linked to classifier

.gitattributes

@@ -1,34 +1,34 @@
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+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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milestone-3.py

@@ -21,22 +21,17 @@ filtered_dataset = dataset_dict['validation'].filter(lambda e: e['decision'] ==
 dataset = filtered_dataset.shuffle(seed=42).select(range(20))
 dataset = dataset.sort("patent_number")
 
-
 # Create pipeline using model trainned on Colab
-model = torch.load("/workspaces/cs-gy-6613-project/patent_classification(1).pt", map_location=torch.device('cpu'))
+model = torch.load("/workspaces/cs-gy-6613-project/patent_classifier.pt", map_location=torch.device('cpu'))
 tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
 
-
-
 def load_patent():
     selected_application = dataset.select([applications[st.session_state.id]])
     st.session_state.abstract = selected_application['abstract'][0]
     st.session_state.claims = selected_application['claims'][0]
     st.session_state.title = selected_application['title'][0]
 
-
-
 st.title("CS-GY-6613 Project Milestone 3")
 
 # List patent numbers for select box