Create app.py

app.py

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+import streamlit as st
+from model import Abstractive_Summarization_Model
+
+
+# initialize model object
+# @st.cache
+def load_model():
+    return Abstractive_Summarization_Model()
+
+# Main app engine
+if __name__ == "__main__":
+    # display title and description
+    st.title("AI Text Summarizer")
+    st.header("Get AI generated paraphrased summaries of text!")
+    st.write("You might need to wait a couple of seconds for the model to load because i'm using a tiny cpu 🥲")
+    st.write("email me at darveenvijayan.27@gmail.com")
+
+    #load model
+    ASM = load_model()
+
+    # display topic input slot
+    text = st.text_input("Paste a paragraph of text in the text box below and hit ENTER!", "")
+
+    # display article paragraph
+    article_paragraph = st.empty()
+
+    if text:
+        # load wikipedia summary of topic
+
+        summary = ASM.summarize(text)
+
+        # display article summary in paragraph
+        article_paragraph.markdown(summary)