Create demo with dataframe

app.py

@@ -29,8 +29,25 @@ def greet(name):
     return "Hello " + name + "!!"
 
 
-# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-# iface.launch()
+repo = pull_dataset_repo()
+datasets = hfh.list_datasets()
+
+
+def filter_datasets_by_date():
+    date_from = "2022-10-09"
+    date_to = "2022-10-10"
+    with open(f"{DATA_PATH}/{date_from}.json", "w") as f:
+        ids_from = json.load(f)
+    with open(f"{DATA_PATH}/{date_to}.json", "w") as f:
+        ids_to = json.load(f)
+    ids = set(ids_to) - set(ids_from)
+    dss = sorted([ds for ds in datasets if ds.id in ids], key=lambda item: item.downloads, reverse=True)
+    return dss
+
+
+def filter_dataframe(name):
+    dss = filter_datasets_by_date()
+    return [[ds.id, ds.downloads] for ds in dss]
 
 
 def update_datasets():
@@ -50,5 +67,14 @@ scheduler.add_job(update_datasets, trigger="cron", hour=0, minute=1, timezone=da
 scheduler.start()
 
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo = gr.Interface(
+    fn=filter_dataframe,
+    inputs="text",
+    outputs=gr.Dataframe(
+            headers=["Dataset", "Downloads"],
+            datatype=["str", "number"],
+            label="Created datasets",
+        ),
+)
 demo.launch()