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Browse files
app.py
CHANGED
@@ -81,7 +81,7 @@ def model_inference(
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with gr.Blocks(fill_height=True) as demo:
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gr.Markdown("## IDEFICS3-Llama 🐶")
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gr.Markdown("Play with [HuggingFaceM4/Idefics3-8B-Llama3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) in this demo. To get started, upload an image and text or try one of the examples.")
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gr.Markdown("**Disclaimer:** Idefics3 does not include an RLHF alignment stage, so it may not consistently follow prompts or handle complex tasks. However, this doesn't mean it is incapable of doing so. Adding a prefix to the assistant's response, such as Let's think step for a reasoning question or
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with gr.Column():
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image_input = gr.Image(label="Upload your Image", type="pil")
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query_input = gr.Textbox(label="Prompt")
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with gr.Blocks(fill_height=True) as demo:
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gr.Markdown("## IDEFICS3-Llama 🐶")
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gr.Markdown("Play with [HuggingFaceM4/Idefics3-8B-Llama3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) in this demo. To get started, upload an image and text or try one of the examples.")
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gr.Markdown("**Disclaimer:** Idefics3 does not include an RLHF alignment stage, so it may not consistently follow prompts or handle complex tasks. However, this doesn't mean it is incapable of doing so. Adding a prefix to the assistant's response, such as Let's think step for a reasoning question or `<html>` for HTML code generation, can significantly improve the output in practice. You could also play with the parameters such as the temperature in non-greedy mode.")
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with gr.Column():
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image_input = gr.Image(label="Upload your Image", type="pil")
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query_input = gr.Textbox(label="Prompt")
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