added model

util/Recent_match_scrapper.py

@@ -219,6 +219,8 @@ def process_match_data(match_data, username, players):
         return None
 
 def get_matches_stats(region, username, max_retries=2):
+    print("====================== Inside get_matches_stats======================= \n")
+    print("input parameters, region: ", region, " username: ", username)
     """
     Get match stats for a single player with retry mechanism
     """

util/app.py

@@ -4,18 +4,7 @@ import pandas as pd
 import requests
 import xgboost as xgb
 from huggingface_hub import hf_hub_download
-
-from Recent_match_scrapper import get_multiple_matches_stats
-from Meta_scrapper import get_meta_stats
-from Leaderboard_scrapper import scrape_leaderboards
-from connection_check import check_connection
-from helper import merge_stats, filter_leaderboard, get_player_list
-from Player_scrapper import get_multiple_player_stats, get_player_stats
-from feature_eng import create_champion_features
-from Weekly_meta_scrapper import get_weekly_meta
 from app_training_df_getter import create_app_user_training_df
-from sklearn.metrics import top_k_accuracy_score
-
 import os
 import time
 from selenium import webdriver
@@ -25,7 +14,6 @@ from webdriver_manager.chrome import ChromeDriverManager
 from selenium.webdriver.common.by import By
 from selenium.webdriver.support.ui import WebDriverWait
 from selenium.webdriver.support import expected_conditions as EC
-from helper import format_summoner_name
 
 # Define champion list for dropdowns
 CHAMPIONS = [
@@ -63,16 +51,12 @@ except Exception as e:
 # Functions
 def get_user_training_df(player_opgg_url):
     try:
+        print("========= Inside get_user_training_df(player_opgg_url) ============= \n")
+        print("player_opgg_url: ", player_opgg_url, "\n")
 
         # Add input validation
         if not player_opgg_url or not isinstance(player_opgg_url, str):
             return "Invalid URL provided"
-        
-        print("type(player_opgg_url) : ", type(player_opgg_url))
-        print("player_opgg_url = ", player_opgg_url)
-        
-         # Add debugging print
-        print(f"Processing URL: {player_opgg_url}")
 
         training_df = create_app_user_training_df(player_opgg_url)
         return training_df
@@ -122,6 +106,7 @@ def show_stats(player_opgg_url):
 
 def predict_champion(player_opgg_url, *champions):
     """Make prediction based on selected champions"""
+
     if not player_opgg_url or None in champions:
         return "Please fill in all fields"
     
@@ -175,7 +160,8 @@ with gr.Blocks() as demo:
     )
 
 # Enable queuing
-demo.queue()
+demo.queue(debug = True)
+#demo.launch(share=True)
 
 # For local testing
 if __name__ == "__main__":

util/app_training_df_getter.py

@@ -1,26 +1,14 @@
-from Recent_match_scrapper import get_multiple_matches_stats, get_matches_stats
+from Recent_match_scrapper import get_matches_stats
 import os
 import pandas as pd
 import numpy as np
 from Meta_scrapper import *
-from Leaderboard_scrapper import scrape_leaderboards
-from connection_check import check_connection
-from helper import merge_stats, filter_leaderboard, get_player_list, process_kda_perfect, ChampionConverter
-from Player_scrapper import get_multiple_player_stats, get_player_stats
-from feature_eng import create_champion_features
+from helper import merge_stats,  process_kda_perfect, ChampionConverter
+from Player_scrapper import get_player_stats
 from Weekly_meta_scrapper import *
 import pandas as pd
 import re
 
-from selenium import webdriver
-from selenium.webdriver.chrome.service import Service
-from selenium.webdriver.chrome.options import Options
-from webdriver_manager.chrome import ChromeDriverManager
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-from helper import convert_percentage_to_decimal
-
 # ============================================ my functions =========================================================
 
 
@@ -450,8 +438,10 @@ def create_app_user_training_df(url):
 
         #weekly_meta_stats = get_weekly_meta()
 
+        print("========= Inside get_user_training_df(player_opgg_url) ============= \n")
+        print("input url: ", url, "\n")
+
         # Input validation
-        print("Input URL is: ", url, "\n")
         if not url or not isinstance(url, str):
             raise ValueError("Invalid URL provided")
 
@@ -533,3 +523,4 @@ def create_app_user_training_df(url):
 #url = "https://www.op.gg/summoners/euw/Agurin-EUW"
 #return_value = create_app_user_training_df(url)
 #print("type(Return_value):", type(return_value), "\n return value: \n", return_value)
+