Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import json
+
+# Load the JSON workflow
+with open("/mnt/data/1workflo", "r") as file:
+    workflow = json.load(file)
+
+def generate_linkedin_headshot(image, prompt):
+    # Here you would integrate your logic to process the image and prompt
+    # using the ComfyUI workflow. This is a placeholder for demonstration.
+    
+    # Assuming you have a function `apply_comfyui_workflow` that takes an image,
+    # prompt, and the workflow JSON to produce the output.
+    
+    processed_image = apply_comfyui_workflow(image, prompt, workflow)
+    return processed_image
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# LinkedIn Headshot Generator")
+    
+    with gr.Row():
+        with gr.Column():
+            image_input = gr.Image(label="Upload your headshot", type="pil")
+            prompt_input = gr.Textbox(label="Describe the professional look you want (e.g., 'business casual, smiling')")
+        
+        with gr.Column():
+            output_image = gr.Image(label="Generated LinkedIn Headshot")
+    
+    generate_button = gr.Button("Generate Headshot")
+    generate_button.click(fn=generate_linkedin_headshot, inputs=[image_input, prompt_input], outputs=output_image)
+
+# Launch the app
+demo.launch()