text changes

app.py

@@ -141,7 +141,7 @@ def setup_how_to():
     expander.image(Image.open('./assets/HF_MODEL_ID_EXAMPLE.png'))
     expander.write("3. Test your chosen model by generating an image using an input prompt e.g.: 'A corgi with some cool sunglasses'\n")
     expander.image(Image.open('./assets/lykon_corgi.png'))
-    expander.write("4. Navigate to the '\U0001F30E General Eval.' or '\U0001F3AF Task-Oriented Eval.' tabs "
+    expander.write("4. Navigate to the '\U0001F30E Bias Eval. (BEval)' or '\U0001F3AF Task-Oriented BEval' tabs "
                    "   to evaluate your model once it has been loaded\n"
                    "5. Once you have generated some evaluation images, head over to the '\U0001F4C1 Generated Images' tab to have a look at them\n"
                    "6. To check out your evaluations or all of the TBYB Community evaluations, head over to the '\U0001F4CA Model Comparison' tab\n"
@@ -272,32 +272,33 @@ def setup_additional_information_tab(tab):
             promise that all T2I models will work - if you run into any issues that you think should be possible, feel
             free to reach out!
             - Currently, a model_index.json file is required to load models and use them with TBYB, we will look to
-            address other models in future works
+            address other models in the future
             - TBYB only works on T2I models hosted on HuggingFace, other model repositories are not currently supported
             - Adaptor models are currently not supported, we will look to add evaluation functionalities of these
             models in the future.
-            - Download, generation, inference and evaluation times are all hardware dependent. 
+            - Download, generation, inference and evaluation times are hardware dependent. We are currently deploying the
+            TBYB space on a T4 GPU. With more funding and usage, we plan on deploying more powerful GPU options.
             
             Keep in mind that these constraints may be removed or added to any time.
             """)
-        st.header('4. Misuse, Malicious Use, and Out-of-Scope Use')
+        st.header('4. Disclaimer')
         st.markdown(
             """
             Given this application is used for the assessment of T2I biases and relies on 
             pre-trained models available on HuggingFace, we are not responsible for any content generated 
             by public-facing models that have been used to generate images using this application. 
-            
-            TBYB is proposed as an auxiliary tool to assess model biases and thus, if a chosen model is found to output
+
+            Bias cannot be easily measured and we do not claim that our approach is without any faults. TBYB is proposed 
+            as an auxiliary tool to assess model biases and thus, if a chosen model is found to output
             insensitive, disturbing, distressing or offensive images that propagate harmful stereotypes or
             representations of marginalised groups, please address your concerns to the model providers.
             
-            
             However, given the TBYB tool is designed for bias quantification and is driven by transparency, it would be 
             beneficial to the TBYB community to share evaluations of biased T2I models!
             
-            We share no association with HuggingFace \U0001F917, we only use their services as a model repository, 
-            given their growth in popularity in the computer science community recently.
-            
+            Despite only being able to assess HuggingFace \U0001F917 models, we share no association with them outside of
+            hosting TBYB as a HuggingFace space. Given their growth in popularity in the computer science community and their
+            host of T2I model repositories, we have decided to host our web-app here.
             
             For further questions/queries or if you want to simply strike a conversation, 
             please reach out to Jordan Vice at: jordan.vice@uwa.edu.au""")
@@ -307,7 +308,7 @@ setup_how_to()
 
 
 if user_login_create():
-    tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(["\U0001F527 Setup", "\U0001F30E General Eval.", "\U0001F3AF Task-Oriented Eval.",
+    tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(["\U0001F527 Setup", "\U0001F30E Bias Eval. (BEval)", "\U0001F3AF Task-Oriented BEval.",
                                            "\U0001F4CA Model Comparison", "\U0001F4C1 Generated Images", "\U0001F4F0 Additional Information"])
     setup_additional_information_tab(tab6)