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Update app.py
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app.py
CHANGED
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@@ -50,13 +50,10 @@ metric_fc.load_state_dict(checkpoint['fc'])
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scaler_ccmq = joblib.load(f"scaler_ccmq_fold_{FOLD}.pkl")
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scaler_osdi = joblib.load(f"scaler_osdi_fold_{FOLD}.pkl")
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def analyze_and_predict(*all_answers):
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osdi_map = {"總是": 4, "經常": 3, "一半一半": 2, "偶而": 1, "完全不曾": 0}
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x1_raw = np.array([[ccmq_map[a] for a in all_answers[:25]]])
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x2_raw = np.array([[osdi_map[a] for a in all_answers[25:]]])
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x1_scaled = scaler_ccmq.transform(x1_raw)
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x2_scaled = scaler_osdi.transform(x2_raw)
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@@ -99,7 +96,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=".scroll-box { height: 450px; overflo
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with gr.Tabs() as survey_tabs:
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with gr.Tab("CCMQ 體質評估", id=0):
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with gr.Group(elem_classes="scroll-box"):
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ccmq_labels = ["惡寒惡風", "自汗", "胸悶腹脹","咽喉痰梗感","多愁善感","易受驚","面部暗沉","
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all_ccmq = [gr.Radio(["總是", "經常", "有時", "很少", "沒有"], label=f"{i+1}. {txt}") for i, txt in enumerate(ccmq_labels)]
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btn_next = gr.Button("下一步", variant="primary")
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@@ -108,7 +105,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=".scroll-box { height: 450px; overflo
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gr.Markdown("#### A. 眼睛症狀")
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gr.Markdown("#### 在過去一週中,您是否出現下列任一症狀?")
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o1 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="1. 眼睛對光敏感?")
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o2 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="2. 眼睛有異物感?")
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o3 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="3. 眼睛疼痛?")
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o4 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="4. 視線模糊?")
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o5 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="5. 視力減退?")
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@@ -125,7 +121,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=".scroll-box { height: 450px; overflo
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gr.Markdown("#### C. 環境因素不適感")
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gr.Markdown("#### 在過去一週中遇到任一狀況時,您的眼睛是否曾感覺不適?")
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o10 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="10. 刮風的狀況?")
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o11 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="11. 濕度較低?")
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o12 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="12. 區域使用空調?")
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all_osdi = [o1, o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12]
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scaler_ccmq = joblib.load(f"scaler_ccmq_fold_{FOLD}.pkl")
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scaler_osdi = joblib.load(f"scaler_osdi_fold_{FOLD}.pkl")
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model = DualStreamTransformer(n_feat1=24, n_feat2=10, d_model=32).to(DEVICE)
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def analyze_and_predict(*all_answers):
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ccmq_ans = all_answers[:24]
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osdi_ans = all_answers[25:35]
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x1_scaled = scaler_ccmq.transform(x1_raw)
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x2_scaled = scaler_osdi.transform(x2_raw)
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with gr.Tabs() as survey_tabs:
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with gr.Tab("CCMQ 體質評估", id=0):
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with gr.Group(elem_classes="scroll-box"):
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ccmq_labels = ["惡寒惡風", "自汗", "胸悶腹脹","咽喉痰梗感","多愁善感","易受驚","面部暗沉","黑眼圈","健忘","唇色暗","身熱、面熱","膚乾口乾","唇紅","便祕","兩顴紅","眼乾澀","四肢冷","惡寒、腰膝冷","飲冷腹瀉","口苦口臭","帶下色黃/下陰潮濕","鼻塞流涕","變天咳喘","過敏"]
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all_ccmq = [gr.Radio(["總是", "經常", "有時", "很少", "沒有"], label=f"{i+1}. {txt}") for i, txt in enumerate(ccmq_labels)]
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btn_next = gr.Button("下一步", variant="primary")
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gr.Markdown("#### A. 眼睛症狀")
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gr.Markdown("#### 在過去一週中,您是否出現下列任一症狀?")
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o1 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="1. 眼睛對光敏感?")
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o3 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="3. 眼睛疼痛?")
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o4 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="4. 視線模糊?")
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o5 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="5. 視力減退?")
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gr.Markdown("#### C. 環境因素不適感")
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gr.Markdown("#### 在過去一週中遇到任一狀況時,您的眼睛是否曾感覺不適?")
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o10 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="10. 刮風的狀況?")
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o12 = gr.Radio(["總是", "經常","一半一半","偶而","完全不曾"], label="12. 區域使用空調?")
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all_osdi = [o1, o2, o3, o4, o5, o6, o7, o8, o9, o10, o11, o12]
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