initial upload

app.py

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+import gradio as gr
+import pandas
+import PIL
+
+
+
+# Dummy function for Workflow A
+def workflow_a(image, text):
+    # Here you might process the image/text in a specific way.
+    return "Workflow A executed!"
+
+
+# Dummy function for Workflow B
+def workflow_b(image, text):
+    # Here you might process the image/text in a different way.
+    return "Workflow B executed!"
+
+
+# Main function triggered by the Start button.
+# It uses an if statement to decide which workflow to call.
+def main(image, text):
+    # Example condition: if the text (after stripping whitespace) equals "a" (case-insensitive), call workflow_a.
+    if text.strip().lower() == "a":
+        result_text = workflow_a(image, text)
+    else:
+        result_text = workflow_b(image, text)
+
+    # Forward the input image to both image outputs.
+    return image, image, result_text
+
+
+
+# Build the Gradio interface using Blocks for a custom layout.
+with gr.Blocks() as demo:
+    gr.Markdown("## Gradio Demo: Workflow Selector")
+
+    # Input components in a row.
+    with gr.Row():
+        image_input = gr.Image(label="Input Image")
+        text_input = gr.Textbox(label="Input Text", placeholder='Type "a" for workflow A or anything else for workflow B')
+
+    # Start button to trigger the main function.
+    start_button = gr.Button("Start")
+
+    gr.Markdown("### Outputs")
+    # Output images in a row.
+    with gr.Row():
+        output_image1 = gr.Image(label="Output Image 1")
+        output_image2 = gr.Image(label="Output Image 2")
+
+    output_text = gr.Textbox(label="Output Text")
+
+    # Connect the Start button to the main function.
+    start_button.click(
+        fn=main,
+        inputs=[image_input, text_input],
+        outputs=[output_image1, output_image2, output_text]
+    )
+
+# Launch the Gradio app.
+demo.launch(share=True)

requirements.txt

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+gradio
+pandas
+PIL