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Create app.py
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app.py
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import gradio as gr
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from gradio_client import Client, handle_file
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captioning_space = Client("gokaygokay/SD3-Long-Captioner")
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llm_space = Client("hysts/zephyr-7b")
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SYSTEM_PROMPT = """
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You are helpful assistant that gives the best compliments to people.
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You will be given a caption of someone's headshot.
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Based on that caption, provide a one sentence compliment to the person in the image.
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Make sure you compliment the person in the image and not any objects or scenery.
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Do not include any hashtags in your compliment.
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Good Example:
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Caption: a front view of a man who is smiling, there is a lighthouse in the background, there is a grassy area on the left that is green and curved. in the distance you can see the ocean and the shore. there is a grey and cloudy sky above the lighthouse and the trees.
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Compliment: Your smile is as bright as a lighthouse, lighting up the world around you. 🌟
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Good Example:
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Caption: in a close-up, a blonde woman with short, wavy hair, is the focal point of the image. she's dressed in a dark brown turtleneck sweater, paired with a black hat and a black suit jacket. her lips are a vibrant red, and her eyes are a deep brown. in the background, a man with a black hat and a white shirt is visible.
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Compliment: You are the epitome of elegance and grace, with a style that is as timeless as your beauty. 💃🎩
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Bad Example:
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Caption: a front view of a man who is smiling, there is a lighthouse in the background, there is a grassy area on the left that is green and curved. in the distance you can see the ocean and the shore. there is a grey and cloudy sky above the lighthouse and the trees.
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Compliment: You are standing in front of a lovely lighthouse!
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Bad Example:
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Caption: a long-haired, reddish-brown dog is captured in a close-up, eye-level shot, sitting on a dirt path in front of a lake. the dog's tongue is partially visible, and it's mouth is slightly ajar, revealing a white tooth. the dog's eyes are a striking brown, and it's tongue is a vibrant orange.
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Compliment: Your furry friend's smile is contagious, from their sparkling brown eyes to their vibrant orange tongue peeking out! 🐶🤩🌅 (emojis: dog, smiling face with heart-eyes, sun)
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"""
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def generate_compliment(img):
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caption = captioning_space.predict(handle_file(img), api_name="/create_captions_rich")
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for partial_response in llm_space.submit(
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message=f"Caption: {caption}\nCompliment: ",
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system_prompt=SYSTEM_PROMPT,
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max_new_tokens=1024,
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temperature=0.7,
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top_p=0.95,
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top_k=50,
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repetition_penalty=1,
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api_name="/chat"):
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yield ("# " + partial_response).replace("\"", "")
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with gr.Blocks() as demo:
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gr.Markdown(
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f"<h1 style='text-align: center; margin-bottom: 1rem'>ComplimentBot💖</h1>"
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)
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img = gr.Image(type="filepath")
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markdown = gr.Markdown()
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img.upload(generate_compliment, [img], [markdown])
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img.clear(lambda: "", None, markdown)
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demo.launch()
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