Update app.py

app.py

@@ -4,12 +4,17 @@ from gradio import Interface as gr
 from pathlib import Path
 from fastai.text.all import *
 from datasets import load_dataset
+from interfaces import interfaces as interfaces1
+from debinterface.interfaces import interfaces as interfaces2
+
+adapters1 = interfaces1()  # For interfaces from the 'interfaces' package
+adapters2 = interfaces2()  # For interfaces from the 'debinterface' package
 
 # Download and prepare SQuAD dataset (not used directly here)
 squad = load_dataset("squad")
 
 # Load the pre-trained summarization model (adjust model name as needed)
-model_name = "facebook/bart-base"  # Choose a suitable summarization model
+model_name = "laptop_summarizer_1.pkl"  # Choose a suitable summarization model
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 
@@ -35,7 +40,5 @@ interface = gr.Interface(
     description="Enter your requirements & get valuable insight from Guru."  # Description of the interface
 )
 
-
-
 # Start the Gradio app
 interface.launch(inline=True)