Update app.py

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load model and tokenizer
+model_name = ""  # Replace with your model's Hugging Face Hub path
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Define prediction function
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    with torch.no_grad():
+        outputs = model(**inputs)
+        logits = outputs.logits
+    prediction = torch.argmax(logits, dim=1).item()
+    return prediction
+
+# Set up Gradio interface
+interface = gr.Interface(
+    fn=predict, 
+    inputs="text", 
+    outputs="text", 
+    title="My Model Prediction",
+    description="Enter some text and see what the model predicts!"
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    interface.launch()