Spaces:
Running
Running
filters warning implemented
Browse files
app.py
CHANGED
@@ -391,14 +391,16 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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dropdown_sources = gr.Dropdown(
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["Consolidated","Ministry, Department, Agency and Projects","Local Government","Value for Money","Thematic"],
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label="Select Report Category",
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value=
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interactive=True,
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)
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#------ second level filter for selecting subtype within the report category selected above
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dropdown_category = gr.Dropdown(
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new_files["Consolidated"],
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value
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label = "Filter for Sub-Type",
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interactive=True)
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@@ -412,7 +414,8 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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['2018','2019','2020','2021','2022','2023'],
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label="Filter for year",
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multiselect=True,
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value=
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interactive=True,
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)
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gr.Markdown("-------------------------------------------------------------------------")
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@@ -421,7 +424,8 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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new_report_list,
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label="Or select specific reports",
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multiselect=True,
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value=
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interactive=True,)
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############### tab for Question selection ###############
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@@ -589,6 +593,20 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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"""Handle 'not okay' feedback submission"""
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return submit_feedback("not_okay", logs_data)
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okay_btn.click(
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submit_feedback_okay,
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[feedback_state],
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@@ -606,24 +624,164 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
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# Add these state components at the top level of the Blocks
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session_id = gr.State(None)
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client_ip = gr.State(None)
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@demo.load(api_name="get_client_ip")
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def get_client_ip_handler(dummy_input="", request: gr.Request = None):
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"""Handler for getting client IP in Gradio context"""
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return get_client_ip(request)
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#-------------------- Gradio voodoo -------------------------
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# Update the event handlers
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(textbox
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.submit(
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-
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[
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-
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(examples_hidden
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.change(start_chat, [examples_hidden, chatbot], [textbox, tabs, chatbot], queue=False, api_name="start_chat_examples")
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dropdown_sources = gr.Dropdown(
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["Consolidated","Ministry, Department, Agency and Projects","Local Government","Value for Money","Thematic"],
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label="Select Report Category",
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value=None,
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# value="Consolidated",
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interactive=True,
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)
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#------ second level filter for selecting subtype within the report category selected above
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dropdown_category = gr.Dropdown(
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new_files["Consolidated"],
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value=None,
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# value = new_files["Consolidated"],
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label = "Filter for Sub-Type",
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interactive=True)
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['2018','2019','2020','2021','2022','2023'],
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label="Filter for year",
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multiselect=True,
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value=None,
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# value=['2023'],
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interactive=True,
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)
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gr.Markdown("-------------------------------------------------------------------------")
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new_report_list,
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label="Or select specific reports",
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multiselect=True,
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value=None,
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# value=[],
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interactive=True,)
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############### tab for Question selection ###############
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"""Handle 'not okay' feedback submission"""
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return submit_feedback("not_okay", logs_data)
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def handle_feedback(logs_data):
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"""Handle feedback display with proper output format"""
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if logs_data is None:
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return (
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gr.update(visible=False), # feedback_row
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gr.update(visible=False), # feedback_thanks
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None # feedback_state
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)
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return (
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gr.update(visible=True), # feedback_row
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gr.update(visible=False), # feedback_thanks
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logs_data # feedback_state
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)
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okay_btn.click(
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submit_feedback_okay,
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[feedback_state],
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# Add these state components at the top level of the Blocks
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session_id = gr.State(None)
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client_ip = gr.State(None)
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+
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@demo.load(api_name="get_client_ip")
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def get_client_ip_handler(dummy_input="", request: gr.Request = None):
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"""Handler for getting client IP in Gradio context"""
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return get_client_ip(request)
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#-------------------- Filter Warning -------------------------
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warning_state = gr.State(False)
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pending_query = gr.State(None)
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with gr.Row(visible=False) as warning_row:
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gr.Markdown("**No report filter selected. Are you sure you want to proceed?**")
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with gr.Row():
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proceed_btn = gr.Button("Proceed")
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cancel_btn = gr.Button("Cancel")
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def show_warning():
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"""Show warning popup when no filters selected"""
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return gr.update(visible=True)
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def hide_warning():
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"""Hide warning popup"""
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return gr.update(visible=False)
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def check_filters(textbox_value, sources, reports, subtype, year):
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"""Check if any filters are selected"""
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no_filters = (not reports) and (not sources) and (not subtype) and (not year)
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if no_filters:
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# If no filters, show warning and stop chain
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return (
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True, # warning state
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gr.update(visible=True), # warning row visibility
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None, # textbox value (None stops the chain)
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textbox_value # store the query
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)
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# If filters exist, proceed normally
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return (
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False,
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gr.update(visible=False),
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textbox_value, # keep the original value
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None # no need to store query
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)
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async def handle_chat_flow(warning_active, query, chatbot, sources, reports, subtype, year, client_ip, session_id):
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"""Handle chat flow with hard stop for warnings"""
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# Check if any filters are selected
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no_filters = (not reports) and (not sources) and (not subtype) and (not year)
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if warning_active: # Only check warning_active, not no_filters
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# If warning is active, return unchanged components
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return (
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chatbot, # unchanged chatbot
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"", # empty sources
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None, # no feedback state
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session_id # keep session
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)
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# Include start_chat functionality here
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history = chatbot + [(query, None)]
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history = [tuple(x) for x in history]
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# Proceed with chat
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async for update in chat(query, history, sources, reports, subtype, year, client_ip, session_id):
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# The last update will be returned
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chatbot_update, sources_update, feedback_update, session_update = update
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return (
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chatbot_update,
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sources_update,
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feedback_update,
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session_update
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)
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#-------------------- Gradio voodoo -------------------------
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# Update the event handlers
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# (textbox
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# .submit(get_client_ip_handler, [textbox], [client_ip], api_name="get_ip_textbox")
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# .then(start_chat, [textbox, chatbot], [textbox, tabs, chatbot], queue=False, api_name="start_chat_textbox")
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# .then(chat,
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# [textbox, chatbot, dropdown_sources, dropdown_reports, dropdown_category, dropdown_year, client_ip, session_id],
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# [chatbot, sources_textbox, feedback_state, session_id],
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# queue=True, concurrency_limit=8, api_name="chat_textbox")
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# .then(show_feedback, [feedback_state], [feedback_row, feedback_thanks, feedback_state], api_name="show_feedback_textbox")
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# .then(finish_chat, None, [textbox], api_name="finish_chat_textbox"))
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(textbox
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.submit(
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check_filters,
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[textbox, dropdown_sources, dropdown_reports, dropdown_category, dropdown_year],
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[warning_state, warning_row, textbox, pending_query]
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)
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.then(
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get_client_ip_handler,
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[textbox],
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[client_ip],
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show_progress=False
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)
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.then( # Remove start_chat from here
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handle_chat_flow,
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[warning_state, textbox, chatbot, dropdown_sources, dropdown_reports, dropdown_category, dropdown_year, client_ip, session_id],
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[chatbot, sources_textbox, feedback_state, session_id]
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)
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.then(
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handle_feedback,
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[feedback_state],
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[feedback_row, feedback_thanks, feedback_state]
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)
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.then(
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finish_chat,
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None,
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[textbox]
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))
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# Add handlers for the warning buttons
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proceed_btn.click(
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lambda query: (
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False, # warning state
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gr.update(visible=False), # warning row
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gr.update(value=query if query else "", interactive=True), # restore query
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None # clear pending query
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),
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pending_query,
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[warning_state, warning_row, textbox, pending_query]
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).then(
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lambda: False, # Force warning_state to False
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None,
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warning_state
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).then(
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get_client_ip_handler,
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[textbox],
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[client_ip]
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).then( # Remove start_chat call and let handle_chat_flow handle the history update
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handle_chat_flow,
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[warning_state, textbox, chatbot, dropdown_sources, dropdown_reports, dropdown_category, dropdown_year, client_ip, session_id],
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[chatbot, sources_textbox, feedback_state, session_id]
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).then(
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handle_feedback,
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[feedback_state],
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[feedback_row, feedback_thanks, feedback_state]
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).then(
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finish_chat,
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None,
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[textbox]
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)
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cancel_btn.click(
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lambda: (
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False,
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gr.update(visible=False),
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gr.update(value="", interactive=True),
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None
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),
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None,
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[warning_state, warning_row, textbox, pending_query]
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)
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(examples_hidden
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.change(start_chat, [examples_hidden, chatbot], [textbox, tabs, chatbot], queue=False, api_name="start_chat_examples")
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