Update app.py

app.py

@@ -12,7 +12,7 @@ ds = load_dataset("FiscalNote/billsum")
 # Initialize models
 sbert_model = SentenceTransformer("all-mpnet-base-v2")
 t5_tokenizer = AutoTokenizer.from_pretrained("t5-small")
-t5_model = AutoAutoModelForSeq2SeqLM.from_pretrained("t5-small")
+t5_model = AutoModelForSeq2SeqLM.from_pretrained("t5-small")
 
 # Prepare data and build FAISS index
 texts = ds["train"]["text"][:100]  # Limiting to 100 samples for speed, and selecting the train split.
@@ -56,4 +56,4 @@ def main():
             st.warning("Please enter a query to search.")
 
 if __name__ == "__main__":
-    main()
+    main()