Update app.py

app.py

@@ -8,6 +8,52 @@ API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "
 OPENAI_API_KEY= os.environ["HF_TOKEN"] # Add a token to this space .  Then copy it to the repository secret in this spaces settings panel.  os.environ reads from there.
 # Keys for Open AI ChatGPT API usage are created from here: https://platform.openai.com/account/api-keys
 
+
+def get_wiki_summary(search):
+    wiki_wiki = wikipediaapi.Wikipedia('en')
+    page = wiki_wiki.page(search)
+
+    isExist = page.exists()
+    if not isExist:
+        return isExist, "Not found", "Not found", "Not found", "Not found"
+
+    pageurl = page.fullurl
+    pagetitle = page.title
+    pagesummary = page.summary[0:60]
+    pagetext = get_pagetext(page.text)
+
+    backlinks = page.backlinks
+    linklist = ""
+    for link in backlinks.items():
+      pui = link[0]
+      linklist += pui + " ,  "
+      a=1 
+      
+    categories = page.categories
+    categorylist = ""
+    for category in categories.items():
+      pui = category[0]
+      categorylist += pui + " ,  "
+      a=1     
+    
+    links = page.links
+    linklist2 = ""
+    for link in links.items():
+      pui = link[0]
+      linklist2 += pui + " ,  "
+      a=1 
+      
+    sections = page.sections
+    
+    ex_dic = {
+      'Entity' : ["URL","Title","Summary", "Text", "Backlinks", "Links", "Categories"],
+      'Value': [pageurl, pagetitle, pagesummary, pagetext, linklist,linklist2, categorylist ]
+    }
+
+    df = pd.DataFrame(ex_dic)
+    
+    return df
+
 def predict(inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):  #repetition_penalty, top_k
 
     # 1. Set up a payload