Create app.py

app.py

@@ -0,0 +1,119 @@
+import gradio as gr
+import openai
+import base64
+import os
+# ✅ 輸入你的 OpenAI API 金鑰
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+
+# ✅ 圖片轉 base64
+def image_to_base64(image_path):
+    with open(image_path, "rb") as img_file:
+        return base64.b64encode(img_file.read()).decode("utf-8")
+
+# ✅ GPT-4o 分析餐點圖片
+def analyze_diet(image_path, goal, gender, age):
+    try:
+        img_b64 = image_to_base64(image_path)
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": f"這是使用者的餐點圖片。性別：{gender}，年齡：{age} 歲，目標：{goal}。請根據圖片中的內容，給出健康分析與一句鼓勵話。格式如下：\n建議：...\n鼓勵：..."
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": f"data:image/jpeg;base64,{img_b64}"
+                        }
+                    }
+                ]
+            }
+        ]
+
+        response = openai.ChatCompletion.create(
+            model="gpt-4o",
+            messages=messages,
+            temperature=0.7
+        )
+        result = response.choices[0].message.content.strip()
+
+        if "建議：" in result and "鼓勵：" in result:
+            suggestion = result.split("建議：")[1].split("鼓勵：")[0].strip()
+            encouragement = result.split("鼓勵：")[1].strip()
+        else:
+            suggestion = result
+            encouragement = "你的飲食選擇很棒！繼續保持～"
+
+        return suggestion, encouragement
+
+    except Exception as e:
+        return "❌ 分析失敗：" + str(e), ""
+
+# ✅ 運動分析（仍為文字輸入）
+def analyze_workout(text, goal, gender, age):
+    prompt = f"""
+你是一位健身教練，使用者性別為 {gender}，年齡 {age} 歲，目標是「{goal}」。
+以下是他的運動紀錄：
+{text}
+請給出運動分析與一句鼓勵話，格式如下：
+建議：...
+鼓勵：...
+"""
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-4o",
+            messages=[
+                {"role": "system", "content": "你是一位健身教練"},
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.7
+        )
+        result = response.choices[0].message.content.strip()
+
+        if "建議：" in result and "鼓勵：" in result:
+            suggestion = result.split("建議：")[1].split("鼓勵：")[0].strip()
+            encouragement = result.split("鼓勵：")[1].strip()
+        else:
+            suggestion = result
+            encouragement = "保持運動習慣，健康就靠你！"
+
+        return suggestion, encouragement
+
+    except Exception as e:
+        return "❌ 分析失敗：" + str(e), ""
+
+# ✅ Gradio UI
+with gr.Blocks() as health_ai:
+    gr.Markdown("# 🧠 我的健康管家 AI")
+    gr.Markdown("上傳你的餐點圖片或輸入運動內容，AI 幫你分析健康狀況並給鼓勵 💪")
+
+    with gr.Tabs():
+        with gr.Tab("🍱 飲食分析（圖片）"):
+            diet_input = gr.Image(label="上傳你的餐點圖片", type="filepath")
+            diet_goal = gr.Radio(["減脂", "增肌", "維持體態"], label="你的目標")
+            diet_gender = gr.Radio(["男", "女"], label="你的性別")
+            diet_age = gr.Textbox(label="你的年齡", placeholder="例如：22")
+            diet_button = gr.Button("開始分析")
+            diet_output = gr.Textbox(label="AI 分析建議")
+            diet_encourage = gr.Textbox(label="AI 鼓勵語")
+
+        with gr.Tab("🏃‍♂️ 運動分析（文字）"):
+            workout_input = gr.Textbox(lines=5, placeholder="例如：慢跑30分鐘，核心訓練15分鐘...")
+            workout_goal = gr.Radio(["減脂", "增肌", "維持體態"], label="你的目標")
+            workout_gender = gr.Radio(["男", "女"], label="你的性別")
+            workout_age = gr.Textbox(label="你的年齡", placeholder="例如：22")
+            workout_button = gr.Button("開始分析")
+            workout_output = gr.Textbox(label="AI 評估與建議")
+            workout_encourage = gr.Textbox(label="AI 鼓勵語")
+
+    diet_button.click(analyze_diet,
+                      inputs=[diet_input, diet_goal, diet_gender, diet_age],
+                      outputs=[diet_output, diet_encourage])
+
+    workout_button.click(analyze_workout,
+                         inputs=[workout_input, workout_goal, workout_gender, workout_age],
+                         outputs=[workout_output, workout_encourage])
+
+health_ai.launch()