adde readme, fixed some plots

README.md

+# Install Instructions
+
+## Unity
+
+1) Import `convgenagents.unitypackage` into your project.
+2) Install `com.unity.nuget.newtonsoft-json` package from Unity Package Manager.
+3) Restart the project if you get `Failed to Find Entry-Points` error.
+
+# Execution Instructions
+
+## Python
+
+1) Start server using `python .\python\llm_server\server.py`
+
+## Unity
+
+1) Open sample-scene `ExampleScene`.
+2) Models can be selected in the Inspector of the `test` GameObject.
+3) Add an Agent in den Editor GUI: `Window/Generative Agents`
+4) Start instance
\ No newline at end of file

eval/python/plot_likert.py

@@ -143,8 +143,8 @@ data_refl = {
     }
 }
 
-data = data_refl
-title = "Reflections Evaluation"
+data = data_m_p1
+title = "Manual Conversation - Profile 1"
 
 # Likert scale labels
 labels = ['Disagree/Inconclusive', 'Somewhat Agree', 'Agree']
@@ -192,7 +192,8 @@ ax.set_xticklabels(questions)
 # Add source labels below each group of bars
 for i, source in enumerate(sources):
     for j in range(len(questions)):
-        ax.text(positions[j] + i * (bar_width + space_within_group) + bar_width / 2 - 0.3, -1.2, source, ha='center',
+        SPACE_BOTTOM = -1.2
+        ax.text(positions[j] + i * (bar_width + space_within_group) + bar_width / 2 - 0.3, SPACE_BOTTOM, source, ha='center',
                 va='top', rotation=45)
 
 # Add legend
@@ -200,4 +201,4 @@ ax.legend()
 
 # Display the plot
 plt.savefig("llm_server/eval_files/scenario/" + title + ".png", transparent=True)
-# plt.show()
+plt.show()