updates

app.py

@@ -6,14 +6,13 @@ st.title("Toxic Tweets Analyzer")
 image = "kanye_tweet.jpg"
 st.image(image, use_column_width=True)
 
+# create a dropdown to select the model
+model = st.selectbox("Select model", ["distilbert-base-uncased-finetuned-sst-2-english", "nlptown/bert-base-multilingual-uncased-sentiment"])
+
 #form
 with st.form("my_form"):
     submitted = st.form_submit_button("Analyze")
     tweet = st.text_area("enter tweet here:", value="i'm nice at ping pong")
     if submitted:
-        out = pipe(tweet)
+        out = pipe(tweet, model=model)
         st.json(out)
-        # # print out nicely
-        # sentiment = out[0]['label']
-        # score = out[0]['score']
-        # print(f"{tweet} \nsentiment: {sentiment} \nscore: {score}")