Update app.py

app.py

@@ -1,41 +1,56 @@
-import requests
-import pandas as pd
 import gradio as gr
+import pandas as pd
+import requests
 from huggingface_hub.hf_api import SpaceInfo
 
-
-
 path = f"https://huggingface.co/api/spaces"
 
 
-    
-def get_hugging_learners_spaces():
+def get_platzi_spaces():
     r = requests.get(path)
     d = r.json()
     spaces = [SpaceInfo(**x) for x in d]
     blocks_spaces = {}
-    for i in range(0,len(spaces)):
-        if spaces[i].id.split('/')[0] == 'hugginglearners' and hasattr(spaces[i], 'likes') and spaces[i].id != 'hugginglearners/Hearts_Leaderboard' and spaces[i].id != 'hugginglearners/README':
-            blocks_spaces[spaces[i].id]=spaces[i].likes
+    for i in range(0, len(spaces)):
+        if (
+            spaces[i].id.split("/")[0] == "platzi"
+            and hasattr(spaces[i], "likes")
+            and spaces[i].id != "platzi/platzi-leaderboard"
+            and spaces[i].id != "platzi/README"
+            and spaces[i].id != "platzi/platzi-curso-streamlit-segmentacion-imagenes"
+            and spaces[i].id != "platzi/platzi-curso-gradio-asr"
+            and spaces[i].id != "platzi/platzi-curso-gradio-blocks"
+            and spaces[i].id != "platzi/platzi-curso-gradio-tf-clasificacion-imagenes"
+            and spaces[i].id != "platzi/platzi-curso-gradio-clasificacion-imagenes"
+        ):
+            blocks_spaces[spaces[i].id] = spaces[i].likes
     df = pd.DataFrame(
-    [{"Spaces_Name": Spaces, "likes": likes} for Spaces,likes in blocks_spaces.items()])
-    df = df.sort_values(by=['likes'],ascending=False)
+        [
+            {"Spaces_Name": Spaces, "likes": likes}
+            for Spaces, likes in blocks_spaces.items()
+        ]
+    )
+    df = df.sort_values(by=["likes"], ascending=False)
     return df
 
 
 block = gr.Blocks()
 
-with block:    
-    gr.Markdown("""### Leaderboard of the most popular **fastai X Hugging Face Group** (the Hugging Learners) Spaces""")
-    gr.Markdown("""Learn more, join and become a Hugging Learner. The instructions are <a href="https://huggingface.co/hugginglearners" target="_blank" style="text-decoration: underline">here.</a>""")
+with block:
+    gr.Markdown(
+        """### Leaderboard de los Spaces (demos) más populares creados por estudiantes del curso de **creación de demos de Platzi**."""
+    )
+    gr.Markdown(
+        """Aprende más sobre el curso aquí y comparte para obtener más corazones 🤗.</a>"""
+    )
 
     with gr.Tabs():
-        with gr.TabItem("Leaderboard of spaces with the most hearts"):
+        with gr.TabItem("Leaderboard de los Spaces con más corazones"):
             with gr.Row():
                 data = gr.outputs.Dataframe(type="pandas")
             with gr.Row():
-                data_run = gr.Button("Refresh")
-                data_run.click(get_hugging_learners_spaces, inputs=None, outputs=data)
+                data_run = gr.Button("Refrescar")
+                data_run.click(get_platzi_spaces, inputs=None, outputs=data)
 
-    block.load(get_hugging_learners_spaces, inputs=None, outputs=data)                
-block.launch()
+    block.load(get_platzi_spaces, inputs=None, outputs=data)
+block.launch()