Update app.py

app.py

@@ -34,14 +34,14 @@ def load_keybert_model():
 @st.cache_resource
 def load_flant5_pipeline():
     # Explicitly load the Seq2Seq model & tokenizer to avoid truncation/classification fallback
-    seq_tok = AutoTokenizer.from_pretrained("google/flan-t5-base")
-    seq_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
+    seq_tok = AutoTokenizer.from_pretrained("google/flan-t5-large")
+    seq_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large")
     return pipeline(
         "text2text-generation",
         model=seq_model,
         tokenizer=seq_tok,
-        # ensure we generate up to 200 new tokens
-        max_new_tokens=200,
+        # ensure we generate up to 400 new tokens
+        max_new_tokens=400,
         do_sample=True,
         temperature=0.7
     )