Update src/streamlit_app.py

src/streamlit_app.py

@@ -169,7 +169,7 @@ with tab1:
         speech data from noisy and non-noisy environments. However, to ensure that we proceed in a cost-efficient 
         and sustainable approach, we deem it necessary to understand the amount of data that we need to collect 
         for African languages. Hence, we propose to leverage the Mozilla Common Voice (MCV) platform and other 
-        appropriate and openly available / open-source repositories of African language datasets (see Appendix One) 
+        appropriate and openly available / open-source repositories of African language datasets
         to build automatic speech recognition models and test their performance to learn if the data collected was sufficient.
         
         ### What is a “Good ASR Model”?