first fix for seagull!

app.py

@@ -1,6 +1,12 @@
 import numpy as np
 import gradio as gr
+from transformers import TFAutoModelForSequenceClassification, AutoTokenizer
 
+checkpoint="MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli"
+
+
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model=TFAutoModelForSequenceClassification.from_pretrained(checkpoint,from_pt=True)
 
 title = "The Seagull story"
 description = """
@@ -58,11 +64,12 @@ def generate_tone(index,question):
     """.replace("\n","")
 
     ]
-    return passages[index],question
+    inputs=tokenizer(passages[index],question, return_tensors="tf")
+    return (model(**inputs).logits)
 
 passages=["General","Pier","Boat","Island"]
 
-gr.Interface.load(
+gr.load(
     "huggingface/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli",
     generate_tone,
     [