Update app.py
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app.py
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import os
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if os.environ.get("SPACES_ZERO_GPU") is not None: import spaces
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import gradio as gr
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from joycaption import stream_chat_mod, get_text_model, change_text_model, get_repo_gguf
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JC_TITLE_MD = "<h1><center>JoyCaption Alpha Two Mod</center></h1>"
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JC_DESC_MD = """This space is mod of [fancyfeast/joy-caption-alpha-two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two),
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[Wi-zz/joy-caption-pre-alpha](https://huggingface.co/Wi-zz/joy-caption-pre-alpha).
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Thanks to [dominic1021](https://huggingface.co/dominic1021), [IceHibiki](https://huggingface.co/IceHibiki)."""
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css = """
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.info {text-align:center; !important}
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"""
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with gr.Blocks(fill_width=True, css=css, delete_cache=(60, 3600)) as demo:
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gr.HTML(JC_TITLE_MD)
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with gr.Row():
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with gr.Column():
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with gr.Group():
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jc_input_image = gr.Image(type="pil", label="Input Image", sources=["upload", "clipboard"], height=384)
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with gr.Accordion("Options", open=False):
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with gr.Row():
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jc_caption_type = gr.Dropdown(
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choices=["Descriptive", "Descriptive (Informal)", "Training Prompt", "MidJourney", "Booru tag list", "Booru-like tag list", "Art Critic", "Product Listing", "Social Media Post"],
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label="Caption Type",
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value="Descriptive",
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)
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jc_caption_length = gr.Dropdown(
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choices=["any", "very short", "short", "medium-length", "long", "very long"] +
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[str(i) for i in range(20, 261, 10)],
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label="Caption Length",
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value="long",
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)
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jc_extra_options = gr.CheckboxGroup(
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choices=[
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"
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"Do NOT
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"
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"
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"Include information about
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"
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"
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"
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"
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"
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"Do NOT mention
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"
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"
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"Do NOT
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#
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import os
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if os.environ.get("SPACES_ZERO_GPU") is not None: import spaces
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import gradio as gr
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from joycaption import stream_chat_mod, get_text_model, change_text_model, get_repo_gguf
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JC_TITLE_MD = "<h1><center>JoyCaption Alpha Two Mod</center></h1>"
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JC_DESC_MD = """This space is mod of [fancyfeast/joy-caption-alpha-two](https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two),
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[Wi-zz/joy-caption-pre-alpha](https://huggingface.co/Wi-zz/joy-caption-pre-alpha).
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Thanks to [dominic1021](https://huggingface.co/dominic1021), [IceHibiki](https://huggingface.co/IceHibiki)."""
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css = """
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.info {text-align:center; !important}
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"""
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with gr.Blocks(fill_width=True, css=css, delete_cache=(60, 3600)) as demo:
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gr.HTML(JC_TITLE_MD)
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with gr.Row():
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with gr.Column():
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with gr.Group():
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jc_input_image = gr.Image(type="pil", label="Input Image", sources=["upload", "clipboard"], height=384)
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with gr.Accordion("Options", open=False):
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with gr.Row():
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jc_caption_type = gr.Dropdown(
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choices=["Descriptive", "Descriptive (Informal)", "Training Prompt", "MidJourney", "Booru tag list", "Booru-like tag list", "Art Critic", "Product Listing", "Social Media Post"],
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label="Caption Type",
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value="Descriptive",
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)
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jc_caption_length = gr.Dropdown(
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choices=["any", "very short", "short", "medium-length", "long", "very long"] +
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[str(i) for i in range(20, 261, 10)],
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label="Caption Length",
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value="long",
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)
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jc_extra_options = gr.CheckboxGroup(
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choices=[
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"Include sexual references. Use terms like pussy and clit instead of genitals or vulva.",
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"Do NOT mention any logos that are in the image."
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'''
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"If there is a person/character in the image you must refer to them as {name}.",
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"Do NOT include information about people/characters that cannot be changed (like ethnicity, gender, etc), but do still include changeable attributes (like hair style).",
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"Include information about lighting.",
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"Include information about camera angle.",
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"Include information about whether there is a watermark or not.",
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"Include information about whether there are JPEG artifacts or not.",
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"If it is a photo you MUST include information about what camera was likely used and details such as aperture, shutter speed, ISO, etc.",
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"Do NOT include anything sexual; keep it PG.",
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"Do NOT mention the image's resolution.",
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"You MUST include information about the subjective aesthetic quality of the image from low to very high.",
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"Include information on the image's composition style, such as leading lines, rule of thirds, or symmetry.",
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"Do NOT mention any text that is in the image.",
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"Specify the depth of field and whether the background is in focus or blurred.",
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"If applicable, mention the likely use of artificial or natural lighting sources.",
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"Do NOT use any ambiguous language.",
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"Include whether the image is sfw, suggestive, or nsfw.",
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"ONLY describe the most important elements of the image."
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'''
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],
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label="Extra Options"
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)
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with gr.Row():
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jc_name_input = gr.Textbox(label="Person/Character Name (if applicable)")
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gr.Markdown("**Note:** Name input is only used if an Extra Option is selected that requires it.")
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jc_custom_prompt = gr.Textbox(label="Custom Prompt (optional, will override all other settings)")
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gr.Markdown("**Note:** Alpha Two is not a general instruction follower and will not follow prompts outside its training data well. Use this feature with caution.")
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with gr.Accordion("Advanced", open=False):
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with gr.Row():
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jc_text_model = gr.Dropdown(label="LLM Model", info="You can enter a huggingface model repo_id to want to use.",
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choices=get_text_model(), value=get_text_model()[0],
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allow_custom_value=True, interactive=True, min_width=320)
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jc_gguf = gr.Dropdown(label=f"GGUF Filename", choices=[], value="",
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allow_custom_value=True, min_width=320, visible=False)
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jc_nf4 = gr.Checkbox(label="Use NF4 quantization", value=True)
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jc_lora = gr.Checkbox(label="Use Custom VLM", info="Llama 3 BF16 only", value=True)
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jc_text_model_button = gr.Button("Load Model", variant="secondary", visible=False)
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jc_use_inference_client = gr.Checkbox(label="Use Inference Client", value=False, visible=False)
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with gr.Row():
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jc_tokens = gr.Slider(minimum=1, maximum=4096, value=300, step=1, label="Max tokens")
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jc_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.6, step=0.1, label="Temperature")
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jc_topp = gr.Slider(minimum=0, maximum=2.0, value=0.9, step=0.01, label="Top-P")
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jc_run_button = gr.Button("Caption", variant="primary")
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with gr.Column():
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jc_output_prompt = gr.Textbox(label="Prompt that was used")
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jc_output_caption = gr.Textbox(label="Caption", show_copy_button=True)
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gr.Markdown(JC_DESC_MD, elem_classes="info")
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gr.LoginButton()
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gr.DuplicateButton(value="Duplicate Space for private use (This demo does not work on CPU. Requires GPU Space)")
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jc_run_button.click(fn=stream_chat_mod, inputs=[jc_input_image, jc_caption_type, jc_caption_length, jc_extra_options, jc_name_input, jc_custom_prompt,
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jc_tokens, jc_topp, jc_temperature, jc_text_model], outputs=[jc_output_prompt, jc_output_caption])
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jc_text_model.change(change_text_model, [jc_text_model, jc_use_inference_client, jc_gguf, jc_nf4, jc_lora], [jc_text_model], show_api=False)
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#jc_text_model_button.click(change_text_model, [jc_text_model, jc_use_inference_client, jc_gguf, jc_nf4], [jc_text_model], show_api=False)
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#jc_text_model.change(get_repo_gguf, [jc_text_model], [jc_gguf], show_api=False)
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#jc_use_inference_client.change(change_text_model, [jc_text_model, jc_use_inference_client], [jc_text_model], show_api=False)
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if __name__ == "__main__":
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#demo.queue()
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demo.launch()
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