Update app.py

app.py

@@ -4,8 +4,8 @@ from transformers import pipeline
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
 access_token = "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"
 
-tokenizer = AutoTokenizer.from_pretrained("avin1103/SEngine", use_auth_token=access_token)
-model = AutoModelForSequenceClassification.from_pretrained("avin1103/SEngine", use_auth_token=access_token)
+tokenizer = AutoTokenizer.from_pretrained("sokat/ssie-model", use_auth_token=access_token)
+model = AutoModelForSequenceClassification.from_pretrained("sokat/ssie-model", use_auth_token=access_token)
 pipe1 = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True)
 pipe2 = pipeline("zero-shot-classification", model="facebook/bart-large-mnli", multi_class=True)
 
@@ -31,7 +31,7 @@ iface1 = gr.Interface(
 # iface1.launch()
 
 
-interface = gr.Interface.load("models/avin1103/SEngine", title = "SoKat Suicide Ideation Engine (SSIE) - Case Study 2",
+interface = gr.Interface.load("models/sokat/ssie-model", title = "SoKat Suicide Ideation Engine (SSIE) - Case Study 2",
                               description ="Input the Veteran's Free Text to generate a SI score", 
                               inputs = [ gr.inputs.Textbox(lines=7, label="Veteran's Free Text")],
                               outputs=gr.Label(label="output"),