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Update app.py
Browse files
app.py
CHANGED
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@@ -34,7 +34,7 @@ from syllabus_utils import extract_course_topics_from_file
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# ================== Assets ==================
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CLARE_LOGO_PATH = "clare_mascot.png"
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CLARE_RUN_PATH = "Clare_Run.png"
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-
CLARE_READING_PATH = "Clare_reading.png"
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# ================== Base64 Helper ==================
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def image_to_base64(image_path: str) -> str:
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@@ -181,12 +181,10 @@ Currently: English & 简体中文.
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"""
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}
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-
# ================== CSS
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CUSTOM_CSS = """
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-
/* --- Main Header --- */
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.header-container { padding: 10px 20px; background-color: #ffffff; border-bottom: 2px solid #f3f4f6; margin-bottom: 15px; display: flex; align-items: center; }
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/* --- Sidebar Login Panel --- */
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.login-panel {
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background-color: #e5e7eb;
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padding: 15px;
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@@ -213,7 +211,6 @@ CUSTOM_CSS = """
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font-weight: bold !important;
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}
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/* User Guide */
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.main-user-guide { border: none !important; background: transparent !important; box-shadow: none !important; }
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.main-user-guide > .label-wrap { border: none !important; background: transparent !important; padding: 10px 0 !important; }
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.main-user-guide > .label-wrap span { font-size: 1.3rem !important; font-weight: 800 !important; color: #111827 !important; }
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@@ -223,24 +220,16 @@ CUSTOM_CSS = """
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.clean-accordion > .label-wrap span { font-size: 0.9rem !important; font-weight: 500 !important; color: #374151 !important; }
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.clean-accordion > .label-wrap:hover { background-color: #f9fafb !important; }
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/* Action Buttons */
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.action-btn { font-weight: bold !important; font-size: 0.9rem !important; position: relative; overflow: visible !important; }
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.action-btn:hover::before { content: "See User Guide for details"; position: absolute; bottom: 110%; left: 50%; transform: translateX(-50%); background-color: #333; color: #fff; padding: 5px 10px; border-radius: 5px; font-size: 12px; white-space: nowrap; z-index: 1000; pointer-events: none; opacity: 0; animation: fadeIn 0.2s forwards; }
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.action-btn:hover::after { content: ""; position: absolute; bottom: 100%; left: 50%; margin-left: -5px; border-width: 5px; border-style: solid; border-color: #333 transparent transparent transparent; opacity: 0; animation: fadeIn 0.2s forwards; }
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/* Tooltips & Memory Line */
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.html-tooltip { border-bottom: 1px dashed #999; cursor: help; position: relative; }
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.html-tooltip:hover::before { content: attr(data-tooltip); position: absolute; bottom: 120%; left: 0; background-color: #333; color: #fff; padding: 5px 8px; border-radius: 4px; font-size: 11px; white-space: nowrap; z-index: 100; pointer-events: none; }
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.memory-line-box { border: 1px solid #e5e7eb; padding: 12px; border-radius: 8px; background-color: #f9fafb; height: 100%; display: flex; flex-direction: column; justify-content: space-between; }
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/* Results Box Style */
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.result-box { border: 1px solid #e5e7eb; background: #ffffff; padding: 10px; border-radius: 8px; height: 100%; }
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.result-box .prose { font-size: 0.9rem; }
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-
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@keyframes fadeIn { to { opacity: 1; } }
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"""
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# ========== Preload Module 10
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MODULE10_PATH = "module10_responsible_ai.pdf"
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MODULE10_DOC_TYPE = "Literature Review / Paper"
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@@ -267,10 +256,6 @@ LS_DATASET_NAME = "clare_user_events"
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def log_event(data: Dict):
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"""
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写入 LangSmith dataset:clare_user_events
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每个事件是一条 example(inputs / outputs / metadata)
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"""
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try:
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inputs = {
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"event_type": data.get("event_type"),
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@@ -296,7 +281,7 @@ def log_event(data: Dict):
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print("LangSmith log failed:", e)
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# ===== Reference
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def format_references(
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rag_chunks: List[Dict], max_files: int = 2, max_sections_per_file: int = 3
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) -> str:
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@@ -382,17 +367,14 @@ with gr.Blocks(
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title="Clare – Hanbridge AI Teaching Assistant", css=CUSTOM_CSS
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) as demo:
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# 全局状态
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course_outline_state = gr.State(preloaded_topics or DEFAULT_COURSE_TOPICS)
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weakness_state = gr.State([])
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cognitive_state_state = gr.State({"confusion": 0, "mastery": 0})
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rag_chunks_state = gr.State(preloaded_chunks or [])
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# 最近一次回答(用于 thumbs / 详细反馈)
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last_question_state = gr.State("")
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last_answer_state = gr.State("")
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# 用户登录状态
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user_name_state = gr.State("")
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user_id_state = gr.State("")
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@@ -447,7 +429,6 @@ with gr.Blocks(
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interactive=False,
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)
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# User Guide
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with gr.Accordion(
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"User Guide", open=True, elem_classes="main-user-guide"
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):
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@@ -509,18 +490,12 @@ with gr.Blocks(
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gr.Markdown(USER_GUIDE_SECTIONS["faq"])
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gr.Markdown("---")
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gr.Button(
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"System Settings",
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size="sm",
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variant="secondary",
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interactive=False,
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)
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gr.HTML(
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"""
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<div style="font-size: 11px; color: #9ca3af; margin-top: 15px; text-align: left;">
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© 2025 Made by <a href="https://www.linkedin.com/in/qinghua-xia-479199252/"
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target="_blank" style="color: #6b7280; text-decoration: underline;">Sarah Xia</a>
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</div>
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"""
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)
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@@ -543,11 +518,10 @@ with gr.Blocks(
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height=450,
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avatar_images=(None, CLARE_LOGO_PATH),
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show_label=False,
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bubble_full_width=False,
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type="tuples",
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)
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-
# === Feedback on last answer ===
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gr.Markdown("#### Rate Clare’s last answer")
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with gr.Row():
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thumb_up_btn = gr.Button(
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@@ -565,9 +539,7 @@ with gr.Blocks(
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)
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feedback_text = gr.Textbox(
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label="What worked well or what was wrong?",
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placeholder=
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"Optional: describe what you liked / what was confusing or incorrect."
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),
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lines=3,
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visible=False,
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)
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@@ -579,28 +551,22 @@ with gr.Blocks(
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interactive=False,
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)
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# 用户输入
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user_input = gr.Textbox(
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label="Your Input",
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placeholder=
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"Please log in on the right before asking Clare anything..."
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),
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show_label=False,
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container=True,
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autofocus=False,
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interactive=False,
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)
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# Upload / File type / Memory Line
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with gr.Row():
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with gr.Column(scale=2):
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syllabus_file = gr.File(
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file_types=[".docx", ".pdf", ".pptx"],
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file_count="single",
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height=160,
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label=(
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"Upload additional Module 10 file (.docx/.pdf/.pptx) — optional"
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),
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interactive=False,
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)
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with gr.Column(scale=1):
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gr.Markdown("### Actions")
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export_btn = gr.Button(
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"Export Conversation",
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size="sm",
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elem_classes="action-btn",
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interactive=False,
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)
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quiz_btn = gr.Button(
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"Let's Try (Micro-Quiz)",
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size="sm",
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elem_classes="action-btn",
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interactive=False,
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)
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summary_btn = gr.Button(
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"Summarization",
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size="sm",
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elem_classes="action-btn",
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interactive=False,
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)
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gr.Markdown("### Results")
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)
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# ================== Login Flow ==================
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-
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def show_inputs():
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return {
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login_state_1: gr.update(visible=False),
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login_state_2: gr.update(),
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login_state_3: gr.update(),
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student_info_html: gr.update(
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value=
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"<p style='color:red; font-size:12px;'>Please enter both "
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"Name and Email/ID to start.</p>"
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)
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),
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user_name_state: gr.update(),
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user_id_state: gr.update(),
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user_id_state: id_val,
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user_input: gr.update(
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interactive=True,
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placeholder=
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"Ask about Module 10 concepts, Responsible AI, or let Clare test you..."
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),
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),
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clear_btn: gr.update(interactive=True),
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export_btn: gr.update(interactive=True),
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learning_mode: gr.update(interactive=True),
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model_name: gr.update(interactive=False),
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docs_btn: gr.update(interactive=True),
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thumb_up_btn: gr.update(
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-
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feedback_toggle_btn: gr.update(interactive=True),
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feedback_text: gr.update(visible=False, value=""),
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feedback_submit_btn: gr.update(interactive=True, visible=False),
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user_input: gr.update(
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value="",
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interactive=False,
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placeholder=
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"Please log in on the right before asking Clare anything..."
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),
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),
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clear_btn: gr.update(interactive=False),
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export_btn: gr.update(interactive=False),
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)
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# ================== Main Logic ==================
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-
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def update_course_and_rag(file, doc_type_val):
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"""
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上传的文件会在 Module10 预加载的基础上「追加」,而不是替换。
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"""
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local_topics = preloaded_topics or []
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local_chunks = preloaded_chunks or []
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def show_loaded_docs(doc_type_val):
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gr.Info(
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"For this experiment, Clare always includes the pre-loaded Module 10 reading.\n"
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f"Additional uploaded {doc_type_val} files will be used as supplementary context.",
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title="Loaded Documents",
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)
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doc_type_val,
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user_id_val,
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):
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#
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if not user_id_val:
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out_msg = (
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"🔒 Please log in with your Student Name and Email/ID on the right "
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weaknesses or [],
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cognitive_state or {"confusion": 0, "mastery": 0},
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)
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-
return
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resolved_lang = detect_language(message or "", lang_pref)
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weaknesses or [],
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cognitive_state or {"confusion": 0, "mastery": 0},
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)
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-
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weaknesses = update_weaknesses_from_message(message, weaknesses or [])
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cognitive_state = update_cognitive_state_from_message(message, cognitive_state)
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-
# RAG:只对学术问题启用
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if is_academic_query(message):
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rag_context_text, rag_used_chunks = retrieve_relevant_chunks(
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message, rag_chunks or []
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end_ts = time.time()
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latency_ms = (end_ts - start_ts) * 1000.0
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# 只在学术型问题上附 References
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if is_academic_query(message) and rag_used_chunks:
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ref_text = format_references(rag_used_chunks)
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else:
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new_history[-1] = [last_user, last_assistant]
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answer = last_assistant
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# LangSmith 日志
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student_id = user_id_val or "ANON"
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experiment_id = "RESP_AI_W10"
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try:
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new_status = render_session_status(mode_val, weaknesses, cognitive_state)
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#
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-
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user_input.submit(
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respond,
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session_status,
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last_question_state,
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last_answer_state,
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],
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)
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-
# ===== Micro-Quiz
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def start_micro_quiz(
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chat_history,
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course_outline,
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"• Do NOT start a content question until I have answered 1 or 2.\n\n"
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"Step 2 – After I choose the style:\n"
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"• If I choose 1 (multiple-choice):\n"
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" - Ask ONE multiple-choice question at a time, based on Module 10 concepts
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" - Provide 3–4 options (A, B, C, D) and make only one option clearly correct.\n"
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"• If I choose 2 (short-answer):\n"
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" - Ask ONE short-answer question at a time, also based on Module 10 concepts.\n"
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def send_thumb_up(last_q, last_a, user_id_val, mode_val, model_name_val, lang_pref):
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if not last_q and not last_a:
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print("No last QA to log for thumbs_up.")
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-
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try:
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log_event(
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{
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except Exception as e:
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print("thumb_up log error:", e)
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def send_thumb_down(
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last_q, last_a, user_id_val, mode_val, model_name_val, lang_pref
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):
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if not last_q and not last_a:
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print("No last QA to log for thumbs_down.")
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return
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try:
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log_event(
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{
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except Exception as e:
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print("thumb_down log error:", e)
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| 1230 |
thumb_up_btn.click(
|
| 1231 |
send_thumb_up,
|
| 1232 |
[
|
|
@@ -1237,7 +1261,7 @@ with gr.Blocks(
|
|
| 1237 |
model_name,
|
| 1238 |
language_preference,
|
| 1239 |
],
|
| 1240 |
-
[],
|
| 1241 |
)
|
| 1242 |
|
| 1243 |
thumb_down_btn.click(
|
|
@@ -1250,7 +1274,7 @@ with gr.Blocks(
|
|
| 1250 |
model_name,
|
| 1251 |
language_preference,
|
| 1252 |
],
|
| 1253 |
-
[],
|
| 1254 |
)
|
| 1255 |
|
| 1256 |
def submit_detailed_feedback(
|
|
@@ -1303,13 +1327,7 @@ with gr.Blocks(
|
|
| 1303 |
# ===== Export / Summary =====
|
| 1304 |
export_btn.click(
|
| 1305 |
lambda h, c, m, w, cog: export_conversation(h, c, m, w, cog),
|
| 1306 |
-
[
|
| 1307 |
-
chatbot,
|
| 1308 |
-
course_outline_state,
|
| 1309 |
-
learning_mode,
|
| 1310 |
-
weakness_state,
|
| 1311 |
-
cognitive_state_state,
|
| 1312 |
-
],
|
| 1313 |
[result_display],
|
| 1314 |
)
|
| 1315 |
|
|
@@ -1332,7 +1350,18 @@ with gr.Blocks(
|
|
| 1332 |
def clear_all():
|
| 1333 |
empty_state = {"confusion": 0, "mastery": 0}
|
| 1334 |
default_status = render_session_status("Concept Explainer", [], empty_state)
|
| 1335 |
-
return
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1336 |
|
| 1337 |
clear_btn.click(
|
| 1338 |
clear_all,
|
|
@@ -1346,13 +1375,15 @@ with gr.Blocks(
|
|
| 1346 |
session_status,
|
| 1347 |
last_question_state,
|
| 1348 |
last_answer_state,
|
|
|
|
|
|
|
| 1349 |
],
|
| 1350 |
queue=False,
|
| 1351 |
)
|
| 1352 |
|
| 1353 |
if __name__ == "__main__":
|
| 1354 |
demo.launch(
|
| 1355 |
-
share=True,
|
| 1356 |
server_name="0.0.0.0",
|
| 1357 |
server_port=7860,
|
| 1358 |
)
|
|
|
|
| 34 |
# ================== Assets ==================
|
| 35 |
CLARE_LOGO_PATH = "clare_mascot.png"
|
| 36 |
CLARE_RUN_PATH = "Clare_Run.png"
|
| 37 |
+
CLARE_READING_PATH = "Clare_reading.png"
|
| 38 |
|
| 39 |
# ================== Base64 Helper ==================
|
| 40 |
def image_to_base64(image_path: str) -> str:
|
|
|
|
| 181 |
"""
|
| 182 |
}
|
| 183 |
|
| 184 |
+
# ================== CSS ==================
|
| 185 |
CUSTOM_CSS = """
|
|
|
|
| 186 |
.header-container { padding: 10px 20px; background-color: #ffffff; border-bottom: 2px solid #f3f4f6; margin-bottom: 15px; display: flex; align-items: center; }
|
| 187 |
|
|
|
|
| 188 |
.login-panel {
|
| 189 |
background-color: #e5e7eb;
|
| 190 |
padding: 15px;
|
|
|
|
| 211 |
font-weight: bold !important;
|
| 212 |
}
|
| 213 |
|
|
|
|
| 214 |
.main-user-guide { border: none !important; background: transparent !important; box-shadow: none !important; }
|
| 215 |
.main-user-guide > .label-wrap { border: none !important; background: transparent !important; padding: 10px 0 !important; }
|
| 216 |
.main-user-guide > .label-wrap span { font-size: 1.3rem !important; font-weight: 800 !important; color: #111827 !important; }
|
|
|
|
| 220 |
.clean-accordion > .label-wrap span { font-size: 0.9rem !important; font-weight: 500 !important; color: #374151 !important; }
|
| 221 |
.clean-accordion > .label-wrap:hover { background-color: #f9fafb !important; }
|
| 222 |
|
|
|
|
| 223 |
.action-btn { font-weight: bold !important; font-size: 0.9rem !important; position: relative; overflow: visible !important; }
|
|
|
|
|
|
|
| 224 |
|
|
|
|
| 225 |
.html-tooltip { border-bottom: 1px dashed #999; cursor: help; position: relative; }
|
|
|
|
| 226 |
.memory-line-box { border: 1px solid #e5e7eb; padding: 12px; border-radius: 8px; background-color: #f9fafb; height: 100%; display: flex; flex-direction: column; justify-content: space-between; }
|
| 227 |
|
|
|
|
| 228 |
.result-box { border: 1px solid #e5e7eb; background: #ffffff; padding: 10px; border-radius: 8px; height: 100%; }
|
| 229 |
.result-box .prose { font-size: 0.9rem; }
|
|
|
|
|
|
|
| 230 |
"""
|
| 231 |
|
| 232 |
+
# ========== Preload Module 10 ==========
|
| 233 |
MODULE10_PATH = "module10_responsible_ai.pdf"
|
| 234 |
MODULE10_DOC_TYPE = "Literature Review / Paper"
|
| 235 |
|
|
|
|
| 256 |
|
| 257 |
|
| 258 |
def log_event(data: Dict):
|
|
|
|
|
|
|
|
|
|
|
|
|
| 259 |
try:
|
| 260 |
inputs = {
|
| 261 |
"event_type": data.get("event_type"),
|
|
|
|
| 281 |
print("LangSmith log failed:", e)
|
| 282 |
|
| 283 |
|
| 284 |
+
# ===== Reference helper =====
|
| 285 |
def format_references(
|
| 286 |
rag_chunks: List[Dict], max_files: int = 2, max_sections_per_file: int = 3
|
| 287 |
) -> str:
|
|
|
|
| 367 |
title="Clare – Hanbridge AI Teaching Assistant", css=CUSTOM_CSS
|
| 368 |
) as demo:
|
| 369 |
|
|
|
|
| 370 |
course_outline_state = gr.State(preloaded_topics or DEFAULT_COURSE_TOPICS)
|
| 371 |
weakness_state = gr.State([])
|
| 372 |
cognitive_state_state = gr.State({"confusion": 0, "mastery": 0})
|
| 373 |
rag_chunks_state = gr.State(preloaded_chunks or [])
|
| 374 |
|
|
|
|
| 375 |
last_question_state = gr.State("")
|
| 376 |
last_answer_state = gr.State("")
|
| 377 |
|
|
|
|
| 378 |
user_name_state = gr.State("")
|
| 379 |
user_id_state = gr.State("")
|
| 380 |
|
|
|
|
| 429 |
interactive=False,
|
| 430 |
)
|
| 431 |
|
|
|
|
| 432 |
with gr.Accordion(
|
| 433 |
"User Guide", open=True, elem_classes="main-user-guide"
|
| 434 |
):
|
|
|
|
| 490 |
gr.Markdown(USER_GUIDE_SECTIONS["faq"])
|
| 491 |
|
| 492 |
gr.Markdown("---")
|
| 493 |
+
gr.Button("System Settings", size="sm", variant="secondary", interactive=False)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 494 |
|
| 495 |
gr.HTML(
|
| 496 |
"""
|
| 497 |
<div style="font-size: 11px; color: #9ca3af; margin-top: 15px; text-align: left;">
|
| 498 |
+
© 2025 Made by <a href="https://www.linkedin.com/in/qinghua-xia-479199252/" target="_blank" style="color: #6b7280; text-decoration: underline;">Sarah Xia</a>
|
|
|
|
| 499 |
</div>
|
| 500 |
"""
|
| 501 |
)
|
|
|
|
| 518 |
height=450,
|
| 519 |
avatar_images=(None, CLARE_LOGO_PATH),
|
| 520 |
show_label=False,
|
| 521 |
+
bubble_full_width=False,
|
| 522 |
type="tuples",
|
| 523 |
)
|
| 524 |
|
|
|
|
| 525 |
gr.Markdown("#### Rate Clare’s last answer")
|
| 526 |
with gr.Row():
|
| 527 |
thumb_up_btn = gr.Button(
|
|
|
|
| 539 |
)
|
| 540 |
feedback_text = gr.Textbox(
|
| 541 |
label="What worked well or what was wrong?",
|
| 542 |
+
placeholder="Optional: describe what you liked / what was confusing or incorrect.",
|
|
|
|
|
|
|
| 543 |
lines=3,
|
| 544 |
visible=False,
|
| 545 |
)
|
|
|
|
| 551 |
interactive=False,
|
| 552 |
)
|
| 553 |
|
|
|
|
| 554 |
user_input = gr.Textbox(
|
| 555 |
label="Your Input",
|
| 556 |
+
placeholder="Please log in on the right before asking Clare anything...",
|
|
|
|
|
|
|
| 557 |
show_label=False,
|
| 558 |
container=True,
|
| 559 |
autofocus=False,
|
| 560 |
interactive=False,
|
| 561 |
)
|
| 562 |
|
|
|
|
| 563 |
with gr.Row():
|
| 564 |
with gr.Column(scale=2):
|
| 565 |
syllabus_file = gr.File(
|
| 566 |
file_types=[".docx", ".pdf", ".pptx"],
|
| 567 |
file_count="single",
|
| 568 |
height=160,
|
| 569 |
+
label="Upload additional Module 10 file (.docx/.pdf/.pptx) — optional",
|
|
|
|
|
|
|
| 570 |
interactive=False,
|
| 571 |
)
|
| 572 |
with gr.Column(scale=1):
|
|
|
|
| 639 |
|
| 640 |
gr.Markdown("### Actions")
|
| 641 |
export_btn = gr.Button(
|
| 642 |
+
"Export Conversation", size="sm", elem_classes="action-btn", interactive=False
|
|
|
|
|
|
|
|
|
|
| 643 |
)
|
| 644 |
quiz_btn = gr.Button(
|
| 645 |
+
"Let's Try (Micro-Quiz)", size="sm", elem_classes="action-btn", interactive=False
|
|
|
|
|
|
|
|
|
|
| 646 |
)
|
| 647 |
summary_btn = gr.Button(
|
| 648 |
+
"Summarization", size="sm", elem_classes="action-btn", interactive=False
|
|
|
|
|
|
|
|
|
|
| 649 |
)
|
| 650 |
|
| 651 |
gr.Markdown("### Results")
|
|
|
|
| 656 |
)
|
| 657 |
|
| 658 |
# ================== Login Flow ==================
|
|
|
|
| 659 |
def show_inputs():
|
| 660 |
return {
|
| 661 |
login_state_1: gr.update(visible=False),
|
|
|
|
| 674 |
login_state_2: gr.update(),
|
| 675 |
login_state_3: gr.update(),
|
| 676 |
student_info_html: gr.update(
|
| 677 |
+
value="<p style='color:red; font-size:12px;'>Please enter both Name and Email/ID to start.</p>"
|
|
|
|
|
|
|
|
|
|
| 678 |
),
|
| 679 |
user_name_state: gr.update(),
|
| 680 |
user_id_state: gr.update(),
|
|
|
|
| 712 |
user_id_state: id_val,
|
| 713 |
user_input: gr.update(
|
| 714 |
interactive=True,
|
| 715 |
+
placeholder="Ask about Module 10 concepts, Responsible AI, or let Clare test you...",
|
|
|
|
|
|
|
| 716 |
),
|
| 717 |
clear_btn: gr.update(interactive=True),
|
| 718 |
export_btn: gr.update(interactive=True),
|
|
|
|
| 725 |
learning_mode: gr.update(interactive=True),
|
| 726 |
model_name: gr.update(interactive=False),
|
| 727 |
docs_btn: gr.update(interactive=True),
|
| 728 |
+
thumb_up_btn: gr.update(
|
| 729 |
+
interactive=True, value="👍 Helpful", variant="secondary"
|
| 730 |
+
),
|
| 731 |
+
thumb_down_btn: gr.update(
|
| 732 |
+
interactive=True, value="👎 Not helpful", variant="secondary"
|
| 733 |
+
),
|
| 734 |
feedback_toggle_btn: gr.update(interactive=True),
|
| 735 |
feedback_text: gr.update(visible=False, value=""),
|
| 736 |
feedback_submit_btn: gr.update(interactive=True, visible=False),
|
|
|
|
| 779 |
user_input: gr.update(
|
| 780 |
value="",
|
| 781 |
interactive=False,
|
| 782 |
+
placeholder="Please log in on the right before asking Clare anything...",
|
|
|
|
|
|
|
| 783 |
),
|
| 784 |
clear_btn: gr.update(interactive=False),
|
| 785 |
export_btn: gr.update(interactive=False),
|
|
|
|
| 829 |
)
|
| 830 |
|
| 831 |
# ================== Main Logic ==================
|
|
|
|
| 832 |
def update_course_and_rag(file, doc_type_val):
|
|
|
|
|
|
|
|
|
|
| 833 |
local_topics = preloaded_topics or []
|
| 834 |
local_chunks = preloaded_chunks or []
|
| 835 |
|
|
|
|
| 866 |
|
| 867 |
def show_loaded_docs(doc_type_val):
|
| 868 |
gr.Info(
|
| 869 |
+
f"For this experiment, Clare always includes the pre-loaded Module 10 reading.\n"
|
| 870 |
f"Additional uploaded {doc_type_val} files will be used as supplementary context.",
|
| 871 |
title="Loaded Documents",
|
| 872 |
)
|
|
|
|
| 886 |
doc_type_val,
|
| 887 |
user_id_val,
|
| 888 |
):
|
| 889 |
+
# 没登录
|
| 890 |
+
default_up = gr.update(
|
| 891 |
+
value="👍 Helpful", variant="secondary", interactive=False
|
| 892 |
+
)
|
| 893 |
+
default_down = gr.update(
|
| 894 |
+
value="👎 Not helpful", variant="secondary", interactive=False
|
| 895 |
+
)
|
| 896 |
+
|
| 897 |
if not user_id_val:
|
| 898 |
out_msg = (
|
| 899 |
"🔒 Please log in with your Student Name and Email/ID on the right "
|
|
|
|
| 905 |
weaknesses or [],
|
| 906 |
cognitive_state or {"confusion": 0, "mastery": 0},
|
| 907 |
)
|
| 908 |
+
return (
|
| 909 |
+
"",
|
| 910 |
+
new_history,
|
| 911 |
+
weaknesses,
|
| 912 |
+
cognitive_state,
|
| 913 |
+
new_status,
|
| 914 |
+
"",
|
| 915 |
+
"",
|
| 916 |
+
default_up,
|
| 917 |
+
default_down,
|
| 918 |
+
)
|
| 919 |
|
| 920 |
resolved_lang = detect_language(message or "", lang_pref)
|
| 921 |
|
|
|
|
| 925 |
weaknesses or [],
|
| 926 |
cognitive_state or {"confusion": 0, "mastery": 0},
|
| 927 |
)
|
| 928 |
+
# 已登录时,允许评分,所以按钮可点
|
| 929 |
+
logged_up = gr.update(
|
| 930 |
+
value="👍 Helpful", variant="secondary", interactive=True
|
| 931 |
+
)
|
| 932 |
+
logged_down = gr.update(
|
| 933 |
+
value="👎 Not helpful", variant="secondary", interactive=True
|
| 934 |
+
)
|
| 935 |
+
return (
|
| 936 |
+
"",
|
| 937 |
+
chat_history,
|
| 938 |
+
weaknesses,
|
| 939 |
+
cognitive_state,
|
| 940 |
+
new_status,
|
| 941 |
+
"",
|
| 942 |
+
"",
|
| 943 |
+
logged_up,
|
| 944 |
+
logged_down,
|
| 945 |
+
)
|
| 946 |
|
| 947 |
weaknesses = update_weaknesses_from_message(message, weaknesses or [])
|
| 948 |
cognitive_state = update_cognitive_state_from_message(message, cognitive_state)
|
| 949 |
|
|
|
|
| 950 |
if is_academic_query(message):
|
| 951 |
rag_context_text, rag_used_chunks = retrieve_relevant_chunks(
|
| 952 |
message, rag_chunks or []
|
|
|
|
| 970 |
end_ts = time.time()
|
| 971 |
latency_ms = (end_ts - start_ts) * 1000.0
|
| 972 |
|
|
|
|
| 973 |
if is_academic_query(message) and rag_used_chunks:
|
| 974 |
ref_text = format_references(rag_used_chunks)
|
| 975 |
else:
|
|
|
|
| 982 |
new_history[-1] = [last_user, last_assistant]
|
| 983 |
answer = last_assistant
|
| 984 |
|
|
|
|
| 985 |
student_id = user_id_val or "ANON"
|
| 986 |
experiment_id = "RESP_AI_W10"
|
| 987 |
try:
|
|
|
|
| 1004 |
|
| 1005 |
new_status = render_session_status(mode_val, weaknesses, cognitive_state)
|
| 1006 |
|
| 1007 |
+
# 新一轮回答出来 -> 重置按钮为默认可点状态
|
| 1008 |
+
logged_up = gr.update(
|
| 1009 |
+
value="👍 Helpful", variant="secondary", interactive=True
|
| 1010 |
+
)
|
| 1011 |
+
logged_down = gr.update(
|
| 1012 |
+
value="👎 Not helpful", variant="secondary", interactive=True
|
| 1013 |
+
)
|
| 1014 |
+
|
| 1015 |
+
return (
|
| 1016 |
+
"",
|
| 1017 |
+
new_history,
|
| 1018 |
+
weaknesses,
|
| 1019 |
+
cognitive_state,
|
| 1020 |
+
new_status,
|
| 1021 |
+
message,
|
| 1022 |
+
answer,
|
| 1023 |
+
logged_up,
|
| 1024 |
+
logged_down,
|
| 1025 |
+
)
|
| 1026 |
|
| 1027 |
user_input.submit(
|
| 1028 |
respond,
|
|
|
|
| 1047 |
session_status,
|
| 1048 |
last_question_state,
|
| 1049 |
last_answer_state,
|
| 1050 |
+
thumb_up_btn,
|
| 1051 |
+
thumb_down_btn,
|
| 1052 |
],
|
| 1053 |
)
|
| 1054 |
|
| 1055 |
+
# ===== Micro-Quiz =====
|
| 1056 |
def start_micro_quiz(
|
| 1057 |
chat_history,
|
| 1058 |
course_outline,
|
|
|
|
| 1090 |
"• Do NOT start a content question until I have answered 1 or 2.\n\n"
|
| 1091 |
"Step 2 – After I choose the style:\n"
|
| 1092 |
"• If I choose 1 (multiple-choice):\n"
|
| 1093 |
+
" - Ask ONE multiple-choice question at a time, based on Module 10 concepts "
|
| 1094 |
+
"(Responsible AI definition, risk types, mitigation layers, EU AI Act, etc.).\n"
|
| 1095 |
" - Provide 3–4 options (A, B, C, D) and make only one option clearly correct.\n"
|
| 1096 |
"• If I choose 2 (short-answer):\n"
|
| 1097 |
" - Ask ONE short-answer question at a time, also based on Module 10 concepts.\n"
|
|
|
|
| 1184 |
def send_thumb_up(last_q, last_a, user_id_val, mode_val, model_name_val, lang_pref):
|
| 1185 |
if not last_q and not last_a:
|
| 1186 |
print("No last QA to log for thumbs_up.")
|
| 1187 |
+
# 仍然返回按钮状态,防止 Gradio 报错
|
| 1188 |
+
return (
|
| 1189 |
+
gr.update(value="👍 Helpful", variant="secondary"),
|
| 1190 |
+
gr.update(value="👎 Not helpful", variant="secondary"),
|
| 1191 |
+
)
|
| 1192 |
try:
|
| 1193 |
log_event(
|
| 1194 |
{
|
|
|
|
| 1207 |
except Exception as e:
|
| 1208 |
print("thumb_up log error:", e)
|
| 1209 |
|
| 1210 |
+
# 实时视觉反馈:左边按钮高亮 + 标记 sent,右边保持可点普通状态
|
| 1211 |
+
return (
|
| 1212 |
+
gr.update(
|
| 1213 |
+
value="👍 Helpful (sent)", variant="primary", interactive=True
|
| 1214 |
+
),
|
| 1215 |
+
gr.update(value="👎 Not helpful", variant="secondary", interactive=True),
|
| 1216 |
+
)
|
| 1217 |
+
|
| 1218 |
def send_thumb_down(
|
| 1219 |
last_q, last_a, user_id_val, mode_val, model_name_val, lang_pref
|
| 1220 |
):
|
| 1221 |
if not last_q and not last_a:
|
| 1222 |
print("No last QA to log for thumbs_down.")
|
| 1223 |
+
return (
|
| 1224 |
+
gr.update(value="👍 Helpful", variant="secondary"),
|
| 1225 |
+
gr.update(value="👎 Not helpful", variant="secondary"),
|
| 1226 |
+
)
|
| 1227 |
try:
|
| 1228 |
log_event(
|
| 1229 |
{
|
|
|
|
| 1242 |
except Exception as e:
|
| 1243 |
print("thumb_down log error:", e)
|
| 1244 |
|
| 1245 |
+
return (
|
| 1246 |
+
gr.update(value="👍 Helpful", variant="secondary", interactive=True),
|
| 1247 |
+
gr.update(
|
| 1248 |
+
value="👎 Not helpful (sent)",
|
| 1249 |
+
variant="primary",
|
| 1250 |
+
interactive=True,
|
| 1251 |
+
),
|
| 1252 |
+
)
|
| 1253 |
+
|
| 1254 |
thumb_up_btn.click(
|
| 1255 |
send_thumb_up,
|
| 1256 |
[
|
|
|
|
| 1261 |
model_name,
|
| 1262 |
language_preference,
|
| 1263 |
],
|
| 1264 |
+
[thumb_up_btn, thumb_down_btn],
|
| 1265 |
)
|
| 1266 |
|
| 1267 |
thumb_down_btn.click(
|
|
|
|
| 1274 |
model_name,
|
| 1275 |
language_preference,
|
| 1276 |
],
|
| 1277 |
+
[thumb_up_btn, thumb_down_btn],
|
| 1278 |
)
|
| 1279 |
|
| 1280 |
def submit_detailed_feedback(
|
|
|
|
| 1327 |
# ===== Export / Summary =====
|
| 1328 |
export_btn.click(
|
| 1329 |
lambda h, c, m, w, cog: export_conversation(h, c, m, w, cog),
|
| 1330 |
+
[chatbot, course_outline_state, learning_mode, weakness_state, cognitive_state_state],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1331 |
[result_display],
|
| 1332 |
)
|
| 1333 |
|
|
|
|
| 1350 |
def clear_all():
|
| 1351 |
empty_state = {"confusion": 0, "mastery": 0}
|
| 1352 |
default_status = render_session_status("Concept Explainer", [], empty_state)
|
| 1353 |
+
return (
|
| 1354 |
+
[],
|
| 1355 |
+
[],
|
| 1356 |
+
empty_state,
|
| 1357 |
+
[],
|
| 1358 |
+
"",
|
| 1359 |
+
default_status,
|
| 1360 |
+
"",
|
| 1361 |
+
"",
|
| 1362 |
+
gr.update(value="👍 Helpful", variant="secondary", interactive=False),
|
| 1363 |
+
gr.update(value="👎 Not helpful", variant="secondary", interactive=False),
|
| 1364 |
+
)
|
| 1365 |
|
| 1366 |
clear_btn.click(
|
| 1367 |
clear_all,
|
|
|
|
| 1375 |
session_status,
|
| 1376 |
last_question_state,
|
| 1377 |
last_answer_state,
|
| 1378 |
+
thumb_up_btn,
|
| 1379 |
+
thumb_down_btn,
|
| 1380 |
],
|
| 1381 |
queue=False,
|
| 1382 |
)
|
| 1383 |
|
| 1384 |
if __name__ == "__main__":
|
| 1385 |
demo.launch(
|
| 1386 |
+
share=True,
|
| 1387 |
server_name="0.0.0.0",
|
| 1388 |
server_port=7860,
|
| 1389 |
)
|