Update app.py

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the model
+model = torch.load("path/to/basilkr_luke_ST_low_model.pth")
+model.eval()  # Set the model to evaluation mode
 
-iface = gr.Interface("basilkr/luke_ST_low", inputs="text", outputs="text")
+# Define a function to make predictions
+def predict(text):
+    # Perform inference using the model
+    # You need to adapt this based on the specific requirements of your model
+    result = model(text)
+
+    return result
+
+# Create the Gradio interface
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
 iface.launch()