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Update app.py
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app.py
CHANGED
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@@ -76,19 +76,15 @@ def math_chatbot(image, sketchpad, question, state):
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return get_math_response(image_description, question)
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css = """
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#qwen-md .katex-display { display: inline; }
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#qwen-md .katex-display>.katex { display: inline; }
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#qwen-md .katex-display>.katex>.katex-html { display: inline; }
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"""
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# Tab selection callback
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def tabs_select(e: gr.SelectData, _state):
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_state["tab_index"] = e.index
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# Gradio interface
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with gr.Blocks(css=css) as demo:
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gr.HTML("""\
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<p align="center"><img src="https://huggingface.co/front/assets/huggingface_logo.svg" style="height: 60px"/><p>"""
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@@ -97,24 +93,23 @@ with gr.Blocks(css=css) as demo:
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<center><font size=3>This demo uses Hugging Face models for OCR and mathematical reasoning. You can input images or text-based questions.</center>"""
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)
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state = gr.State({"tab_index": 0})
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with gr.Row():
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with gr.Column():
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with gr.Tabs() as input_tabs:
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with gr.Tab("Upload"):
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input_image = gr.Image(type="pil", label="Upload")
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with gr.Tab("Sketch"):
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input_sketchpad = gr.Sketchpad(label="Sketch", layers=False)
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input_tabs.select(fn=tabs_select, inputs=[state])
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input_text = gr.Textbox(label="
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with gr.Row():
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with gr.Column():
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clear_btn = gr.ClearButton(
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with gr.Column():
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submit_btn = gr.Button("Submit", variant="primary")
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with gr.Column():
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output_md = gr.Markdown(label="
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latex_delimiters=[{
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"left": "\\(",
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"right": "\\)",
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@@ -123,18 +118,30 @@ with gr.Blocks(css=css) as demo:
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"left": "\\begin\{equation\}",
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"right": "\\end\{equation\}",
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"display": True
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}, {
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"left": "\\[",
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"right": "\\]",
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"display": True
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}],
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elem_id="qwen-md")
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)
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# Launch Gradio app
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demo.launch()
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return get_math_response(image_description, question)
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def tabs_select(e: gr.SelectData, _state):
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_state["tab_index"] = e.index
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css = """
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#qwen-md .katex-display { display: inline; }
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#qwen-md .katex-display>.katex { display: inline; }
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#qwen-md .katex-display>.katex>.katex-html { display: inline; }
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"""
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with gr.Blocks(css=css) as demo:
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gr.HTML("""\
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<p align="center"><img src="https://huggingface.co/front/assets/huggingface_logo.svg" style="height: 60px"/><p>"""
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<center><font size=3>This demo uses Hugging Face models for OCR and mathematical reasoning. You can input images or text-based questions.</center>"""
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)
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state = gr.State({"tab_index": 0})
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with gr.Row():
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with gr.Column():
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with gr.Tabs() as input_tabs:
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with gr.Tab("Upload"):
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input_image = gr.Image(type="pil", label="Upload"),
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with gr.Tab("Sketch"):
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input_sketchpad = gr.Sketchpad(type="pil", label="Sketch", layers=False)
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input_tabs.select(fn=tabs_select, inputs=[state])
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input_text = gr.Textbox(label="input your question")
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with gr.Row():
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with gr.Column():
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clear_btn = gr.ClearButton(
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[*input_image, input_sketchpad, input_text])
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with gr.Column():
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submit_btn = gr.Button("Submit", variant="primary")
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with gr.Column():
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output_md = gr.Markdown(label="answer",
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latex_delimiters=[{
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"left": "\\(",
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"right": "\\)",
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"left": "\\begin\{equation\}",
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"right": "\\end\{equation\}",
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"display": True
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}, {
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"left": "\\begin\{align\}",
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"right": "\\end\{align\}",
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"display": True
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}, {
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"left": "\\begin\{alignat\}",
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"right": "\\end\{alignat\}",
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"display": True
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}, {
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"left": "\\begin\{gather\}",
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"right": "\\end\{gather\}",
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"display": True
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}, {
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"left": "\\begin\{CD\}",
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"right": "\\end\{CD\}",
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"display": True
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}, {
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"left": "\\[",
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"right": "\\]",
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"display": True
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}],
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elem_id="qwen-md")
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submit_btn.click(
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fn=math_chat_bot,
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inputs=[*input_image, input_sketchpad, input_text, state],
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outputs=output_md)
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demo.launch()
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