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import gradio as gr |
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from agent import ad_copy_agent, generate_ad_image, sentiment_agent, timing_agent |
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with gr.Blocks() as demo: |
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gr.Markdown("# 📈 Marketing AI Dashboard") |
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with gr.Tab("Ad Copy Generator"): |
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prod = gr.Textbox(label="Product") |
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desc = gr.Textbox(label="Description") |
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audience = gr.Textbox(label="Audience") |
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tone = gr.Textbox(label="Tone") |
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ad_output = gr.Textbox(label="Generated Ads") |
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image_output = gr.Image(label="Generated Ad Image") |
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ad_button = gr.Button("Generate Ads + Image") |
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def generate_ad_and_image(product, description, audience, tone): |
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ad_copy, image_prompt = ad_copy_agent(product, description, audience, tone) |
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image_urls = generate_ad_image(image_prompt) |
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return ad_copy, image_urls[0] |
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ad_button.click(generate_ad_and_image, [prod, desc, audience, tone], [ad_output, image_output]) |
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with gr.Tab("Sentiment Analyzer"): |
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social_input = gr.Textbox(label="Social Media Mentions / Input") |
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sentiment_output = gr.Textbox(label="Sentiment Analysis") |
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sentiment_button = gr.Button("Analyze Sentiment") |
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sentiment_button.click(sentiment_agent, social_input, sentiment_output) |
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with gr.Tab("Post Timing Recommender"): |
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platform_input = gr.Textbox(label="Platform (e.g., Facebook, Instagram)") |
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timing_output = gr.Textbox(label="Recommended Times") |
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timing_button = gr.Button("Get Recommendations") |
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timing_button.click(timing_agent, platform_input, timing_output) |
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demo.launch() |
