Add application file

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import spacy
+import requests
+from bs4 import BeautifulSoup
+
+# Load the pre-trained model
+nlp = spacy.load("en_core_web_sm")
+
+def extract_entities(url):
+ # Step 1: Web scraping
+ response = requests.get(url)
+ soup = BeautifulSoup(response.text, 'html.parser')
+ page_text = soup.get_text()
+
+ # Apply the model to the text
+ doc = nlp(page_text)
+
+ # Extract entities and return as a formatted string
+ results = "\n".join([f"{entity.text} ({entity.label_})" for entity in doc.ents])
+ return results
+
+iface = gr.Interface(fn=extract_entities, 
+ inputs="textbox", 
+ outputs="text",
+ interpretation="default")
+
+iface.launch()