Update app.py

app.py

@@ -10,8 +10,8 @@ import xml.etree.ElementTree as ET
 # Move models to CUDA if available
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-tokenizer = AutoTokenizer.from_pretrained("stanford-crfm/BioMedLM", model_max_length= 1024, force_download= True)
-model = AutoModelForCausalLM.from_pretrained("stanford-crfm/BioMedLM", force_download= True).to(device)
+tokenizer = AutoTokenizer.from_pretrained("stanford-crfm/BioMedLM", model_max_length= 1024)
+model = AutoModelForCausalLM.from_pretrained("stanford-crfm/BioMedLM").to(device)
 
 api_key = '2c78468d6246082d456a140bb1de415ed108'
 num_results = 10