Create app.py
Browse files
app.py
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import gradio as gr
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import time
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def update_fortune(user_input):
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# This function simulates processing the input and updating the fortune image.
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# Simulate an "animation" by waiting a few moments.
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for _ in range(3):
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time.sleep(0.5)
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# After the simulated animation, update the image and reserved text.
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new_image = "fortune2.png" # The new image to display after submission.
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reserved_text = f"Processed input: {user_input}" # Placeholder text; you can modify this later.
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return new_image, reserved_text
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def enquiry_action():
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# This function is triggered when the '解籤/Stick Enquiry' button is clicked.
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# It returns placeholder text that appears after the button.
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return "Here are some words after the enquiry."
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with gr.Blocks() as demo:
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gr.Markdown("# Wong Tai Sin Fortuen Stick Enquiry")
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with gr.Row():
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# Left column with two sections (top and bottom)
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with gr.Column(scale=1):
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# Top left: A row with the input field and submit button
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with gr.Row():
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user_input = gr.Textbox(label="Input Sentence", placeholder="Enter your sentence here...")
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submit_btn = gr.Button("Submit")
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# Bottom left: A button centered in the box and an output textbox
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with gr.Column():
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enquiry_btn = gr.Button("解籤/Stick Enquiry")
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enquiry_output = gr.Textbox(label="Enquiry Output", placeholder="Output will appear here...")
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# Right column: Merged area for the fortune image and a reserved text field
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with gr.Column(scale=2):
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fortune_image = gr.Image(value="fortune.png", label="Fortune Image", height=300)
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reserved_text = gr.Textbox(label="Reserved Text Field", placeholder="Reserved for future content...", interactive=False)
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# Define interactivity:
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# When the submit button is clicked, update the fortune image and reserved text.
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submit_btn.click(fn=update_fortune, inputs=user_input, outputs=[fortune_image, reserved_text])
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# When the enquiry button is clicked, display the enquiry output.
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enquiry_btn.click(fn=enquiry_action, inputs=[], outputs=enquiry_output)
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demo.launch()
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