Deploy from Gradio Workflow Builder

app.py

@@ -1,14 +1,14 @@
 import gradio as gr
 
-generate_image_app = gr.load("black-forest-labs/FLUX.1-schnell")
+generate_image_app = gr.load("black-forest-labs/FLUX.1-schnell", src="spaces")
 
-def pipeline(textbox, textbox_2):
-    generate_image = generate_image_app(textbox)
+def pipeline(textbox, textbox_2, textbox_3):
+    generate_image = generate_image_app(None)
     return generate_image
 
 demo = gr.Interface(
     fn=pipeline,
-    inputs=[gr.Textbox(), gr.Textbox()],
+    inputs=[gr.Textbox(), gr.Textbox(), gr.Textbox()],
     outputs=[gr.Image()],
     title="Text to image",
 )

workflow.json

@@ -18,7 +18,7 @@
       "x": 93,
       "y": 58,
       "width": 220,
-      "height": 248,
+      "height": 145,
       "data": {}
     },
     {
@@ -45,7 +45,7 @@
       "x": 420,
       "y": 120,
       "width": 200,
-      "height": 140,
+      "height": 180,
       "data": {}
     },
     {
@@ -86,22 +86,33 @@
       ],
       "inputs": [],
       "width": 220,
-      "height": 166,
+      "height": 145,
       "id": "b6ab8e60-9a5a-4180-85b2-6b0cd8dd701e",
       "x": 168,
       "y": 373,
       "data": {}
+    },
+    {
+      "label": "Textbox",
+      "kind": "input",
+      "source": "local",
+      "outputs": [
+        {
+          "id": "out",
+          "label": "Text",
+          "type": "text"
+        }
+      ],
+      "inputs": [],
+      "width": 220,
+      "height": 145,
+      "id": "29571801-8f9c-4d78-9c16-4af5169d60aa",
+      "x": 112,
+      "y": 167,
+      "data": {}
     }
   ],
   "edges": [
-    {
-      "id": "e1",
-      "from_node_id": "t1",
-      "from_port_id": "out",
-      "to_node_id": "t2",
-      "to_port_id": "in",
-      "type": "text"
-    },
     {
       "id": "e2",
       "from_node_id": "t2",