små fix

helper/text/help/faq_discussion/faq.md

@@ -4,10 +4,10 @@
 **A**: Absolutely. Uploaded files are not saved or stored.
 
 **Q**: <u>Why am I always in a queue?</u>
-**A**: This is due to hardware constraints and rate limits imposed by Hugging Face. For alternative ways to use the app, refer to the **Documentation** tab under **Duplication for Own Use & API**.
+**A**: This is due to hardware constraints and rate limits imposed by Hugging Face. For alternative ways to use the app, refer to the tab > **Documentation** under > **Duplication for Own Use & API**.
 
-**Q**: <u>Why is inference slow?</u>
-**A**: The current speed is due to hardware limitations and the present state of the code. However, we plan to update the application in future releases, which will significantly improve inference times.
+**Q**: <u>Why is Fast track so slow?</u>
+**A**: The current speed is due to hardware limitations and the present state of the code. However, we plan to update the application in future releases, which will significantly improve run time and performance of the application.
 
-**Q**: <u>Is batch inference possible?</u>
+**Q**: <u>Is possible to run Fast track or the API on multiple images on same time?</u>
 **A**: Not currently, but we plan to add this feature in the future.

helper/text/text_app.py

@@ -6,7 +6,7 @@ class TextApp:
 
     <h1><center> HTRFLOW </center></h1>
 
-    <p><center>Explore AI models for historical HTR developed by the Swedish National Archives </center></p>"""
+    <p><center>Explore AI models for Handwritten Text Recogntion developed by the Swedish National Archives </center></p>"""
 
     title_markdown_img = """
     <a href="https://riksarkivet.se">

tabs/htr_tool.py

@@ -58,7 +58,7 @@ with gr.Blocks() as htr_tool_tab:
                         )
 
                     selection_text_from_image_viewer = gr.Textbox(
-                        interactive=False, label="Text Selector", info="Select a mask on Image Viewer to return text"
+                        interactive=False, label="Text Selector", info="Select a line on Image Viewer to return text"
                     )
 
                 with gr.Tab("Compare") as tab_model_compare_selector:

tabs/stepwise_htr_tool.py

@@ -197,7 +197,7 @@ with gr.Blocks() as stepwise_htr_tool_tab:
                                 )
 
                     with gr.Row():
-                        copy_textarea = gr.Button("Copy Text", variant="secondary", visible=True, scale=1)
+                        copy_textarea = gr.Button("Copy text", variant="secondary", visible=True, scale=1)
 
                         transcribe_button = gr.Button("Run", variant="primary", visible=True, scale=1)
 
@@ -259,14 +259,14 @@ with gr.Blocks() as stepwise_htr_tool_tab:
                         )
 
                     with gr.Row(equal_height=False):
-                        cer_output = gr.Textbox(label="CER:")
+                        cer_output = gr.Textbox(label="Character Error Rate")
                         gr.Markdown("")
                         calc_cer_button = gr.Button("Calculate CER", variant="primary", visible=True)
 
                 with gr.Column(scale=1, visible=True):
                     mapping_dict = gr.Variable()
                     transcribed_text_df_finish = gr.Dataframe(
-                        headers=["Transcribed text", "Pred score"],
+                        headers=["Transcribed text", "Prediction score"],
                         max_rows=14,
                         col_count=(2, "fixed"),
                         wrap=True,