formatting

app.py

@@ -251,7 +251,10 @@ def request_payload(query, language, exact_search, num_results=10):
     return payload
 
 
-description = """# <p style="text-align: center;"> 🌸 🔎 ROOTS search tool 🔍 🌸 </p>
+title = (
+    """<p style="text-align: center; font-size:28px"> 🌸 🔎 ROOTS search tool 🔍 🌸 </p>"""
+)
+description = """
 The ROOTS corpus was developed during the [BigScience workshop](https://bigscience.huggingface.co/) for the purpose
 of training the Multilingual Large Language Model [BLOOM](https://huggingface.co/bigscience/bloom). This tool allows
 you to search through the ROOTS corpus. We serve a BM25 index for each language or group of languages included in
@@ -272,6 +275,8 @@ if __name__ == "__main__":
         exact_search_state = gr.State(False)
         lang_state = gr.State("")
 
+        with gr.Row():
+            gr.Markdown(value=title)
         with gr.Row():
             gr.Markdown(value=description)
         with gr.Row():
@@ -282,29 +287,30 @@ if __name__ == "__main__":
                 label="Query",
             )
         with gr.Row():
-            lang = gr.Dropdown(
-                choices=[
-                    "ar",
-                    "ca",
-                    "code",
-                    "en",
-                    "es",
-                    "eu",
-                    "fr",
-                    "id",
-                    "indic",
-                    "nigercongo",
-                    "pt",
-                    "vi",
-                    "zh",
-                    "detect_language",
-                    "all",
-                ],
-                value="en",
-                label="Language",
-            )
-        with gr.Row():
-            k = gr.Slider(1, 100, value=10, step=1, label="Max Results")
+            with gr.Column():
+                lang = gr.Dropdown(
+                    choices=[
+                        "ar",
+                        "ca",
+                        "code",
+                        "en",
+                        "es",
+                        "eu",
+                        "fr",
+                        "id",
+                        "indic",
+                        "nigercongo",
+                        "pt",
+                        "vi",
+                        "zh",
+                        "detect_language",
+                        "all",
+                    ],
+                    value="en",
+                    label="Language",
+                )
+            with gr.Column(scale=4):
+                k = gr.Slider(1, 100, value=10, step=1, label="Max Results")
         with gr.Row():
             submit_btn = gr.Button("Submit")
         with gr.Row(visible=False) as datasets_filter: