:memo: copy edit for widget output

carbon_footprint_gradio.py

@@ -37,11 +37,11 @@ llama32_3b_pipe = pipeline(
 )
 
 def calc_co2e_response(co2grams: float):
-    response = f""" This query generated {co2grams:.4f} grams of CO2e.
+    response = f"""Your query just produced approximately {co2grams:.4f} grams of CO2e.
     
-This is equivalent to approximately {co2grams*8:.4f} grams of CO2e per user per day, based on the average number of queries sent in per user per day on ChatGPT.
+On average, eight queries are sent per user per day to ChatGPT. If you were to run this specific query using this (our?? what is it? you could specifi if you want?) model seven more times, it would generate approximately {co2grams*8:.4f} grams of CO2e.
 
-By global usage statistics, this would equate to roughly {co2grams*1e3:.4f} metric tonnes of CO2e per day, based on total worldwide number of queries sent to ChatGPT daily.
+The average number of queries sent to ChatGPT per day globally is 1 billion. Using this model, running this query 1 billion times would equate to roughly {co2grams*1e3:.4f} metric tonnes of CO2e emissions.
     """
     return response