Update app.py

app.py

@@ -95,7 +95,7 @@ def inference(query):
     return [a_output, j_output, n_output]
 
 
-model_name = "biodatlab/MIReAD-Neuro-Large"
+model_name = "biodatlab/MIReAD-Neuro-Contrastive"
 model_kwargs = {'device': 'cpu'}
 encode_kwargs = {'normalize_embeddings': False}
 faiss_embedder = HuggingFaceEmbeddings(
@@ -104,7 +104,7 @@ faiss_embedder = HuggingFaceEmbeddings(
     encode_kwargs=encode_kwargs
 )
 
-vecdb = FAISS.load_local("nbdt_index", faiss_embedder)
+vecdb = FAISS.load_local("nbdt_contr", faiss_embedder)
 
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
@@ -113,7 +113,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     It aims to help an editor to find similar reviewers, abstracts, and journals to a given submitted abstract.\
     To find a recommendation, paste a `title[SEP]abstract` or `abstract` in the text box below and click \"Find Matches\".\
     Then, you can hover to authors/abstracts/journals tab to find a suggested list.\
-    The data in our current demo includes authors associated with the NBDT Journal. We will update the data monthly for an up-to-date publications.")
+    The data in our current demo includes authors associated with the NBDT Journal. We will update the data monthly for an up-to-date publications. \
+    Model on Deployment: " + model_name)
 
     abst = gr.Textbox(label="Abstract", lines=10)