multiple examples added

app.py

@@ -2,6 +2,7 @@ import torch
 import gradio as gr
 import plotly.graph_objects as go
 import trimesh
+from pathlib import Path
 
 device = torch.device("cpu")
 model = torch.jit.load('model_scripted.pt').to(device)
@@ -61,6 +62,9 @@ def plot_3d_results(verts, faces, uv_seam_edge_indices):
 
 
 def generate_prediction(file_input, treshold_value=0.5):
+    if not file_input:
+        return
+
     # Load and triangulate the mesh
     mesh = trimesh.load_mesh(file_input)
 
@@ -124,7 +128,11 @@ def run_gradio():
         gr.Label("Proof of concept demo. Predict UV seams on a 3D sphere meshes.")
 
         with gr.Row():
-            model3d_input = gr.File(label="Sphere Prototype Model", value="randomSphere_001.obj")
+
+            model3d_input = gr.FileExplorer(label="Sphere Prototype Model",
+                                            file_count='single',
+                                            value='randomSphere_180.obj',
+                                            glob='**/*.obj')
             with gr.Column():
                 model3d_output = gr.Plot()
                 treshold_value = gr.Slider(minimum=0, maximum=1, value=0.6, label="Threshold")

model_scripted.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e582a3e912ec5af5f860b751c514d8f9c75a33dd11466bde858c1745bf6e632c
-size 255324
+oid sha256:6b479a2be8018b3b986a3b2620b1d61799da886a8df272209b77ccb6b5943121
+size 255400

randomSphere_001.obj

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