Dave67350 commited on
Commit
e612c9d
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1 Parent(s): b5deb32

Update Gradio_UI.py

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Files changed (1) hide show
  1. Gradio_UI.py +25 -20
Gradio_UI.py CHANGED
@@ -82,31 +82,30 @@ def continue_conversation(user_input):
82
 
83
  if conversation_state["step"] < len(conversation_state["questions"]):
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  next_question = conversation_state["questions"][conversation_state["step"]][1]
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- messages.append({"role": "assistant", "content": f"🧠 {next_question}"})
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  return messages, None
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  else:
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  pdf_path = export_pdf(conversation_state["title"], conversation_state["answers"], lang=conversation_state["lang"])
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  messages.append({"role": "assistant", "content": "✅ Done! Your document is ready to download."})
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  return messages, pdf_path
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- # === Gradio Interface ===
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- with gr.Blocks(
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- title="Regulatory Compliance Generator",
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- css="""
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- footer,
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- a[href*="gradio.app"],
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- a[href*="huggingface.co"],
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- button[aria-label="Share"],
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- button[title="Share"],
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- button[data-testid="share-button"],
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- .svelte-drgfjz[data-testid="share-button"],
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- .svelte-drgfjz svg path[d^="M15 8a3"],
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- .chatbot button[data-testid="share-button"] {
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- display: none !important;
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- }
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  """
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- ) as demo:
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- # GDPR Notice
 
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  gr.Markdown("""
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  ### 🔒 GDPR Notice
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  This assistant does not store any personal data.
@@ -114,6 +113,8 @@ with gr.Blocks(
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  You are responsible for the accuracy and legality of the information submitted.
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  """)
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  with gr.Row():
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  reg_dropdown = gr.Dropdown(
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  choices=list(DOCUMENT_TO_MODULE.keys()),
@@ -138,11 +139,15 @@ with gr.Blocks(
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  reg_dropdown.change(update_doc_dropdown, inputs=reg_dropdown, outputs=doc_dropdown)
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  start_btn = gr.Button("🚀 Start")
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- chatbox = gr.Chatbot(label="🧑‍⚖️ Legalbot", value=[], type="messages", elem_classes=["chatbot"])
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  user_input = gr.Textbox(label="Your answer", placeholder="Type your answer and press Enter")
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  pdf_output = gr.File(label="Download PDF", visible=True)
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- start_btn.click(start_conversation, inputs=[reg_dropdown, doc_dropdown], outputs=chatbox)
 
 
 
 
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  user_input.submit(continue_conversation, inputs=user_input, outputs=[chatbox, pdf_output])
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  user_input.submit(lambda: "", None, user_input)
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82
 
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  if conversation_state["step"] < len(conversation_state["questions"]):
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  next_question = conversation_state["questions"][conversation_state["step"]][1]
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+ messages.append({"role": "assistant", "content": f"🧐 {next_question}"})
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  return messages, None
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  else:
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  pdf_path = export_pdf(conversation_state["title"], conversation_state["answers"], lang=conversation_state["lang"])
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  messages.append({"role": "assistant", "content": "✅ Done! Your document is ready to download."})
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  return messages, pdf_path
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+ # === Custom CSS for Cleanup ===
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+ def get_custom_css():
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+ return """
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+ <style>
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+ footer,
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+ a[href*='gradio.app'],
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+ a[href*='huggingface.co'],
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+ button[aria-label='Share'],
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+ button[data-testid='share-button'],
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+ button[title='Share'] {
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+ display: none !important;
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+ }
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+ </style>
 
 
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  """
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+
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+ # === Gradio Interface ===
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+ with gr.Blocks(title="Regulatory Compliance Generator") as demo:
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  gr.Markdown("""
110
  ### 🔒 GDPR Notice
111
  This assistant does not store any personal data.
 
113
  You are responsible for the accuracy and legality of the information submitted.
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  """)
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+ css_injector = gr.HTML(get_custom_css())
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+
118
  with gr.Row():
119
  reg_dropdown = gr.Dropdown(
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  choices=list(DOCUMENT_TO_MODULE.keys()),
 
139
  reg_dropdown.change(update_doc_dropdown, inputs=reg_dropdown, outputs=doc_dropdown)
140
 
141
  start_btn = gr.Button("🚀 Start")
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+ chatbox = gr.Chatbot(label="🧑‍⚖️ Legalbot", value=[], type="messages")
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  user_input = gr.Textbox(label="Your answer", placeholder="Type your answer and press Enter")
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  pdf_output = gr.File(label="Download PDF", visible=True)
145
 
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+ def start_conversation_and_inject_css(reg, doc):
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+ css_injector.update(get_custom_css())
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+ return start_conversation(reg, doc)
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+
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+ start_btn.click(start_conversation_and_inject_css, inputs=[reg_dropdown, doc_dropdown], outputs=chatbox)
151
  user_input.submit(continue_conversation, inputs=user_input, outputs=[chatbox, pdf_output])
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  user_input.submit(lambda: "", None, user_input)
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