main.py now is fit for huggingspaces and streamlit

src/main.py

@@ -1,10 +1,35 @@
+import streamlit as st
 from transformers import pipeline
 
-classifier = pipeline(task="sentiment-analysis")
+# Title
+st.title("CSGY-6613 Sentiment Analysis - by Ryan Kim (rk2546)")
+# Subtitle
+st.markdown("## Ryan Kim (rk2546)")
+st.markdown("")
+
+if "model" not in st.session_state:
+    st.session_state.model = "Test"
+
+text_input = st.text_input(
+    "Enter some text 👇",
+    placeholder="I like burgers...",
+)
+
+if text_input:
+    st.write("You entered: ", text_input)
+
+"""
+@st.cache
+def load_model():
+    classifier = pipeline(task="sentiment-analysis")
+    return classifier
+
+classifier = load_model()
 
 user_input = input("Please enter a text to perform sentiment analysis upon:\n")
 
 classification = classifier(user_input)
 
 print("Sentimeny Analysis:")
-print(classification)
+print(classification)
+"""