Update app.py

app.py

@@ -21,7 +21,8 @@ import plotly.graph_objects as go
 import torch.nn.functional as F
 import nltk
 from unidecode import unidecode
- 
+import time
+
 nltk.download('punkt')
 
 from writing_analysis import (
@@ -57,6 +58,8 @@ def plagiarism_check(
     # api_key = "AIzaSyCg1IbevcTAXAPYeYreps6wYWDbU0Kz8tg"
     cse_id = "851813e81162b4ed4"
 
+    time1 = time.perf_counter()
+    start = time.perf_counter()
     sentences = getSentences(input)
     urlCount = {}
     ScoreArray = []
@@ -78,12 +81,18 @@ def plagiarism_check(
         api_key,
         cse_id,
     )
+    print(f"Time for google search: {time.perf_counter()-time1}")
+    time1 = time.perf_counter()
+    
     print("Number of URLs: ", len(urlCount))
     print(urlList)
 
     # Scrape URLs in list
     formatted_tokens = []
     soups = asyncio.run(parallel_scrap(urlList))
+
+    print(f"Time for scraping: {time.perf_counter()-time1}")
+    time1 = time.perf_counter()
     print(len(soups))
     print(
         "Successful scraping: "
@@ -102,6 +111,9 @@ def plagiarism_check(
                 score = matchingScoreWithTimeout(sent, page_content)
                 ScoreArray[i][j] = score
 
+    print(f"Time for matching score: {time.perf_counter()-time1}")
+    time1 = time.perf_counter()
+
     # ScoreArray = asyncio.run(parallel_analyze_2(soups, sentences, ScoreArray))
     # print("New Score Array:\n")
     # print2D(ScoreArray)
@@ -177,6 +189,8 @@ def plagiarism_check(
 
     print(f"Formatted Tokens: {formatted_tokens}")
 
+    print(f"Time for plagiarism check: {time.perf_counter()-start}")
+
     return formatted_tokens