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@@ -0,0 +1,56 @@
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+import base64
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+from io import BytesIO
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+
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+import gradio as gr
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+import modules.chat as chat
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+import modules.shared as shared
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+from modules.bot_picture import caption_image
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+
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+params = {
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+}
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+
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+input_hijack = {
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+ 'state': False,
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+ 'value': []
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+}
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+
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+def generate_chat_picture(picture, name1, name2):
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+ text = f'*{name1} sends {name2} a picture that contains the following: "{caption_image(picture)}"*'
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+ buffer = BytesIO()
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+ picture.save(buffer, format="JPEG")
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+ img_str = base64.b64encode(buffer.getvalue()).decode('utf-8')
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+ visible_text = f'<img src="data:image/jpeg;base64,{img_str}">'
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+ return text, visible_text
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+
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+def input_modifier(string):
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+ """
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+ This function is applied to your text inputs before
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+ they are fed into the model.
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+ """
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+
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+ return string
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+
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+def output_modifier(string):
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+ """
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+ This function is applied to the model outputs.
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+ """
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+
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+ return string
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+
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+def bot_prefix_modifier(string):
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+ """
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+ This function is only applied in chat mode. It modifies
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+ the prefix text for the Bot and can be used to bias its
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+ behavior.
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+ """
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+
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+ return string
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+
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+def ui():
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+ picture_select = gr.Image(label='Send a picture', type='pil')
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+
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+ function_call = 'chat.cai_chatbot_wrapper' if shared.args.cai_chat else 'chat.chatbot_wrapper'
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+ picture_select.upload(lambda picture, name1, name2: input_hijack.update({"state": True, "value": generate_chat_picture(picture, name1, name2)}), [picture_select, shared.gradio['name1'], shared.gradio['name2']], None)
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+ picture_select.upload(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)
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+ picture_select.upload(lambda : None, [], [picture_select], show_progress=False)
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+ #parser.add_argument('--picture', action='store_true', help='Adds an ability to send pictures in chat UI modes. Captions are generated by BLIP.')
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