Update app.py

pls work omgggg ahhhhhhh

app.py

@@ -1,7 +1,14 @@
 # here are some examples for sadness, joy, anger, and optimism.
 import gradio as gr
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from transformers import pipeline
 
-model = "models/barbieheimer/MND_TweetEvalBert_model"
+tokenizer = AutoTokenizer.from_pretrained("barbieheimer/MND_TweetEvalBert_model")
+model = AutoModelForSequenceClassification.from_pretrained("barbieheimer/MND_TweetEvalBert_model")
+
+# We can now use the model in the pipeline.
+classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
 
 def predict(prompt):
     completion = classifier(prompt)