initial commit

app.py

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+import gradio as gr
+import requests
+import json
+import os
+
+def get_result(prompt):
+
+    API_URL = os.getenv('API_URL')
+
+    payload = { "properties": {
+        "prompt": prompt
+    }}
+
+    headers = {
+        "accept": "application/json",
+        "content-type": "application/json",
+        "authorization": f"Bearer {os.getenv('SUPERCANVAS_API_TOKEN')}"
+    }
+
+    response = requests.post(API_URL, json=payload, headers=headers)
+
+    result = response.json()
+
+    return result["output"]["urls"][0]
+
+css = """
+#generate {
+    height: 100%;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            gr.Markdown(elem_id="powered-by-supercanvas-ai", value="Powered by [SuperCanvas.AI](https://www.supercanvas.ai/).")
+
+    with gr.Tab("Prompt"):
+        with gr.Row():
+            with gr.Column(scale=6, min_width=600):
+                prompt = gr.Textbox(os.getenv('PLACEHOLDER_PROMPT'), placeholder="Prompt", show_label=False, lines=3)
+            with gr.Column():
+                text_button = gr.Button("Generate", variant='primary', elem_id="generate")
+                
+        with gr.Row():
+                
+            with gr.Column(scale=0.5):
+                image_output = gr.Image(value=os.getenv('PLACEHOLDER_IMG'))
+
+        text_button.click(get_result, inputs=[prompt], outputs=image_output)
+    
+demo.queue()
+demo.launch()

requirements.txt

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+numpy
+gradio
+requests