Add files to enable deploy button

.gitattributes

@@ -1,2 +1,33 @@
-*.png filter=lfs diff=lfs merge=lfs -text
-assets/*.png filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+FROM python:3.9
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["python", "app.py"]

app.py

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+import gradio as gr
+import base64
+import io
+from PIL import Image
+
+def text_to_image(prompt):
+    # This is a placeholder function
+    # In a real scenario, this would use your actual model
+    svg_content = f'''<svg xmlns="http://www.w3.org/2000/svg" width="512" height="512">
+        <rect width="512" height="512" fill="#f0f0f0"/>
+        <text x="50%" y="50%" font-size="24" text-anchor="middle" dominant-baseline="middle" font-family="sans-serif">
+            {prompt}
+        </text>
+    </svg>'''
+    
+    # Convert SVG to PNG
+    img = Image.new('RGB', (512, 512), color='white')
+    
+    return img
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=text_to_image,
+    inputs=gr.Textbox(label="Prompt"),
+    outputs=gr.Image(type="pil", label="Generated Image"),
+    title="Vector Graphics Generator",
+    description="Generate vector graphics from text prompts"
+)
+
+if __name__ == "__main__":
+    demo.launch()

config.json

@@ -1,11 +1,8 @@
 {
-  "task_type": "text-to-image",
-  "inference_framework": "pytorch",
-  "inference_config": {
-    "task_type": "text-to-image",
-    "runtime": "docker",
-    "docker_config": {
-      "use_dockerfile": true
-    }
-  }
+  "architectures": [
+    "CustomModel"
+  ],
+  "model_type": "custom",
+  "task": "text-to-image",
+  "inference": true
 }

inference.py

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+from transformers import pipeline
+
+def inference(inputs, parameters=None):
+    # This is a placeholder function
+    # In a real scenario, this would use your actual model
+    return {"generated_image": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIj48cmVjdCB3aWR0aD0iNTEyIiBoZWlnaHQ9IjUxMiIgZmlsbD0iI2YwZjBmMCIvPjx0ZXh0IHg9IjUwJSIgeT0iNTAlIiBmb250LXNpemU9IjI0IiB0ZXh0LWFuY2hvcj0ibWlkZGxlIiBkb21pbmFudC1iYXNlbGluZT0ibWlkZGxlIiBmb250LWZhbWlseT0ic2Fucy1zZXJpZiI+RHVtbXkgU1ZHIGZvciBJbmZlcmVuY2UgQVBJPC90ZXh0Pjwvc3ZnPg=="}

pytorch_model.bin

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+dummy model file

requirements.txt

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+torch>=1.7.0
+torchvision>=0.8.0
+transformers>=4.0.0
+diffusers>=0.10.0
+cairosvg>=2.5.0
+Pillow>=9.0.0