Commit 3: Add 34 file(s)

demos/model3D/run.py

@@ -1,24 +1,31 @@
 import gradio as gr
 import os
 
+
 def load_mesh(mesh_file_name):
     return mesh_file_name
 
+
 demo = gr.Interface(
     fn=load_mesh,
-    inputs=gr.Model3D(),
+    inputs=gr.Model3D(label="Other name", display_mode="wireframe"),
     outputs=gr.Model3D(
-            clear_color=(0.0, 0.0, 0.0, 0.0),  label="3D Model", display_mode="wireframe"),
+        clear_color=(0.0, 0.0, 0.0, 0.0), label="3D Model", display_mode="wireframe"
+    ),
     examples=[
         [os.path.join(os.path.dirname(__file__), "files/Bunny.obj")],
         [os.path.join(os.path.dirname(__file__), "files/Duck.glb")],
         [os.path.join(os.path.dirname(__file__), "files/Fox.gltf")],
         [os.path.join(os.path.dirname(__file__), "files/face.obj")],
         [os.path.join(os.path.dirname(__file__), "files/sofia.stl")],
-        ["https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/bonsai/bonsai-7k-mini.splat"],
-        ["https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/luigi/luigi.ply"],
+        [
+            "https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/bonsai/bonsai-7k-mini.splat"
+        ],
+        [
+            "https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/luigi/luigi.ply"
+        ],
     ],
-    cache_examples=True
+    cache_examples=True,
 )
 
 if __name__ == "__main__":

requirements.txt

@@ -1,5 +1,5 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@9b59f565e49ef5cf1b06aba96f68e6ef9efac064#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/9b59f565e49ef5cf1b06aba96f68e6ef9efac064/gradio-5.44.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9cc7aee50ce74fafc94c51221127dd14dc479e89#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/9cc7aee50ce74fafc94c51221127dd14dc479e89/gradio-5.45.0-py3-none-any.whl
 pypistats==1.1.0
 plotly
 matplotlib

run.py

@@ -4,36 +4,13 @@ import os
 import sys
 import copy
 import pathlib
-from fastapi import FastAPI, Request
-from fastapi.templating import Jinja2Templates
-import uvicorn
-from gradio.utils import get_space
 
 os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
 
 demo_dir = pathlib.Path(__file__).parent / "demos"
 
-app = FastAPI()
-
-templates = Jinja2Templates(directory="templates")
-
 names = sorted(os.listdir("./demos"))
 
-
-@app.get("/")
-def index(request: Request):
-    names = [[p[0], p[2]] for p in all_demos]
-    return templates.TemplateResponse(
-        "index.html",
-        {
-            "request": request,
-            "names": names,
-            "initial_demo": names[0][0],
-            "is_space": get_space(),
-        },
-    )
-
-
 all_demos = []
 demo_module = None
 for p in sorted(os.listdir("./demos")):
@@ -50,8 +27,19 @@ for p in sorted(os.listdir("./demos")):
             gr.Markdown(f"Error loading demo: {e}")
         all_demos.append((p, demo, True))
 
+app = gr.Blocks()
+
+with app:
+    gr.Markdown("""
+# Deployed Demos
+## Click through demos to test them out!
+""")
+
 for demo_name, demo, _ in all_demos:
-    app = gr.mount_gradio_app(app, demo, f"/demo/{demo_name}")
+    with app.route(demo_name):
+        demo.render()
+
+    # app = gr.mount_gradio_app(app, demo, f"/demo/{demo_name}")
 
 if __name__ == "__main__":
-    uvicorn.run(app, port=7860, host="0.0.0.0")
+    app.launch()