    ('English', 'Use all the ones you know (~15 lang)'))
+
+
 usr = client.get_user(username=tw_user)
  
 st.write(usr.data.id)