makign app simpler

app.py

@@ -1,40 +1,9 @@
 import streamlit as st
 from transformers import pipeline
 
-def load_file():
-    """Load text from file"""
-    uploaded_file = st.file_uploader("Upload Files",type=['txt'])
+pipe = pipeline('sentiment-analysis')
+text = st.text_area('enter your feelings here')
 
-    if uploaded_file is not None:
-        if uploaded_file.type == "text/plain":
-            raw_text = str(uploaded_file.read(),"utf-8")
-        return raw_text
-
-
-if __name__ == "__main__":
-
-    # App title and description
-    st.title("Answering questions from text")
-    st.write("Upload text, pose questions, get answers")
-
-    # Load file
-    raw_text = load_file()
-    if raw_text != None and raw_text != '':
-
-        # Display text
-        with st.expander("See text"):
-            st.write(raw_text)
-
-        # Perform question answering
-        question_answerer = pipeline('question-answering')
-
-        answer = ''
-        question = st.text_input('Ask a question')
-
-        if question != '' and raw_text != '':
-            answer = question_answerer({
-                'question': question,
-                'context': raw_text
-            })
-
-        st.write(answer)
+if text:
+    out = pipe(text)
+    st.json(out)