Update to note

app.py

@@ -169,6 +169,6 @@ outputs = [
     gr.Dataframe(label="Unique edges", type="pandas")  # Create a DataFrame output for the unique edges
 ]
 
-description = 'This Python script generates a knowledge graph from a PDF document. It uses several libraries including gradio for the web interface, spacy for natural language processing, networkx and matplotlib for graph generation, and fitz for PDF processing.'
+description = 'This Python script generates a knowledge graph from a PDF document. It uses several libraries including gradio for the web interface, spacy for natural language processing, networkx and pyvis for graph generation, and fitz for PDF processing.'
 iface = gr.Interface(fn=execute_process, inputs=inputs, outputs=outputs, title="PDF - NLP Knowledge graph - Interactive", description=description)  # Create an interface
 iface.launch()  # Launch the interface