Update app.py

app.py

@@ -2,26 +2,24 @@ import gradio as gr
 import requests
 
 def search_huggingface_datasets(query):
-    print(query)
     if not query:  # If the query is empty, return an empty list
         return []
     url = f"https://huggingface.co/api/quicksearch?q={query}&type=dataset&limit=20"
-    print(url)
     response = requests.get(url)
     if response.status_code == 200:
         data = response.json()
-        print(data)
         dataset_names = [d['id'] for d in data['datasets']]
         return dataset_names
     else:
         return ["Error fetching datasets"]
 
-def update_dropdown(query):
-    datasets = search_huggingface_datasets(query)
-    return gr.update(choices=datasets, visible=True)
+def update_dropdown(query, key_up_data: gr.KeyUpData):
+    datasets = search_huggingface_datasets(key_up_data.input_value)
+    print(key_up_data.input_value)
+    return gr.update(choices=datasets, value=key_up_data.input_value, visible=True)
 
 with gr.Blocks() as demo:
     with gr.Row():
         dataset_dropdown = gr.Dropdown(label="Datasets", choices=[""], elem_id="dataset_list", interactive=True, filterable=True, allow_custom_value=True)
-    dataset_dropdown.key_up(update_dropdown, inputs=dataset_dropdown, outputs=dataset_dropdown, queue=False, show_progress="hidden")
+    dataset_dropdown.key_up(fn=update_dropdown, inputs=dataset_dropdown, outputs=dataset_dropdown, queue=False, show_progress="hidden")
 demo.launch()