Update src/streamlit_app.py

src/streamlit_app.py

@@ -9,7 +9,7 @@ MODEL_NAME = "AbdullahAlnemr1/flan-t5-summarizer"
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
 model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)
 
-st.title("FLAN‑T5 Text Summarizer")
+st.title("Text Summarizer(Encoder-Decoder)")
 
 input_text = st.text_area("Enter text to summarize:", height=200)
 
@@ -17,7 +17,7 @@ max_new_tokens = st.slider("Max summary length (tokens)", min_value=20, max_valu
 
 if st.button("Generate Summary"):
     if input_text.strip() == "":
-        st.warning("Please enter some text to summarize.")
+        st.warning("Enter text to summarize")
     else:
         # Tokenize input
         inputs = tokenizer(input_text, return_tensors="pt", truncation=True)