Update app.py

app.py

@@ -7,19 +7,14 @@ Original file is located at
     https://colab.research.google.com/drive/1omNn2hrbDL_s1qwCOr7ViaIjrRW61YDt
 """
 
-# !pip install gradio
-
 # Commented out IPython magic to ensure Python compatibility.
-# 
 # %%capture
-# import multiprocessing
-# 
-# multiprocessing.cpu_count()
+# !pip install gradio
 # 
 # !pip install cmocean
-# !pip install git+https://github.com/MNoichl/mesa
+# !pip install mesa
 # 
-# !pip install compress-pickle --quiet
+#
 
 import random
 import pandas as pd
@@ -45,7 +40,10 @@ from scipy.stats import beta
 
 # Commented out IPython magic to ensure Python compatibility.
 # %%capture
-# !pip install git+https://github.com/MNoichl/opinionated.git#egg=opinionated
+# # !pip install git+https://github.com/MNoichl/opinionated.git#egg=opinionated
+# # import opinionated
+# # plt.style.use("opinionated_rc")
+# !pip install opinionated
 import opinionated
 import matplotlib.pyplot as plt
 
@@ -54,6 +52,7 @@ from opinionated.core import download_googlefont
 download_googlefont('Quicksand', add_to_cache=True)
 plt.rc('font', family='Quicksand')
 
+
 experiences = {
             'dissident_experiences': [1,0,0],
             'supporter_experiences': [1,1,1],
@@ -585,7 +584,7 @@ def run_and_plot_simulation(n_agents=300, share_regime_supporters=0.4, threshold
     plt.plot(mean_estimation.index, mean_estimation, color='black', linewidth=2)
 
     # Set the plot title and labels
-    plt.title('Agent Estimation Over Time')
+    plt.title('Agent Estimation Over Time', loc='right')
     plt.xlabel('Time step')
     plt.ylabel('Estimation')
     return fig
@@ -600,7 +599,9 @@ import matplotlib.pyplot as plt
 # Gradio interface
 with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
   with gr.Column():
-    gr.Markdown("# Simulation Visualization Interface")
+    gr.Markdown("""# Simulate Revolutions
+                    Agents are placed on a flly connected graph. Vary the parameters below, and click 'Run Simulation' to run.
+                """)
     with gr.Row():
       with gr.Column():