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Update app.py
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app.py
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@@ -658,7 +658,7 @@ If you want to experience the normal model inference speed, you can run [[Infere
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## Tips:
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* Check out the conversation examples (at the bottom) for inspiration.
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* You can adjust "Max History Rounds" to try a conversation with up to
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* Our demo supports a mix of images and texts as input. You can freely upload an image or enter text, and then click on "Add Image/Text". You can repeat the former step multiple times, and click on "Submit" for model inference at last.
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@@ -766,7 +766,7 @@ if __name__ == '__main__':
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step=64,
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interactive=True,
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label="Max Output Tokens")
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max_turns = gr.Slider(minimum=1, maximum=
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label="Max History Rounds")
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force_img_gen = gr.Radio(choices=[True, False], value=False, label='Force Image Generation')
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force_bbox = gr.Radio(choices=[True, False], value=False, label='Force Bounding Box')
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## Tips:
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* Check out the conversation examples (at the bottom) for inspiration.
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* You can adjust "Max History Rounds" to try a conversation with up to **three rounds due to insufficient GPU memory**. For more turns, you can download our checkpoints from GitHub and deploy them locally for inference.
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* Our demo supports a mix of images and texts as input. You can freely upload an image or enter text, and then click on "Add Image/Text". You can repeat the former step multiple times, and click on "Submit" for model inference at last.
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step=64,
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interactive=True,
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label="Max Output Tokens")
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max_turns = gr.Slider(minimum=1, maximum=3, value=3, step=1, interactive=True,
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label="Max History Rounds")
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force_img_gen = gr.Radio(choices=[True, False], value=False, label='Force Image Generation')
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force_bbox = gr.Radio(choices=[True, False], value=False, label='Force Bounding Box')
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