Spaces:
Running
on
Zero
Running
on
Zero
update app
#5
by
prithivMLmods
- opened
app.py
CHANGED
@@ -264,7 +264,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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with gr.Column():
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with gr.Column(elem_classes="canvas-output"):
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gr.Markdown("## Output")
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output = gr.Textbox(label="Raw Output Stream", interactive=False, lines=
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with gr.Accordion("(Result.md)", open=False):
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markdown_output = gr.Markdown(label="(Result.md)")
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model_choice = gr.Radio(
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@@ -275,7 +275,9 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Multimodal-VLM-v1.0/discussions)")
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gr.Markdown("> [Camel-Doc-OCR-062825](https://huggingface.co/prithivMLmods/Camel-Doc-OCR-062825), [GLM-4.1V-9B-Thinking](https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking), [Megalodon-OCR-Sync-0713](https://huggingface.co/prithivMLmods/Megalodon-OCR-Sync-0713), and [ViLaSR-7B](https://huggingface.co/inclusionAI/ViLaSR) are recent vision-language models excelling in document intelligence and multimodal understanding. Camel-Doc-OCR-062825 is a Qwen2.5-VL-7B-Instruct finetune, highly optimized for document retrieval, structured extraction, analysis, and direct Markdown generation from images and PDFs. GLM-4.1V-9B-Thinking offers next-level multimodal reasoning, bringing visual and textual comprehension together for advanced question answering.")
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gr.Markdown("> Megalodon-OCR-Sync-0713, finetuned from Qwen2.5-VL-3B-Instruct, specializes in context-aware multimodal document extraction and analysis, excelling at retrieval, layout parsing, math, and chart/table recognition, with robust video and long-form comprehension capabilities. ViLaSR-7B focuses on reinforcing spatial reasoning in visual-language tasks by combining interwoven thinking with visual drawing, making it especially suited for spatial reasoning and complex tip-based queries.")
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# Define the submit button actions
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image_submit.click(fn=generate_image,
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inputs=[
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with gr.Column():
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with gr.Column(elem_classes="canvas-output"):
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gr.Markdown("## Output")
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output = gr.Textbox(label="Raw Output Stream", interactive=False, lines=3)
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with gr.Accordion("(Result.md)", open=False):
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markdown_output = gr.Markdown(label="(Result.md)")
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model_choice = gr.Radio(
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gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Multimodal-VLM-v1.0/discussions)")
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gr.Markdown("> [Camel-Doc-OCR-062825](https://huggingface.co/prithivMLmods/Camel-Doc-OCR-062825), [GLM-4.1V-9B-Thinking](https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking), [Megalodon-OCR-Sync-0713](https://huggingface.co/prithivMLmods/Megalodon-OCR-Sync-0713), and [ViLaSR-7B](https://huggingface.co/inclusionAI/ViLaSR) are recent vision-language models excelling in document intelligence and multimodal understanding. Camel-Doc-OCR-062825 is a Qwen2.5-VL-7B-Instruct finetune, highly optimized for document retrieval, structured extraction, analysis, and direct Markdown generation from images and PDFs. GLM-4.1V-9B-Thinking offers next-level multimodal reasoning, bringing visual and textual comprehension together for advanced question answering.")
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gr.Markdown("> Megalodon-OCR-Sync-0713, finetuned from Qwen2.5-VL-3B-Instruct, specializes in context-aware multimodal document extraction and analysis, excelling at retrieval, layout parsing, math, and chart/table recognition, with robust video and long-form comprehension capabilities. ViLaSR-7B focuses on reinforcing spatial reasoning in visual-language tasks by combining interwoven thinking with visual drawing, making it especially suited for spatial reasoning and complex tip-based queries.")
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gr.Markdown("> ✋ ViLaSR-7B - demo only supports text-only reasoning, which doesn't reflect the full behavior of the model and may underrepresent its capabilities.")
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gr.Markdown("> ⚠️ Note: Models in this space may not perform well on video inference tasks.")
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# Define the submit button actions
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image_submit.click(fn=generate_image,
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inputs=[
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