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dd21f5c
1 Parent(s): b6eaec4

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -162,7 +162,7 @@ def process_document(image, question):
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  #return res + "\n\n" + res.split("A:")[-1]
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  return [table, res.split("A:")[-1]]
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- description = "Demo for DePlot+LLM for QA and summarisation. The current underlying LLM is [alpaca-lora](https://huggingface.co/spaces/tloen/alpaca-lora). To use it, simply upload your image and type a question or instruction and click 'submit', or click one of the examples to load them. Read more at the links below."
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  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2212.10505' target='_blank'>DePlot: One-shot visual language reasoning by plot-to-table translation</a></p>"
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  demo = gr.Interface(
 
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  #return res + "\n\n" + res.split("A:")[-1]
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  return [table, res.split("A:")[-1]]
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+ description = "Demo for DePlot+LLM for QA and summarisation. [DePlot](https://arxiv.org/abs/2212.10505) is an image-to-text model that converts plots and charts into a textual sequence. The sequence then is used to prompt LLM for chain-of-thought reasoning. The current underlying LLM is [alpaca-lora](https://huggingface.co/spaces/tloen/alpaca-lora). To use it, simply upload your image and type a question or instruction and click 'submit', or click one of the examples to load them. Read more at the links below."
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  article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2212.10505' target='_blank'>DePlot: One-shot visual language reasoning by plot-to-table translation</a></p>"
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  demo = gr.Interface(