Update app.py

app.py

@@ -13,11 +13,7 @@ model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
 
 def process_image(image_path):
     image_path = Path(image_path)
-    image_raw = Image.open(image_path)
-    image = image_raw.resize(
-        (800, int(800 * image_raw.size[1] / image_raw.size[0])),
-        Image.Resampling.LANCZOS,
-    )
+    image = Image.open(image_path)
 
     # prepare image for the model
     encoding = feature_extractor(image, return_tensors="pt")
@@ -49,9 +45,7 @@ iface = gr.Interface(
     fn=process_image,
     inputs=[gr.Image(type="filepath", label="Input Image")],
     outputs=[
-        gr.Image(label="predicted depth", type="pil"),
-        gr.Model3D(label="3d mesh reconstruction", clear_color=[1.0, 1.0, 1.0, 1.0]),
-        gr.File(label="3d gLTF"),
+        inputs=[gr.inputs.Image(type="filepath", label="Input Image")],
     ],
     title=title,
     description=description,