Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import requests
+
+def search_huggingface_datasets(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)
+
+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.change(update_dropdown, inputs=dataset_dropdown, outputs=dataset_dropdown, queue=False, show_progress="hidden")
+demo.launch()