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Runtime error
Runtime error
add option for rearrange prompt
Browse files
app.py
CHANGED
@@ -19,7 +19,7 @@ model = Magma.from_checkpoint(
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device = 'cuda:0'
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)
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def generate(image,context, length, temperature, top_k):
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# context = context.strip()
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# url_regex = r'https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)'
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@@ -33,12 +33,18 @@ def generate(image,context, length, temperature, top_k):
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# return str(e)
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# else:
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# inputs.append(line)
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## returns a tensor of shape: (1, 149, 4096)
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embeddings = model.preprocess_inputs(inputs)
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@@ -53,7 +59,7 @@ def generate(image,context, length, temperature, top_k):
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return output[0]
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examples=[["woods_hi.jpeg","Describe the painting:",15,0.7,0]]
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title="MAGMA"
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description="MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning"
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@@ -61,13 +67,14 @@ article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.052
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iface = gr.Interface(
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fn=generate,
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inputs=[
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gr.inputs.Image(type="filepath"),gr.inputs.Textbox(
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label="Prompt:",
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default="Describe the painting:",
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lines=7),
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gr.inputs.Slider(minimum=1, maximum=100, default=15, step=1, label="Output tokens:"),
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gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.7, label='Temperature'),
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gr.inputs.Slider(minimum=0, maximum=100, default=0, step=1, label='Top K')
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],
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outputs=["textbox"],
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examples=examples,
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device = 'cuda:0'
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)
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def generate(image,context, length, temperature, top_k,rearrange):
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# context = context.strip()
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# url_regex = r'https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)'
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# return str(e)
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# else:
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# inputs.append(line)
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if rearrange:
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inputs =[
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## supports urls and path/to/image
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context,
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ImageInput(image)
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]
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else:
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inputs =[
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## supports urls and path/to/image
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ImageInput(image),
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context
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]
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## returns a tensor of shape: (1, 149, 4096)
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embeddings = model.preprocess_inputs(inputs)
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return output[0]
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examples=[["woods_hi.jpeg","Describe the painting:",15,0.7,0,False]]
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title="MAGMA"
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description="MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning"
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iface = gr.Interface(
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fn=generate,
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inputs=[
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gr.inputs.Image(type="filepath",label="Image Prompt"),gr.inputs.Textbox(
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label="Text Prompt:",
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default="Describe the painting:",
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lines=7),
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gr.inputs.Slider(minimum=1, maximum=100, default=15, step=1, label="Output tokens:"),
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gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.7, label='Temperature'),
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gr.inputs.Slider(minimum=0, maximum=100, default=0, step=1, label='Top K'),
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gr.inputs.Checkbox(default=False, label="Rearrange Prompt", optional=False)
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],
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outputs=["textbox"],
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examples=examples,
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