Upload folder using huggingface_hub

.github/workflows/update_space.yml

@@ -0,0 +1,28 @@
+name: Run Python script
+
+on:
+  push:
+    branches:
+      - new
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

README.md

@@ -2,7 +2,7 @@
 title: cs-mixer
 app_file: demo.py
 sdk: gradio
-sdk_version: 3.37.0
+sdk_version: 3.38.0
 ---
 # PyTorch Image Models
 - [Sponsors](#sponsors)

demo.py

@@ -1,3 +1,5 @@
+import os
+os.system("pip install datasets einops cupy-cuda11x tabulate opencv-python -U")
 
 import os, cv2, time, math
 print("=> Loading libraries...")
@@ -117,4 +119,7 @@ with gr.Blocks(theme=gr.themes.Monochrome(font=[gr.themes.GoogleFont("DM Sans"),
     with gr.Row():
         gr.Examples([f"../example-imgs/{idx}.png" for idx in indices], inputs=input_image, outputs=[softmax, grad_cam], fn=predict, run_on_click=True)
             
-demo.launch(share=True, allowed_paths=["../example-imgs"])
+demo.launch(
+    share=False, debug=False, allowed_paths=["../example-imgs"], server_name="0.0.0.0", # ssl_verify=False,
+    server_port=8000, # ssl_certfile="/workspace/openssl/cert.pem", ssl_keyfile="/workspace/openssl/key.pem"
+)