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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()
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