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Runtime error
Runtime error
teowu
commited on
Commit
β’
43ba66f
1
Parent(s):
067ff7d
add
Browse files- app.py +11 -12
- examples/211.jpg +0 -0
- examples/sausage.jpg +0 -0
app.py
CHANGED
@@ -119,7 +119,6 @@ def add_text(state, text, image, image_process_mode, request: gr.Request):
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def http_bot(state, temperature, top_p, max_new_tokens, request: gr.Request):
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logger.info(f"http_bot. ip: {request.client.host}")
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start_tstamp = time.time()
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-
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if state.skip_next:
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# This generate call is skipped due to invalid inputs
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yield (state, state.to_gradio_chatbot()) + (no_change_btn,) * 5
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@@ -205,17 +204,17 @@ def http_bot(state, temperature, top_p, max_new_tokens, request: gr.Request):
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title_markdown = ("""
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<h1 align="center"><a href="https://github.com/
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<h2 align="center">
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<h5 align="center"> If you like our project, please give us a star β¨ on Github for latest update. </h2>
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<div align="center">
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<div style="display:flex; gap: 0.25rem;" align="center">
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<a href='https://github.com/
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<a href="https://
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<a href='https://github.com/
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</div>
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</div>
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@@ -246,7 +245,7 @@ block_css = """
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def build_demo(embed_mode):
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textbox = gr.Textbox(show_label=False, placeholder="Enter text and press ENTER", container=False)
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with gr.Blocks(title="mPLUG-
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state = gr.State()
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if not embed_mode:
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@@ -262,8 +261,8 @@ 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/
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], inputs=[imagebox, textbox])
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with gr.Accordion("Parameters", open=True) as parameter_row:
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@@ -272,7 +271,7 @@ def build_demo(embed_mode):
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max_output_tokens = gr.Slider(minimum=0, maximum=1024, value=512, step=64, interactive=True, label="Max output tokens",)
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with gr.Column(scale=8):
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chatbot = gr.Chatbot(elem_id="Chatbot", label="
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with gr.Row():
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with gr.Column(scale=8):
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textbox.render()
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@@ -376,7 +375,7 @@ if __name__ == "__main__":
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parser.add_argument("--concurrency-count", type=int, default=10)
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parser.add_argument("--model-list-mode", type=str, default="once",
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choices=["once", "reload"])
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parser.add_argument("--model-path", type=str, default="
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parser.add_argument("--device", type=str, default="cuda")
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parser.add_argument("--load-8bit", action="store_true")
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parser.add_argument("--load-4bit", action="store_true")
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@@ -394,5 +393,5 @@ if __name__ == "__main__":
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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=
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)
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def http_bot(state, temperature, top_p, max_new_tokens, request: gr.Request):
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logger.info(f"http_bot. ip: {request.client.host}")
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start_tstamp = time.time()
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if state.skip_next:
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# This generate call is skipped due to invalid inputs
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yield (state, state.to_gradio_chatbot()) + (no_change_btn,) * 5
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title_markdown = ("""
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+
<h1 align="center"><a href="https://github.com/Q-Future/Q-Instruct"><img src="https://avatars.githubusercontent.com/u/148673336?s=200&v=4", alt="Q-Instruct (mPLUG-Owl-2)" border="0" style="margin: 0 auto; height: 200px;" /></a> </h1>
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<h2 align="center">Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models</h2>
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<h5 align="center"> If you like our project, please give us a star β¨ on Github for latest update. </h2>
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<div align="center">
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<div style="display:flex; gap: 0.25rem;" align="center">
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<a href='https://github.com/Q-Future/Q-Instruct'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
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<a href="https://Q-Instruct.github.io/Q-Instruct/fig/Q_Instruct_v0_1_preview.pdf"><img src="https://img.shields.io/badge/Arxiv-2311.0xxxx-red"></a>
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<a href='https://github.com/Q-Future/Q-Instruct/stargazers'><img src='https://img.shields.io/github/stars/Q-Future/Q-Instruct.svg?style=social'></a>
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</div>
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</div>
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def build_demo(embed_mode):
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textbox = gr.Textbox(show_label=False, placeholder="Enter text and press ENTER", container=False)
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with gr.Blocks(title="Q-Instruct-on-mPLUG-Owl-2", theme=gr.themes.Default(), css=block_css) as demo:
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state = gr.State()
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if not 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/sausage.jpg", "Describe and evaluate the quality of the image."],
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[f"{cur_dir}/examples/211.jpg", "Is this image clear?"],
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], inputs=[imagebox, textbox])
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with gr.Accordion("Parameters", open=True) as parameter_row:
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max_output_tokens = gr.Slider(minimum=0, maximum=1024, value=512, step=64, interactive=True, label="Max output tokens",)
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with gr.Column(scale=8):
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chatbot = gr.Chatbot(elem_id="Chatbot", label="Q-Instruct-Chatbot", height=600)
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with gr.Row():
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with gr.Column(scale=8):
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textbox.render()
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parser.add_argument("--concurrency-count", type=int, default=10)
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parser.add_argument("--model-list-mode", type=str, default="once",
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choices=["once", "reload"])
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parser.add_argument("--model-path", type=str, default="teowu/mplug_owl2_7b_448_qinstruct_preview_v0.1")
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parser.add_argument("--device", type=str, default="cuda")
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parser.add_argument("--load-8bit", action="store_true")
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parser.add_argument("--load-4bit", action="store_true")
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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=True
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)
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examples/211.jpg
ADDED
examples/sausage.jpg
ADDED