Add Gradio workflow app script and workflow JSON configuration

run.py

@@ -0,0 +1,56 @@
+import os
+import random
+
+import gradio as gr
+
+
+def describe_product(image) -> str:
+    if image is None:
+        return "a premium product"
+    img_path = image.get("path") if isinstance(image, dict) else str(image)
+    img_url = image.get("url", "") if isinstance(image, dict) else str(image)
+    try:
+        from gradio_client import Client, handle_file
+        source = img_path if (img_path and os.path.exists(img_path)) else img_url
+        if not source:
+            return "a premium product"
+        client = Client("vikhyatk/moondream2", verbose=False)
+        result = client.predict(
+            handle_file(source),
+            "Describe this product briefly and concisely. What is it?",
+            api_name="/answer_question",
+        )
+        return str(result).strip() if result else "a premium product"
+    except Exception:
+        return "a premium product"
+
+
+def craft_marketing_prompt(caption: str) -> str:
+    if not caption:
+        caption = "a premium product"
+    caption = caption.strip().rstrip(".")
+    styles = [
+        (
+            f"Professional product advertisement photograph of {caption}, "
+            "studio lighting, clean white background, commercial photography, "
+            "ultra-sharp, 8K quality"
+        ),
+        (
+            f"Cinematic product shot of {caption}, dramatic lighting, "
+            "aspirational lifestyle context, premium brand aesthetic, "
+            "shot on Hasselblad, magazine cover quality"
+        ),
+        (
+            f"Bold marketing campaign visual of {caption}, vibrant colors, "
+            "dynamic composition, modern editorial style, "
+            "award-winning commercial photography"
+        ),
+    ]
+    return random.choice(styles)
+
+
+demo = gr.Workflow(bind=[describe_product, craft_marketing_prompt])
+
+if __name__ == "__main__":
+    demo.launch()
+

workflow.json

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+{"schema_version":"2","name":"Marketing Image Creator","runtime":{"default":"client"},"references":[{"label":"Text","inputs":[{"id":"in","label":"Text","type":"text"}],"outputs":[{"id":"out","label":"Text","type":"text"}],"width":220,"height":163,"asset_type":"text","role":"reference","id":"1539a1e9-4906-4008-b345-e6d05bb69b22","x":740,"y":80,"data":{"in":null}},{"label":"Image","inputs":[{"id":"in","label":"Image","type":"image"}],"outputs":[{"id":"out","label":"Image","type":"image"}],"width":220,"height":124,"asset_type":"image","role":"reference","id":"13e92b22-7173-416c-81c6-1ca097a2a299","x":80,"y":80,"data":{}}],"operators":[{"id":"n_flux","label":"Generate Image","inputs":[{"id":"in","label":"Prompt","type":"text","required":true}],"outputs":[{"id":"out","label":"Image","type":"image"}],"data":{"out":97500097},"x":1040,"y":80,"width":220,"height":124,"role":"operator","kind":"space","source":"hf://spaces/multimodalart/FLUX.1-merged","space_id":"multimodalart/FLUX.1-merged","runtime":"client","endpoints":[{"name":"/infer","inputs":[{"id":"in_0","label":"Prompt","type":"text","required":true},{"id":"in_1","label":"Seed","type":"number","required":false},{"id":"in_2","label":"Randomize seed","type":"boolean","required":false},{"id":"in_3","label":"Width","type":"number","required":false},{"id":"in_4","label":"Height","type":"number","required":false},{"id":"in_5","label":"Guidance Scale","type":"number","required":false},{"id":"in_6","label":"Number of inference steps","type":"number","required":false}],"outputs":[{"id":"out_0","label":"Result","type":"image","output_index":0},{"id":"out_1","label":"Seed","type":"number","output_index":1}]}]},{"label":"Image To Prompt","inputs":[{"id":"in_0","label":"Input Image","type":"image","required":true}],"outputs":[{"id":"out_0","label":"Output Prompt","type":"text","output_index":0}],"width":280,"height":124,"kind":"space","space_id":"ovi054/image-to-prompt","endpoint":"/predict","endpoints":[{"name":"/predict","inputs":[{"id":"in_0","label":"Input Image","type":"image","required":true}],"outputs":[{"id":"out_0","label":"Output Prompt","type":"text","output_index":0}]}],"pipeline_tag":"Image Captioning","role":"operator","id":"897592dc-17b5-473b-9e89-4ebdae4073d6","x":380,"y":80,"data":{}}],"subjects":[{"id":"n_output","label":"Marketing Image","inputs":[{"id":"in","label":"Image","type":"image"}],"outputs":[{"id":"out","label":"Image","type":"image"}],"data":{"in":null},"x":1340,"y":80,"width":220,"height":107,"role":"subject","asset_type":"image"}],"edges":[{"id":"e4","from_node_id":"n_flux","from_port_id":"out","to_node_id":"n_output","to_port_id":"in","type":"image"},{"from_node_id":"1539a1e9-4906-4008-b345-e6d05bb69b22","from_port_id":"out","to_node_id":"n_flux","to_port_id":"in","type":"text","id":"b44e83fe-23b1-4dcc-83d3-55b3481721bc"},{"from_node_id":"13e92b22-7173-416c-81c6-1ca097a2a299","from_port_id":"out","to_node_id":"897592dc-17b5-473b-9e89-4ebdae4073d6","to_port_id":"in_0","type":"image","id":"22796709-ff7d-4250-92c0-2d541f9e6a99"},{"from_node_id":"897592dc-17b5-473b-9e89-4ebdae4073d6","from_port_id":"out_0","to_node_id":"1539a1e9-4906-4008-b345-e6d05bb69b22","to_port_id":"in","type":"text","id":"96dab823-0f2c-4356-98c4-aa82feca5e0a"}],"view":{"default":"canvas"}}