Create app.py

app.py

@@ -0,0 +1,15 @@
+import streamlit as st
+from transformers import AutoTokenizer
+
+st.title('Text Summarization')
+text = st.text_input
+
+tokenizer = AutoTokenizer.from_pretrained("madanagrawal/summarization_model")
+inputs = tokenizer(text, return_tensors="pt").input_ids
+
+from transformers import AutoModelForSeq2SeqLM
+
+model = AutoModelForSeq2SeqLM.from_pretrained("madanagrawal/summarizsation_model")
+outputs = model.generate(inputs, max_new_tokens=100, do_sample=False)
+
+tokenizer.decode(outputs[0], skip_special_tokens=True)