Done

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.sav filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+import joblib,torch
+import time
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+loaded_tokenizer = joblib.load("finalized_tokenizer.sav")
+loaded_model = joblib.load("finalized_model.sav")
+
+st.title('Text Summarization using Pegasus')
+
+txt = st.text_area('Enter Text to summarize here', '')
+
+if st.button('Summarize'):
+    with st.spinner('Summarizing..'):
+        batch = loaded_tokenizer(txt, truncation=True, padding='longest', return_tensors="pt").to(device)
+        translated = loaded_model.generate(**batch)
+        tgt_text = loaded_tokenizer.batch_decode(translated, skip_special_tokens=True)
+    st.success('Summarized Text')
+    st.subheader(tgt_text[0])
+
+

finalized_model.sav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84c5f32b137e0eccd615e33aaf6a57be82c1f851db2e7331288c9707a93850bc
+size 2283851819

finalized_tokenizer.sav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:622ad27c10af98d6cd14b2573400636e718390c2b10796773a1d4f7a2959a6dd
+size 3522797

requirements.txt

@@ -0,0 +1,4 @@
+transformers
+joblib
+sentencepiece
+torch