updates

app.py

@@ -1,25 +1,3 @@
-# import streamlit as st
-# from transformers import pipeline
-# from PIL import Image
-
-# pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-# st.title("Hot Dog? Or Not?")
-
-# file_name = st.file_uploader("Upload a hot dog candidate image")
-
-# if file_name is not None:
-#     col1, col2 = st.columns(2)
-
-#     image = Image.open(file_name)
-#     col1.image(image, use_column_width=True)
-#     predictions = pipeline(image)
-
-#     col2.header("Probabilities")
-#     for p in predictions:
-#         col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
-
-
 import streamlit as st
 from transformers import pipeline
 
@@ -27,12 +5,15 @@ from transformers import pipeline
 pipe = pipeline(task="sentiment-analysis")
 st.title("Toxic Tweets Analyzer")
 
-text = st.text_area("I'm nice at ping pong")
-
-st.form_submit_button(label="Submit")
-
-if text:
-    out = pipe(text)
-    st.json(out)
+#initial
+text = st.text_area("enter some text")
 
+#form
+with st.form("my_form"):
+    submitted = st.form_submit_button("Submit")
+    if submitted:
+        st.write("Form submitted!")
 
+        if text:
+            out = pipe(text)
+            st.json(out)