feat: Add basic layout textcat

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 
 from src.distilabel_dataset_generator.apps.faq import app as faq_app
 from src.distilabel_dataset_generator.apps.sft import app as sft_app
+from src.distilabel_dataset_generator.apps.textcat import app as textcat_app
 
 theme = gr.themes.Monochrome(
     spacing_size="md",
@@ -25,8 +26,8 @@ css = """
 """
 
 demo = gr.TabbedInterface(
-    [sft_app, faq_app],
-    ["Supervised Fine-Tuning", "FAQ"],
+    [sft_app, textcat_app, faq_app],
+    ["Supervised Fine-Tuning", "Text Classification", "FAQ"],
     css=css,
     title="""
     <style>

src/distilabel_dataset_generator/apps/sft.py

@@ -21,7 +21,7 @@ from src.distilabel_dataset_generator.pipelines.sft import (
     get_response_generator,
 )
 from src.distilabel_dataset_generator.utils import (
-    get_login_button,
+    get_base_app,
     get_org_dropdown,
     swap_visibilty,
 )
@@ -233,24 +233,7 @@ def upload_pipeline_code(
     progress(1.0, desc="Pipeline code uploaded")
 
 
-css = """
-.main_ui_logged_out{opacity: 0.3; pointer-events: none}
-"""
-
-with gr.Blocks(
-    title="🧬 Synthetic Data Generator",
-    head="🧬  Synthetic Data Generator",
-    css=css,
-) as app:
-    with gr.Row():
-        gr.Markdown(
-            "Want to run this locally or with other LLMs? Take a look at the FAQ tab. distilabel Synthetic Data Generator is free, we use the authentication token to push the dataset to the Hugging Face Hub and not for data generation."
-        )
-    with gr.Row():
-        gr.Column()
-        get_login_button()
-        gr.Column()
-
+with get_base_app() as app:
     gr.Markdown("## Iterate on a sample dataset")
     with gr.Column() as main_ui:
         dataset_description = gr.TextArea(

src/distilabel_dataset_generator/apps/textcat.py

@@ -0,0 +1,4 @@
+from src.distilabel_dataset_generator.utils import get_base_app
+
+with get_base_app() as app:
+    pass

src/distilabel_dataset_generator/utils.py

@@ -81,3 +81,28 @@ def swap_visibilty(oauth_token: OAuthToken = None):
         return gr.update(elem_classes=["main_ui_logged_in"])
     else:
         return gr.update(elem_classes=["main_ui_logged_out"])
+
+
+def get_base_app():
+    with gr.Blocks(
+        title="🧬 Synthetic Data Generator",
+        head="🧬  Synthetic Data Generator",
+        css=_LOGGED_OUT_CSS,
+    ) as app:
+        with gr.Row():
+            gr.Markdown(
+                "Want to run this locally or with other LLMs? Take a look at the FAQ tab. distilabel Synthetic Data Generator is free, we use the authentication token to push the dataset to the Hugging Face Hub and not for data generation."
+            )
+        with gr.Row():
+            gr.Column()
+            get_login_button()
+            gr.Column()
+
+        gr.Markdown("## Iterate on a sample dataset")
+        with gr.Column() as main_ui:
+            pass
+
+    return app
+
+
+_LOGGED_OUT_CSS = ".main_ui_logged_out{opacity: 0.3; pointer-events: none}"