diff --git a/app.py b/app.py
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+++ b/app.py
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+from flask import Flask, render_template, request
+import pandas as pd
+from fuzzy_controllers import fuzzy_controler_similiarity
+from numpy import dot
+from numpy.linalg import norm
+import json
+import multiprocessing
+import tqdm
+
+app = Flask(__name__)
+
+
+
+def find_games_categorical_similarity(game_1: pd.DataFrame, game_2: pd.DataFrame) -> float:
+ game_1_categorical = set(game_1['all_categorical'].tolist()[0])
+ game_2_categorical = set(game_2['all_categorical'].tolist()[0])
+ return round(len(game_1_categorical & game_2_categorical) / len(game_1_categorical | game_2_categorical), 2)
+
+
+def find_games_numerical_similarity(game_1: pd.DataFrame, game_2: pd.DataFrame) -> float:
+ game_1_popularity = float(game_1["fuzzy_popularity"].to_string(index=False))
+ game_2_popularity = float(game_2["fuzzy_popularity"].to_string(index=False))
+ return round(abs(game_1_popularity - game_2_popularity), 2)
+
+
+def find_games_word_vector_distance(game_1: pd.DataFrame, game_2: pd.DataFrame) -> float:
+ game_1_vector = game_1['all_categorical_vector'].tolist()[0]
+ game_2_vector = game_2['all_categorical_vector'].tolist()[0]
+ return round(dot(game_1_vector, game_2_vector) / (norm(game_1_vector) * norm(game_2_vector)), 2)
+
+
+def calculate_similarities(game_title, title_list, df):
+ if game_title in title_list:
+ title_list.remove(game_title)
+
+ args_list = []
+ for compared_title in title_list:
+ args_list.append((game_title, compared_title, df))
+
+ similarities = []
+ # call the function for each item in parallel with multiprocessing
+ with multiprocessing.Pool() as pool:
+ for result in pool.starmap(compare_games, tqdm.tqdm(args_list, total=len(args_list), desc='Searching')):
+ similarities.append(result)
+
+ all_games = []
+ for title, similarity in zip(title_list, similarities):
+ all_games.append({
+ "title": title,
+ "similarity": similarity
+ })
+
+ sorted_games = sorted(all_games, key=lambda k: k['similarity'], reverse=True)
+ print("\n ==== Top 20 most similar games: ====")
+ for game in sorted_games[:20]:
+ print(f"- {game['title']}")
+ return sorted_games[:20]
+ # save_results(game_title=game_title, game_list=sorted_games)
+
+def save_results(game_title, game_list):
+ print("The full list of similar games available in the /results directory\n")
+ with open(f"results/similarity_list_{game_title.lower().replace(' ', '_')}.txt", 'w+') as fp:
+ json.dump(game_list, fp)
+
+def compare_games(title_1, title_2, df, show_graph=False):
+ game_1 = df.loc[df['name'] == title_1]
+ game_2 = df.loc[df['name'] == title_2]
+
+ categorical_similarity = find_games_categorical_similarity(game_1=game_1, game_2=game_2)
+ numerical_difference = find_games_numerical_similarity(game_1=game_1, game_2=game_2)
+ word_vector_distance = find_games_word_vector_distance(game_1=game_1, game_2=game_2)
+ similarity_score = fuzzy_controler_similiarity(categorical_data=categorical_similarity,
+ numerical_data=numerical_difference,
+ vector_distance=word_vector_distance, show_graph=show_graph)
+ return similarity_score
+
+
+if __name__ == '__main__':
+
+ df = pd.read_pickle('data/games_processed_vectorized.csv')
+ title_list = df["name"].values.tolist()
+ while True:
+ print("Welcome to Fuzzy Game Reccomender!\nType in a game title and we will find the most similar games from our database")
+ title = input("Enter the title or type 'exit' to leave: ")
+ if title == "exit":
+ break
+ else:
+ calculate_similarities(game_title=title, title_list=title_list, df=df)
+
+
+@app.route('/')
+def index():
+ return render_template('index.html')
+
+
+@app.route('/', methods=['POST'])
+def form_post():
+ df = pd.read_pickle('data/games_processed_vectorized.csv')
+ first_game = request.form['first_game']
+ second_game = request.form['second_game']
+ third_game = request.form['third_game']
+ processed_text1 = first_game
+ processed_text2 = second_game
+ processed_text3 = third_game
+
+ title_list = df["name"].values.tolist()
+ similarities = calculate_similarities(game_title=processed_text1, title_list=title_list, df=df)
+
+ return similarities
diff --git a/templates/index.html b/templates/index.html
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+++ b/templates/index.html
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