Create ActorSim-backup-app.py

ActorSim-backup-app.py

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+import streamlit as st
+import random
+import pandas as pd
+
+# Define the game mechanics
+
+def generate_scenario():
+    scenarios = ['You are a superhero saving the world from a meteorite', 
+                 'You are a pirate searching for treasure on a deserted island', 
+                 'You are a chef trying to win a cooking competition', 
+                 'You are a detective solving a murder case']
+    return random.choice(scenarios)
+
+def calculate_score(slider_values):
+    bluffing_score = slider_values[0]
+    deduction_score = slider_values[1]
+    humor_score = slider_values[2]
+    memory_score = slider_values[3]
+    roleplay_score = slider_values[4]
+
+    total_score = bluffing_score + deduction_score + humor_score + memory_score + roleplay_score
+    return total_score
+
+def play_game(slider_values):
+    scenario = generate_scenario()
+    st.write('Act out the following scenario: ' + scenario)
+    total_score = calculate_score(slider_values)
+    st.write('Your total score is: ' + str(total_score))
+
+    # Save game history to a dataframe
+    game_history_df = pd.DataFrame({'Scenario': [scenario],
+                                    'Bluffing': [slider_values[0]],
+                                    'Deduction': [slider_values[1]],
+                                    'Humor': [slider_values[2]],
+                                    'Memory': [slider_values[3]],
+                                    'Roleplay': [slider_values[4]],
+                                    'Total Score': [total_score]})
+    return game_history_df
+
+def save_game_history(game_history_df):
+    game_history_df.to_csv('game_history.csv', index=False)
+    st.write('Game history saved!')
+    st.write(game_history_df)
+
+def run_simulations():
+    simulations = 1000
+    total_scores = []
+    for i in range(simulations):
+        slider_values = [random.randint(1, 10) for i in range(5)]
+        total_score = calculate_score(slider_values)
+        total_scores.append(total_score)
+    st.write('Average score from ' + str(simulations) + ' simulations: ' + str(sum(total_scores)/len(total_scores)))
+
+
+# Define the Streamlit app
+
+st.title('Acting Game Mechanics')
+st.write('Welcome to the Acting Game Mechanics! This game measures your ability to bluff, deduce, use humor, remember details, and role-play. Drag the sliders to the left or right to adjust each skill, and click "Play" to act out a scenario and receive a score.')
+
+slider_values = [st.slider('Bluffing', 1, 10, 5),
+                 st.slider('Deduction', 1, 10, 5),
+                 st.slider('Humor', 1, 10, 5),
+                 st.slider('Memory', 1, 10, 5),
+                 st.slider('Roleplay', 1, 10, 5)]
+
+if st.button('Play'):
+    game_history_df = play_game(slider_values)
+    save_game_history(game_history_df)
+
+if st.button('Run simulations'):
+    run_simulations()