minor update

README.md

@@ -26,7 +26,7 @@ Once you have Codex access you can use `code-davinci-002`. Using the GPT-3 model
 
 ## Usage 
 1. Fill in the API Key, model name, and how many blocks and bowls to be spawned in the environment. 
-2. Click Setup/Reset Env
+2. Click Setup/Reset Simulation
 3. Based on the new randomly sampled object names, input an instruction and click Run Instruction. If successful, this will render a video and update the simulation environment visualization.
 
 You can run instructions in sequence and refer back to previous instructions (e.g. do the same with other blocks, move the same block to the other bowl, etc). Click Setup/Reset Env to reset, and this will clear the current instruction history.

app.py

@@ -133,7 +133,7 @@ if __name__ == '__main__':
                     inp_n_blocks = gr.Slider(label='Number of Blocks', minimum=0, maximum=4, value=3, step=1)
                     inp_n_bowls = gr.Slider(label='Number of Bowls', minimum=0, maximum=4, value=3, step=1)
             
-                btn_setup = gr.Button("Setup/Reset Env")
+                btn_setup = gr.Button("Setup/Reset Simulation")
                 info_setup = gr.Markdown(label='Setup Info')
             with gr.Column():
                 img_setup = gr.Image(label='Current Simulation')