Upload app.py

app.py

@@ -1,13 +1,13 @@
 import streamlit as st
 from transformers import pipeline
 
-st.set_page_config(page_title="Common NLP Tasks")
-st.title("Common NLP Tasks")
-st.subheader(":point_left: Use the menu on the left to select a NLP task (click on > if closed).")
-"""
-[![](https://img.shields.io/github/followers/OOlajide?label=OOlajide&style=social)](https://gitHub.com/OOlajide)
-[![](https://img.shields.io/twitter/follow/sageOlamide?label=@sageOlamide&style=social)](https://twitter.com/sageOlamide)
-"""
+st.set_page_config(page_title="Automated Question Answering System")
+st.title("Automated Question Answering System")
+st.subheader("Try")
+# """
+# [![](https://img.shields.io/github/followers/OOlajide?label=OOlajide&style=social)](https://gitHub.com/OOlajide)
+# [![](https://img.shields.io/twitter/follow/sageOlamide?label=@sageOlamide&style=social)](https://twitter.com/sageOlamide)
+# """
 # expander = st.sidebar.expander("About")
 # expander.write("This web app allows you to perform common Natural Language Processing tasks, select a task below to get started.")
 
@@ -20,14 +20,15 @@ def question_model():
     question_answerer = pipeline(model=model_name, tokenizer=model_name, task="question-answering")
     return question_answerer
 
-
-# if option == "Extractive question answering":
-st.markdown("<h2 style='text-align: center; color:grey;'>Extractive Question Answering</h2>", unsafe_allow_html=True)
+st.markdown("<h2 style='text-align: center; color:grey;'>Question Answering on Academic Essays</h2>", unsafe_allow_html=True)
 st.markdown("<h3 style='text-align: left; color:#F63366; font-size:18px;'><b>What is extractive question answering about?<b></h3>", unsafe_allow_html=True)
 st.write("Extractive question answering is a Natural Language Processing task where text is provided for a model so that the model can refer to it and make predictions about where the answer to a question is.")
 st.markdown('___')
-source = st.radio("How would you like to start? Choose an option below", ["I want to input some text", "I want to upload a file"])
+
+source = st.radio("How would you upload the essay? Choose an option below", ["I want to input some text", "I want to upload a file"])
+
 sample_question = "What did the shepherd boy do to amuse himself?"
+
 if source == "I want to input some text":
     with open("sample.txt", "r") as text_file:
         sample_text = text_file.read()
@@ -39,7 +40,8 @@ if source == "I want to input some text":
             question_answerer = question_model()
         with st.spinner(text="Getting answer..."):
             answer = question_answerer(context=context, question=question)
-            answer = answer["answer"]
+            # answer = answer["answer"]
+
             st.text(answer)
 elif source == "I want to upload a file":
     uploaded_file = st.file_uploader("Choose a .txt file to upload", type=["txt"])