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Runtime error
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a7e7927
1
Parent(s):
8684306
Update app.py
Browse files
app.py
CHANGED
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@@ -48,11 +48,7 @@ function() {
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def load_demo_refresh_model_list(request: gr.Request):
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logger.info(f"load_demo. ip: {request.client.host}")
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state = default_conversation.copy()
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-
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choices=models,
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value=models[0]+"-4bit" if len(models) > 0 else ""
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)
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return state, dropdown_update
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def vote_last_response(state, vote_type, model_selector, request: gr.Request):
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@@ -80,48 +76,51 @@ def flag_last_response(state, model_selector, request: gr.Request):
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vote_last_response(state, "flag", model_selector, request)
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return ("",) + (disable_btn,) * 3
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def regenerate(state, image_process_mode, seg_process_mode):
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state.messages[-1][-1] = None
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prev_human_msg = state.messages[-2]
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if type(prev_human_msg[1]) in (tuple, list):
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prev_human_msg[1] = (*prev_human_msg[1][:2], image_process_mode, prev_human_msg[1][3], seg_process_mode,
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state.skip_next = False
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return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5
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def clear_history(request: gr.Request):
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state = default_conversation.copy()
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return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5
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def add_text(state, text, image, image_process_mode, seg, seg_process_mode, request: gr.Request):
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logger.info(f"add_text. len: {len(text)}")
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if len(text) <= 0 and image is None:
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state.skip_next = True
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return (state, state.to_gradio_chatbot(), "", None, None) + (no_change_btn,) * 5
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if args.moderate:
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flagged = violates_moderation(text)
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if flagged:
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state.skip_next = True
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return (state, state.to_gradio_chatbot(), moderation_msg, None, None) + (
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no_change_btn,) * 5
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text = text[:
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if image is not None:
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text = text[:
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if '<image>' not in text:
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text = '<image>\n' + text
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if seg is not None:
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if '<seg>' not in text:
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text = '<seg>\n' + text
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text = (text, image, image_process_mode, seg, seg_process_mode,
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if len(state.get_images(return_pil=True)) > 0:
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state = default_conversation.copy()
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state.append_message(state.roles[0], text)
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state.append_message(state.roles[1], None)
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state.skip_next = False
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return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5
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def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request: gr.Request):
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@@ -155,11 +154,13 @@ def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request:
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"stop": state.sep if state.sep_style in [SeparatorStyle.SINGLE, SeparatorStyle.MPT] else state.sep2,
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"images": f'List of {len(state.get_images())}',
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"segs": f'List of {len(state.get_segs())}',
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}
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logger.info(f"==== request ====\n{pload}")
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pload['images'] = state.get_images()
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pload['segs'] = state.get_segs()
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state.messages[-1][-1] = "▌"
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yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5
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@@ -189,8 +190,6 @@ def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request:
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state.messages[-1][-1] = state.messages[-1][-1][:-1]
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yield (state, state.to_gradio_chatbot()) + (enable_btn,) * 5
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-
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finish_tstamp = time.time()
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logger.info(f"{output}")
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@@ -235,7 +234,7 @@ def build_demo(embed_mode):
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with gr.Row(elem_id="model_selector_row"):
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model_selector = gr.Dropdown(
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choices=models,
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value=models[0] if len(models) > 0 else "",
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interactive=True,
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show_label=False,
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container=False)
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@@ -252,6 +251,12 @@ def build_demo(embed_mode):
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["Crop", "Resize", "Pad", "Default"],
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value="Default",
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label="Preprocess for non-square Seg Map", visible=False)
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with gr.Accordion("Parameters", open=False) as parameter_row:
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temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.8, step=0.1, interactive=True, label="Temperature",)
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@@ -275,13 +280,8 @@ def build_demo(embed_mode):
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cur_dir = os.path.dirname(os.path.abspath(__file__))
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gr.Examples(examples=[
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[f"{cur_dir}/examples/
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[f"{cur_dir}/examples/friends.jpg", f"{cur_dir}/examples/friends_pan.png", "Can you count the number of people in the image?", "0.8", "0.9"],
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[f"{cur_dir}/examples/friends.jpg", f"{cur_dir}/examples/friends_pan.png", "What is happening in the image?", "0.8", "0.9"],
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[f"{cur_dir}/examples/suits.jpg", f"{cur_dir}/examples/suits_pan.png", "What objects can be seen in the image?", "0.5", "0.5"],
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[f"{cur_dir}/examples/suits.jpg", f"{cur_dir}/examples/suits_ins.png", "What objects can be seen in the image?", "0.5", "0.5"],
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], inputs=[imagebox, segbox, textbox, temperature, top_p])
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if not embed_mode:
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gr.Markdown(tos_markdown)
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@@ -295,20 +295,20 @@ def build_demo(embed_mode):
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[state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn])
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flag_btn.click(flag_last_response,
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[state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn])
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regenerate_btn.click(regenerate, [state, image_process_mode, seg_process_mode],
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[state, chatbot, textbox, imagebox, segbox] + btn_list).then(
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http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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clear_btn.click(clear_history, None, [state, chatbot, textbox, imagebox, segbox] + btn_list)
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textbox.submit(add_text, [state, textbox, imagebox, image_process_mode, segbox, seg_process_mode], [state, chatbot, textbox, imagebox, segbox] + btn_list
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).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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submit_btn.click(add_text, [state, textbox, imagebox, image_process_mode, segbox, seg_process_mode], [state, chatbot, textbox, imagebox, segbox] + btn_list
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).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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demo.load(load_demo_refresh_model_list, None, [state
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return demo
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@@ -354,7 +354,10 @@ if __name__ == "__main__":
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logger.info(args)
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demo = build_demo(args.embed)
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demo.queue(
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server_name=args.host,
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server_port=args.port,
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share=args.share
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def load_demo_refresh_model_list(request: gr.Request):
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logger.info(f"load_demo. ip: {request.client.host}")
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state = default_conversation.copy()
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return state
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def vote_last_response(state, vote_type, model_selector, request: gr.Request):
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vote_last_response(state, "flag", model_selector, request)
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return ("",) + (disable_btn,) * 3
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def regenerate(state, image_process_mode, seg_process_mode, depth_process_mode):
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state.messages[-1][-1] = None
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prev_human_msg = state.messages[-2]
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if type(prev_human_msg[1]) in (tuple, list):
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prev_human_msg[1] = (*prev_human_msg[1][:2], image_process_mode, prev_human_msg[1][3], seg_process_mode, prev_human_msg[1][5], depth_process_mode)
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state.skip_next = False
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return (state, state.to_gradio_chatbot(), "", None, None, None, None) + (disable_btn,) * 5
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def clear_history(request: gr.Request):
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state = default_conversation.copy()
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return (state, state.to_gradio_chatbot(), "", None, None, None, None) + (disable_btn,) * 5
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def add_text(state, text, image, image_process_mode, seg, seg_process_mode, depth, depth_process_mode, request: gr.Request):
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logger.info(f"add_text. len: {len(text)}")
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if len(text) <= 0 and image is None:
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state.skip_next = True
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return (state, state.to_gradio_chatbot(), "", None, None, None, None) + (no_change_btn,) * 5
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if args.moderate:
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flagged = violates_moderation(text)
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if flagged:
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state.skip_next = True
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return (state, state.to_gradio_chatbot(), moderation_msg, None, None, None, None) + (
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no_change_btn,) * 5
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text = text[:1200] # Hard cut-off
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if image is not None:
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text = text[:864] # Hard cut-off for images
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if '<image>' not in text:
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text = '<image>\n' + text
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if seg is not None:
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if '<seg>' not in text:
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text = '<seg>\n' + text
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if depth is not None:
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if '<depth>' not in text:
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text = '<depth>\n' + text
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text = (text, image, image_process_mode, seg, seg_process_mode, depth, depth_process_mode)
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if len(state.get_images(return_pil=True)) > 0:
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state = default_conversation.copy()
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state.append_message(state.roles[0], text)
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state.append_message(state.roles[1], None)
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state.skip_next = False
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return (state, state.to_gradio_chatbot(), "", None, None, None, None) + (disable_btn,) * 5
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def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request: gr.Request):
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"stop": state.sep if state.sep_style in [SeparatorStyle.SINGLE, SeparatorStyle.MPT] else state.sep2,
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"images": f'List of {len(state.get_images())}',
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"segs": f'List of {len(state.get_segs())}',
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"depths": f'List of {len(state.get_depths())}',
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}
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logger.info(f"==== request ====\n{pload}")
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pload['images'] = state.get_images()
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pload['segs'] = state.get_segs()
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pload['depths'] = state.get_depths()
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state.messages[-1][-1] = "▌"
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yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5
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state.messages[-1][-1] = state.messages[-1][-1][:-1]
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yield (state, state.to_gradio_chatbot()) + (enable_btn,) * 5
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logger.info(f"{output}")
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with gr.Row(elem_id="model_selector_row"):
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model_selector = gr.Dropdown(
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choices=models,
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value=models[0]+"-4bit" if len(models) > 0 else "",
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interactive=True,
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show_label=False,
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container=False)
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["Crop", "Resize", "Pad", "Default"],
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value="Default",
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label="Preprocess for non-square Seg Map", visible=False)
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depthbox = gr.Image(type="pil", label="Depth Map")
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depth_process_mode = gr.Radio(
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["Crop", "Resize", "Pad", "Default"],
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value="Default",
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label="Preprocess for non-square Depth Map", visible=False)
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with gr.Accordion("Parameters", open=False) as parameter_row:
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temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.8, step=0.1, interactive=True, label="Temperature",)
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cur_dir = os.path.dirname(os.path.abspath(__file__))
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gr.Examples(examples=[
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[f"{cur_dir}/examples/suits.jpg", f"{cur_dir}/examples/suits_pan.png", f"{cur_dir}/examples/suits_depth.jpeg", "Can you describe the depth order of the objects in this image, from closest to farthest?", "0.5", "0.5"],
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], inputs=[imagebox, segbox, depthbox, textbox, temperature, top_p])
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if not embed_mode:
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gr.Markdown(tos_markdown)
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[state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn])
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flag_btn.click(flag_last_response,
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[state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn])
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regenerate_btn.click(regenerate, [state, image_process_mode, seg_process_mode, depth_process_mode],
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[state, chatbot, textbox, imagebox, segbox, depthbox] + btn_list).then(
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http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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clear_btn.click(clear_history, None, [state, chatbot, textbox, imagebox, segbox, depthbox] + btn_list)
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textbox.submit(add_text, [state, textbox, imagebox, image_process_mode, segbox, seg_process_mode, depthbox, depth_process_mode], [state, chatbot, textbox, imagebox, segbox, depthbox] + btn_list
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).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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submit_btn.click(add_text, [state, textbox, imagebox, image_process_mode, segbox, seg_process_mode, depthbox, depth_process_mode], [state, chatbot, textbox, imagebox, segbox, depthbox] + btn_list
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).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens],
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[state, chatbot] + btn_list)
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demo.load(load_demo_refresh_model_list, None, [state])
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return demo
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logger.info(args)
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demo = build_demo(args.embed)
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demo.queue(
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concurrency_count=args.concurrency_count,
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api_open=False
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).launch(
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server_name=args.host,
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server_port=args.port,
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share=args.share
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