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Update app.py
Browse files
app.py
CHANGED
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@@ -5,7 +5,7 @@ from collections import defaultdict
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from typing import List, Dict
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import gradio as gr
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from langsmith import Client
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from config import (
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DEFAULT_MODEL,
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@@ -32,7 +32,6 @@ from rag_engine import (
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from syllabus_utils import extract_course_topics_from_file
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# ================== Assets ==================
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# HANBRIDGE_LOGO_PATH = "hanbridge_logo.png"
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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" # 确保存在
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@@ -264,17 +263,18 @@ else:
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# ===== LangSmith logging =====
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ls_client = Client()
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LS_DATASET_NAME = "clare_user_events"
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def log_event(data: Dict):
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"""
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-
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每个事件是一条 example
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"""
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try:
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inputs = {
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"question": data.get("question"),
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"event_type": data.get("event_type"),
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"student_id": data.get("student_id"),
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}
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outputs = {
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@@ -295,6 +295,7 @@ def log_event(data: Dict):
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except Exception as e:
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print("LangSmith log failed:", e)
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# ===== Reference Formatting Helper =====
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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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@@ -344,7 +345,7 @@ def is_academic_query(message: str) -> bool:
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"thanks", "thank", "thank you",
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"ok", "okay",
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"bye", "goodbye", "see you",
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"haha", "lol"
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}
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tokens = m.split()
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@@ -381,17 +382,17 @@ 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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#
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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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#
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last_question_state = gr.State("")
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last_answer_state = gr.State("")
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#
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user_name_state = gr.State("")
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user_id_state = gr.State("")
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@@ -508,12 +509,18 @@ 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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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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</div>
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"""
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)
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# === Center Main ===
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with gr.Column(scale=3):
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# Instruction + Chat
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gr.Markdown(
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"""
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<div style="background-color:#f9fafb; padding:10px; border-radius:5px; margin-top:10px; font-size:0.9em; color:#555;">
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"""
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)
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chatbot = gr.Chatbot(
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label="",
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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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-
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-
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)
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-
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def handle_like(data, history, user_id, mode_val, model_name_val, lang_pref):
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"""
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data 里一般会带:
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- data["index"] 被点的是第几条对话
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- data["value"] 是 "like" / "dislike"
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你可以用这个信息去调用 LangSmith 的 feedback API
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"""
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idx = data.get("index", -1)
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value = data.get("value", "")
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if idx < 0 or idx >= len(history):
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return
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question, answer = history[idx]
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-
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# 在这里把 question/answer + value 发到 LangSmith
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# (用你之前已经写好的 record_feedback / client.create_feedback 那一套)
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# record_langsmith_feedback(question, answer, value, user_id, mode_val, model_name_val, lang_pref)
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print(f"[LIKE EVENT] idx={idx}, value={value}")
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chatbot.like(
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fn=handle_like,
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inputs=[chatbot, user_id_state, learning_mode, model_name, language_preference],
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outputs=[],
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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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lines=3,
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visible=False,
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)
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feedback_submit_btn = gr.Button(
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"Submit Feedback",
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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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show_label=False,
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container=True,
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autofocus=False,
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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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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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)
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quiz_btn = gr.Button(
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"Let's Try (Micro-Quiz)",
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)
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summary_btn = gr.Button(
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"Summarization",
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)
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gr.Markdown("### Results")
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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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),
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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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),
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clear_btn: gr.update(interactive=True),
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export_btn: gr.update(interactive=True),
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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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),
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clear_btn: gr.update(interactive=False),
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export_btn: gr.update(interactive=False),
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def show_loaded_docs(doc_type_val):
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gr.Info(
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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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)
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return "", chat_history, weaknesses, cognitive_state, new_status, "", ""
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# 更新学生状态
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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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new_status = render_session_status(mode_val, weaknesses, cognitive_state)
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# 将当前这一轮的 Q/A 存入 state
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return "", new_history, weaknesses, cognitive_state, new_status, message, answer
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user_input.submit(
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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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"(Responsible AI definition, risk types, mitigation layers, EU AI Act, etc.).\n"
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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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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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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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# ===== Export / Summary =====
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export_btn.click(
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lambda h, c, m, w, cog: export_conversation(h, c, m, w, cog),
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[
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[result_display],
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)
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if __name__ == "__main__":
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demo.launch(
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share=True,
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server_name="0.0.0.0",
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server_port=7860,
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)
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from typing import List, Dict
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import gradio as gr
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from langsmith import Client
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from config import (
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DEFAULT_MODEL,
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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" # 确保存在
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# ===== LangSmith logging =====
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ls_client = Client()
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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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"question": data.get("question"),
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"student_id": data.get("student_id"),
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}
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outputs = {
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except Exception as e:
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print("LangSmith log failed:", e)
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+
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# ===== Reference Formatting Helper =====
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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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"thanks", "thank", "thank you",
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"ok", "okay",
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"bye", "goodbye", "see you",
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"haha", "lol",
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}
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tokens = m.split()
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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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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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# === Center Main ===
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with gr.Column(scale=3):
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gr.Markdown(
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"""
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<div style="background-color:#f9fafb; padding:10px; border-radius:5px; margin-top:10px; font-size:0.9em; color:#555;">
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"""
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)
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chatbot = gr.Chatbot(
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label="",
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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, # 只是 warning,不影响
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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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"👍 Helpful", size="sm", interactive=False
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)
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thumb_down_btn = gr.Button(
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"👎 Not helpful", size="sm", interactive=False
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)
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feedback_toggle_btn = gr.Button(
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"Give detailed feedback",
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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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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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feedback_submit_btn = gr.Button(
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"Submit Feedback",
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size="sm",
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variant="primary",
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visible=False,
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+
interactive=False,
|
| 580 |
)
|
| 581 |
|
| 582 |
# 用户输入
|
| 583 |
user_input = gr.Textbox(
|
| 584 |
label="Your Input",
|
| 585 |
+
placeholder=(
|
| 586 |
+
"Please log in on the right before asking Clare anything..."
|
| 587 |
+
),
|
| 588 |
show_label=False,
|
| 589 |
container=True,
|
| 590 |
autofocus=False,
|
|
|
|
| 598 |
file_types=[".docx", ".pdf", ".pptx"],
|
| 599 |
file_count="single",
|
| 600 |
height=160,
|
| 601 |
+
label=(
|
| 602 |
+
"Upload additional Module 10 file (.docx/.pdf/.pptx) — optional"
|
| 603 |
+
),
|
| 604 |
interactive=False,
|
| 605 |
)
|
| 606 |
with gr.Column(scale=1):
|
|
|
|
| 673 |
|
| 674 |
gr.Markdown("### Actions")
|
| 675 |
export_btn = gr.Button(
|
| 676 |
+
"Export Conversation",
|
| 677 |
+
size="sm",
|
| 678 |
+
elem_classes="action-btn",
|
| 679 |
+
interactive=False,
|
| 680 |
)
|
| 681 |
quiz_btn = gr.Button(
|
| 682 |
+
"Let's Try (Micro-Quiz)",
|
| 683 |
+
size="sm",
|
| 684 |
+
elem_classes="action-btn",
|
| 685 |
+
interactive=False,
|
| 686 |
)
|
| 687 |
summary_btn = gr.Button(
|
| 688 |
+
"Summarization",
|
| 689 |
+
size="sm",
|
| 690 |
+
elem_classes="action-btn",
|
| 691 |
+
interactive=False,
|
| 692 |
)
|
| 693 |
|
| 694 |
gr.Markdown("### Results")
|
|
|
|
| 718 |
login_state_2: gr.update(),
|
| 719 |
login_state_3: gr.update(),
|
| 720 |
student_info_html: gr.update(
|
| 721 |
+
value=(
|
| 722 |
+
"<p style='color:red; font-size:12px;'>Please enter both "
|
| 723 |
+
"Name and Email/ID to start.</p>"
|
| 724 |
+
)
|
| 725 |
),
|
| 726 |
user_name_state: gr.update(),
|
| 727 |
user_id_state: gr.update(),
|
|
|
|
| 759 |
user_id_state: id_val,
|
| 760 |
user_input: gr.update(
|
| 761 |
interactive=True,
|
| 762 |
+
placeholder=(
|
| 763 |
+
"Ask about Module 10 concepts, Responsible AI, or let Clare test you..."
|
| 764 |
+
),
|
| 765 |
),
|
| 766 |
clear_btn: gr.update(interactive=True),
|
| 767 |
export_btn: gr.update(interactive=True),
|
|
|
|
| 824 |
user_input: gr.update(
|
| 825 |
value="",
|
| 826 |
interactive=False,
|
| 827 |
+
placeholder=(
|
| 828 |
+
"Please log in on the right before asking Clare anything..."
|
| 829 |
+
),
|
| 830 |
),
|
| 831 |
clear_btn: gr.update(interactive=False),
|
| 832 |
export_btn: gr.update(interactive=False),
|
|
|
|
| 917 |
|
| 918 |
def show_loaded_docs(doc_type_val):
|
| 919 |
gr.Info(
|
| 920 |
+
"For this experiment, Clare always includes the pre-loaded Module 10 reading.\n"
|
| 921 |
f"Additional uploaded {doc_type_val} files will be used as supplementary context.",
|
| 922 |
title="Loaded Documents",
|
| 923 |
)
|
|
|
|
| 937 |
doc_type_val,
|
| 938 |
user_id_val,
|
| 939 |
):
|
| 940 |
+
# 没登录就提示
|
| 941 |
if not user_id_val:
|
| 942 |
out_msg = (
|
| 943 |
"🔒 Please log in with your Student Name and Email/ID on the right "
|
|
|
|
| 961 |
)
|
| 962 |
return "", chat_history, weaknesses, cognitive_state, new_status, "", ""
|
| 963 |
|
|
|
|
| 964 |
weaknesses = update_weaknesses_from_message(message, weaknesses or [])
|
| 965 |
cognitive_state = update_cognitive_state_from_message(message, cognitive_state)
|
| 966 |
|
|
|
|
| 1024 |
|
| 1025 |
new_status = render_session_status(mode_val, weaknesses, cognitive_state)
|
| 1026 |
|
| 1027 |
+
# 将当前这一轮的 Q/A 存入 state,供 thumbs / 文字反馈使用
|
| 1028 |
return "", new_history, weaknesses, cognitive_state, new_status, message, answer
|
| 1029 |
|
| 1030 |
user_input.submit(
|
|
|
|
| 1091 |
"• Do NOT start a content question until I have answered 1 or 2.\n\n"
|
| 1092 |
"Step 2 – After I choose the style:\n"
|
| 1093 |
"• If I choose 1 (multiple-choice):\n"
|
| 1094 |
+
" - Ask ONE multiple-choice question at a time, based on Module 10 concepts.\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"
|
|
|
|
| 1203 |
except Exception as e:
|
| 1204 |
print("thumb_up log error:", e)
|
| 1205 |
|
| 1206 |
+
def send_thumb_down(
|
| 1207 |
+
last_q, last_a, user_id_val, mode_val, model_name_val, lang_pref
|
| 1208 |
+
):
|
| 1209 |
if not last_q and not last_a:
|
| 1210 |
print("No last QA to log for thumbs_down.")
|
| 1211 |
return
|
|
|
|
| 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 |
|
|
|
|
| 1352 |
|
| 1353 |
if __name__ == "__main__":
|
| 1354 |
demo.launch(
|
| 1355 |
+
share=True, # HF Space 环境需要 share=True 才能访问
|
| 1356 |
server_name="0.0.0.0",
|
| 1357 |
server_port=7860,
|
| 1358 |
)
|