initial commit

README.md

@@ -6,6 +6,7 @@ colorTo: pink
 sdk: gradio
 sdk_version: 4.37.2
 app_file: app.py
+license: mit
 pinned: false
 ---
 

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from gradio_client import Client, file
+
+
+def run(image_url):
+    client = Client("dylanebert/LGM-tiny")
+    image = file(image_url)
+    result = client.predict(image, api_name="/predict")
+    return result
+
+
+demo = gr.Interface(
+    fn=run,
+    title="LGM Tiny API",
+    description="An API wrapper for [LGM Tiny](https://huggingface.co/spaces/dylanebert/LGM-tiny). Intended as a resource for the [ML for 3D Course](https://huggingface.co/learn/ml-for-3d-course).",
+    inputs=gr.Textbox(label="Image URL", placeholder="Enter image URL, e.g. https://huggingface.co/datasets/dylanebert/iso3d/resolve/main/jpg@512/a_cat_statue.jpg"),
+    outputs=gr.Model3D(),
+    examples=[
+        "https://huggingface.co/datasets/dylanebert/iso3d/resolve/main/jpg@512/a_cat_statue.jpg"
+    ],
+    allow_duplication=True,
+)
+demo.queue().launch()