Create app.py

app.py

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+import gradio as gr
+from roboflow2huggingface import roboflow_to_huggingface_pipeline
+
+# https://pypi.org/project/roboflow2huggingface/
+def process(rf_public_url, hf_api_key, rf_api_key, dataset_name):
+    if not rf_public_url.startswith("https://universe.roboflow.com"):
+        return "URL should start with https://universe.roboflow.com"
+    if not hf_api_key:
+        return "Hugging Face API key required, find it at https://huggingface.co/settings/tokens"
+    if not rf_api_key:
+        return "Roboflow API key required"
+    if not dataset_name:
+        dataset_name = roboflow_universe_url.split("/")[:-3]
+        
+    roboflow_to_huggingface_pipeline(
+        roboflow_universe_url=rf_public_url,
+        roboflow_api_key=rf_api_key,
+        hf_dataset_id=dataset_name,
+        hf_write_token=hf_api_key,
+    )
+
+    return "Done"
+
+iface = gr.Interface(fn=process,
+                     inputs=[
+                         gr.Textbox(label="Roboflow Universe Public URL"),
+                         gr.Textbox(label="Hugging Face API key"),
+                         gr.Textbox(label="Roboflow API key"),
+                         gr.Textbox(label="Dataset name for Hugging Face side")
+                     ],
+                     outputs=["text"])
+iface.launch()