Update app.py

app.py

@@ -267,11 +267,17 @@ def generate_real_results(name, height, weight, age, gender, symptom, df_disease
     df_meals_out.update(df_meals)
     download_btn.update(value=pdf_path, visible=True)
 
-# 新的 on_submit 回呼
-def on_submit(name, height, weight, age, gender, symptom, df_disease_out, df_nutrition_out, df_meals_out, download_btn):
-    threading.Thread(target=generate_real_results, args=(name, height, weight, age, gender, symptom, df_disease_out, df_nutrition_out, df_meals_out, download_btn)).start()
-    # 立即回傳空表格（或 loading message）
-    return pd.DataFrame(), pd.DataFrame(), pd.DataFrame(), gr.update(visible=False)
+def on_submit(name, height, weight, age, gender, symptom):
+    # 直接呼叫 GPT
+    raw_text = call_gpt_system(f"""你是一位專業營養師...
+        姓名: {name}, 性別: {gender}, 年齡: {age}, 身高: {height}, 體重: {weight}, 症狀: {symptom}""")
+    
+    df_disease, df_nutrition, df_meals = robust_parse(raw_text)
+    pdf_path = generate_pdf_file(df_disease, df_nutrition, df_meals,
+                                 {"name": name, "gender": gender, "age": age, "height": height, "weight": weight})
+    
+    return df_disease, df_nutrition, df_meals, gr.update(value=pdf_path, visible=True)
+
 
 # --------------------
 # Gradio UI
@@ -303,12 +309,11 @@ with gr.Blocks() as demo:
             df_meals_out = gr.Dataframe(label="中式 / 西式 餐點對照", interactive=False)
             download_btn = gr.DownloadButton(label="一鍵下載 PDF", visible=False, elem_classes=["orange-btn"])
 
-
     submit_btn.click(
         fn=on_submit,
         inputs=[name, height, weight, age, gender, symptom],
         outputs=[df_disease_out, df_nutrition_out, df_meals_out, download_btn],
-    )
+    ).queue(concurrency_count=1, api_open=False)
 
 if __name__ == "__main__":
     demo.launch()