fix: make prettier

app.py

@@ -143,58 +143,80 @@ demo = gr.Blocks()
 
 with demo:
     with gr.Box():
-        with gr.Row():
-            with gr.Row():
-                gr.Markdown("Chose a language model")
-                model_input = gr.Dropdown(
-                    choices=models, value=DEFAULT_MODEL, interactive=True, label="Pretrained Pipelines")
-                text_button = gr.Button("Get text in new language")
-            with gr.Row():
-                text_input = gr.Textbox(
-                value=DEFAULT_TEXT, interactive=True, label="Input Text")
-        button = gr.Button("Generate", variant="primary")
-    with gr.Column():
-        gr.Markdown("Dependency Parser")
-        col_punct = gr.Checkbox(label="Collapse Punctuation", value=True)
-        col_phrase = gr.Checkbox(label="Collapse Phrases", value=True)
-        compact = gr.Checkbox(label="Compact", value=False)
-        depen_output = gr.HTML(value=dependency(DEFAULT_TEXT, True, True, False, DEFAULT_MODEL))
-        dep_button = gr.Button("Generate Dependency Parser")
-        gr.Markdown("Entity Recognizer")
-        entity_input = gr.CheckboxGroup(DEFAULT_ENTS, value=DEFAULT_ENTS)
-        entity_output = gr.HTML(value=entity(DEFAULT_TEXT, DEFAULT_ENTS, DEFAULT_MODEL))
-        ent_button = gr.Button("Generate Entity Recognizer")
-        gr.Markdown("Token Properties")
-        with gr.Column():
-            tok_input = gr.CheckboxGroup(
-                DEFAULT_TOK_ATTR, value=DEFAULT_TOK_ATTR)
-            tok_output = gr.Dataframe(value=default_token(DEFAULT_TEXT, DEFAULT_TOK_ATTR, DEFAULT_MODEL),overflow_row_behaviour="paginate")
-        tok_button = gr.Button("Generate Token Properties")
-        gr.Markdown("Word and Phrase Similarity")
-        with gr.Row():
-            sim_text1 = gr.Textbox(
-                value="Apple", label="Chosen", interactive=True,)
-            sim_text2 = gr.Textbox(
-                value="U.K. startup", label="Chosen", interactive=True,)
-        sim_output = gr.Textbox(label="Similarity Score", value="0.12")
-        sim_random_button = gr.Button("Generate random words")
-        sim_button = gr.Button("Generate similarity")
-        gr.Markdown("Spans")
         with gr.Column():
+            gr.Markdown(" ## Chose a language model and input text")
             with gr.Row():
-                span1 = gr.Textbox(
-                    label="Span 1", value="U.K. startup", placeholder="Input a part of the sentence")
-                label1 = gr.Textbox(value="ORG",
-                                    label="Label for Span 1")
+                with gr.Column():
+                    model_input = gr.Dropdown(
+                        choices=models, value=DEFAULT_MODEL, interactive=True, label="Pretrained Pipelines")
+                with gr.Column():
+                    gr.Markdown("")
+                with gr.Column():
+                    gr.Markdown("")
+                with gr.Column():
+                    gr.Markdown("")
+            
+            text_button = gr.Button("Get text in model language")
             with gr.Row():
-                span2 = gr.Textbox(
-                    label="Span 2", value="U.K.", placeholder="Input another part of the sentence")
-                label2 = gr.Textbox(value="GPE",
-                                    label="Label for Span 2")
-            span_output = gr.HTML(value=span(DEFAULT_TEXT, "U.K. startup", "U.K.", "ORG", "GPE", DEFAULT_MODEL))
-            gr.Markdown(value="\n\n\n\n")
-            gr.Markdown(value="\n\n\n\n")
-            span_button = gr.Button("Generate spans")
+                with gr.Column():
+                    text_input = gr.Textbox(
+                        value=DEFAULT_TEXT, interactive=True, label="Input Text")
+                with gr.Column():
+                    gr.Markdown("")
+            button = gr.Button("Generate", variant="primary")
+    with gr.Column():
+        with gr.Box():
+            with gr.Column():
+                gr.Markdown("### Dependency Parser")
+                col_punct = gr.Checkbox(label="Collapse Punctuation", value=True)
+                col_phrase = gr.Checkbox(label="Collapse Phrases", value=True)
+                compact = gr.Checkbox(label="Compact", value=False)
+                depen_output = gr.HTML(value=dependency(DEFAULT_TEXT, True, True, False, DEFAULT_MODEL))
+                dep_button = gr.Button("Generate Dependency Parser")
+        with gr.Box():
+            with gr.Column():
+                gr.Markdown("Entity Recognizer")
+                entity_input = gr.CheckboxGroup(DEFAULT_ENTS, value=DEFAULT_ENTS)
+                entity_output = gr.HTML(value=entity(DEFAULT_TEXT, DEFAULT_ENTS, DEFAULT_MODEL))
+                ent_button = gr.Button("Generate Entity Recognizer")
+        with gr.Box():
+            with gr.Column():
+                gr.Markdown("### Token Properties")
+                with gr.Column():
+                    tok_input = gr.CheckboxGroup(
+                        DEFAULT_TOK_ATTR, value=DEFAULT_TOK_ATTR)
+                    tok_output = gr.Dataframe(headers=DEFAULT_TOK_ATTR, value=default_token(DEFAULT_TEXT, DEFAULT_TOK_ATTR, DEFAULT_MODEL), overflow_row_behaviour="paginate")
+                tok_button = gr.Button("Generate Token Properties")
+        with gr.Box():
+            with gr.Column():
+                gr.Markdown("### Word and Phrase Similarity")
+                with gr.Row():
+                    sim_text1 = gr.Textbox(
+                        value="Apple", label="Word 1", interactive=True,)
+                    sim_text2 = gr.Textbox(
+                        value="U.K. startup", label="Word 2", interactive=True,)
+                    sim_output = gr.Textbox(label="Similarity Score", value="0.12")
+                sim_random_button = gr.Button("Generate random words")
+                sim_button = gr.Button("Generate similarity")
+        with gr.Box():
+            with gr.Column():
+                gr.Markdown("### Spans")
+                with gr.Column():
+                    with gr.Row():
+                        span1 = gr.Textbox(
+                            label="Span 1", value="U.K. startup", placeholder="Input a part of the sentence")
+                        label1 = gr.Textbox(value="ORG",
+                                            label="Label for Span 1")
+                    with gr.Row():
+                        span2 = gr.Textbox(
+                            label="Span 2", value="U.K.", placeholder="Input another part of the sentence")
+                        label2 = gr.Textbox(value="GPE",
+                                            label="Label for Span 2")
+                    span_output = gr.HTML(value=span(DEFAULT_TEXT, "U.K. startup", "U.K.", "ORG", "GPE", DEFAULT_MODEL))
+                    gr.Markdown(value="\n\n\n\n")
+                    gr.Markdown(value="\n\n\n\n")
+                    span_button = gr.Button("Generate spans")
+    
     text_button.click(get_text, inputs=[model_input], outputs=text_input)
     button.click(dependency, inputs=[
         text_input, col_punct, col_phrase, compact, model_input], outputs=depen_output)