Load the learner with trust_remote_code=True

app.py

@@ -6,8 +6,9 @@ from fastai.text.all import *
 from blurr.text.data.all import *
 from blurr.text.modeling.all import *
 
-# Load the learner
-inf_learn = load_learner(fname=Path("laptop_summarizer_1.pkl"))
+# Load the learner with trust_remote_code=True
+inf_learn = load_learner(fname=Path("laptop_summarizer_1.pkl"), trust_remote_code=True)
+
 
 # Define a function to generate summaries using your model
 def generate_summary(input_text):
@@ -26,4 +27,4 @@ interface = gr.Interface(
 )
 
 # Start the Gradio app
-interface.launch(inline=True, trust_remote_code=True)
+interface.launch(inline=True)