Update app.py

app.py

@@ -401,7 +401,7 @@ Carbon emissions were measured during the development and inference process usin
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 | Inference | API call to turbo-GPT | ~0.38gCO2e / call | https://medium.com/@chrispointon/the-carbon-footprint-of-chatgpt-e1bc14e4cc2a |
 
-Carbon Emissions are **relatively low but not negligible** compared to other usages: one question asked to ClimateQ&A is around 0.482gCO2e - equivalent to 2.2m by car (https://datagir.ademe.fr/apps/impact-co2/)  
+Carbon Emissions are **relatively low but not negligible** compared to other usages: one question asked to TKO Q&A is around 0.482gCO2e - equivalent to 2.2m by car (https://datagir.ademe.fr/apps/impact-co2/)  
 Or around 2 to 4 times more than a typical Google search. 
 
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