Fix runtime errors: Update Gradio version, disable pretrained weights, and fix Spaces configuration

- Update Gradio to 4.44.1 to fix JSON schema TypeError
- Set pretrain=False in model configs to avoid missing weights error
- Enable share=True and show_error=True for Hugging Face Spaces
- Update README.md with correct Gradio version

README.md

@@ -4,7 +4,7 @@ emoji: 🔍
 colorFrom: blue
 colorTo: red
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -61,7 +61,7 @@ mobilenet_cfg = {
     'decay1': 190,
     'decay2': 220,
     'image_size': 640,
-    'pretrain': True,
+    'pretrain': False,  # Don't load pretrained weights
     'return_layers': {'stage1': 1, 'stage2': 2, 'stage3': 3},
     'in_channel': 32,
     'out_channel': 64
@@ -81,7 +81,7 @@ resnet_cfg = {
     'decay1': 70,
     'decay2': 90,
     'image_size': 840,
-    'pretrain': True,
+    'pretrain': False,  # Don't load pretrained weights
     'return_layers': {'layer2': 1, 'layer3': 2, 'layer4': 3},
     'in_channel': 256,
     'out_channel': 256
@@ -454,5 +454,6 @@ if __name__ == "__main__":
     demo.launch(
         server_name="0.0.0.0",
         server_port=7860,
-        share=False
+        share=True,
+        show_error=True
     )

requirements.txt

@@ -1,4 +1,4 @@
-gradio==4.44.0
+gradio==4.44.1
 torch==2.0.1
 torchvision==0.15.2
 opencv-python==4.8.1.78