removed socket_options argument

app.py

@@ -1,37 +1,29 @@
-
-
 # Import necessary libraries
-
 import blurr
 import gradio as gr
 from pathlib import Path
 from fastai.text.all import *
 from blurr.text.data.all import *
 from blurr.text.modeling.all import *
-import pathlib
 
 # Load the learner
 inf_learn = load_learner(fname=Path("laptop_summarizer_1.pkl"))
 
 # Define a function to generate summaries using your model
-
-
 def generate_summary(input_text):
     prediction = inf_learn.blurr_generate(input_text)
     generated_text = prediction[0]['generated_texts']
     return generated_text
 
-
 # Create an interface for the model
-iface = gr.Interface(
+interface = gr.Interface(
     fn=generate_summary,  # The function to generate summaries
     inputs=gr.inputs.Textbox(),  # Input field for text
     outputs=gr.outputs.Textbox(),  # Output field for generated text
     live=True,  # Whether to update results in real-time
     title="Laptop Guru",  # Title of the interface
-    # Description of the interface
-    description="Enter your requirements & get valuable insight from Guru."
+    description="Enter your requirements & get valuable insight from Guru."  # Description of the interface
 )
 
 # Start the Gradio app
-iface.launch(inline=True)
+interface.launch(inline=True)