feat: add 12500 size model

app.py

@@ -15,6 +15,9 @@ scademy_500_500_model = pipeline("sentiment-analysis", model=scademy_500_500_mod
 scademy_2500_2500_model_name = "scademy/bert-finetuned-2500-2500-0"
 scademy_2500_2500_model = pipeline("sentiment-analysis", model=scademy_2500_2500_model_name, token=token)
 
+scademy_12500_12500_model_name = "scademy/bert-finetuned-12500-12500-0"
+scademy_12500_12500_model = pipeline("sentiment-analysis", model=scademy_12500_12500_model_name, token=token)
+
 fine_tuned_model_name = "distilbert-base-uncased-finetuned-sst-2-english"
 fine_tuned_model = pipeline("sentiment-analysis", model=fine_tuned_model_name)
 
@@ -22,11 +25,13 @@ def get_model_output(input_text, model_choice):
     raw_result = raw_model(input_text)
     scademy_500_500_result = scademy_500_500_model(input_text)
     scademy_2500_2500_result = scademy_2500_2500_model(input_text)
+    scademy_12500_12500_result = scademy_12500_12500_model(input_text)
     fine_tuned_result = fine_tuned_model(input_text)
     return (
         format_model_output(raw_result[0]),
         format_model_output(scademy_500_500_result[0]),
         format_model_output(scademy_2500_2500_result[0]),
+        format_model_output(scademy_12500_12500_result[0]),
         format_model_output(fine_tuned_result[0])
     )
 
@@ -43,6 +48,7 @@ iface = gr.Interface(
         gr.Textbox(label="Base DistilBERT output (distilbert-base-uncased)"),
         gr.Textbox(label="Scademy DistilBERT 500-500 output"),
         gr.Textbox(label="Scademy DistilBERT 2500-2500 output"),
+        gr.Textbox(label="Scademy DistilBERT 12500-12500 output"),
         gr.Textbox(label="Fine-tuned DistilBERT output"),
     ],
 )