app.py

import gradio as gr
import ai_functions
import os
from openai import OpenAI
import json

def transform_meal_description_to_json(description):
    return ai_functions.ai_function("Meal2Json", description)

def analyze_user_data(likes, dislikes, allergens, diet_plan, calorie_intake, meal_description_json):
    user_data = {
        "likes": likes,
        "dislikes": dislikes,
        "allergens": allergens,
        "diet_plan": diet_plan,
        "calorie_intake": calorie_intake
    }
    description = json.dumps({"meal_data": meal_description_json, "user_data": user_data})
    return ai_functions.ai_function("AnylizeJson", description)

def verify_api_key(api_key):
    if os.environ.get("PASSWORD") == api_key:
        ai_functions.client = OpenAI(api_key=os.environ.get("API_KEY"))
    else:
        ai_functions.client = OpenAI(api_key=api_key)
    try:
        ai_functions.client.models.list()
        return f"OpenAI API is verified."
    except Exception as e:
        return f"OpenAI API isn't verified."

with gr.Blocks() as app:
    with gr.Tab("OpenAI API Settings"):
        with gr.Row():
            api_key_input = gr.Textbox(label="OpenAI API Key")
            api_key_ioutput = gr.Textbox(label="Info",interactive=False)
            Verify_button = gr.Button("Verify")

        Verify_button.click(
            verify_api_key,
            inputs=[api_key_input],
            outputs=[api_key_ioutput]
        )
            
    with gr.Tab("添加餐點描述"):
        with gr.Row():
            meal_description_input = gr.Textbox(label="餐點描述", placeholder="請輸入餐點描述...")
            meal_description_json_output = gr.Textbox(label="餐點 Json", interactive=False)
            transform_button = gr.Button("轉換為 JSON 格式")

        transform_button.click(
            transform_meal_description_to_json,
            inputs=[meal_description_input],
            outputs=[meal_description_json_output]
        )

    with gr.Tab("使用者資訊"):
        with gr.Column():
            likes_input = gr.Textbox(label="喜歡的餐點")
            dislikes_input = gr.Textbox(label="不喜歡的餐點")
            allergens_checklist = gr.CheckboxGroup(label="選擇過敏原", choices=["海鮮", "麩質", "堅果", "乳糖"])
            diet_plan_input = gr.Textbox(label="飲食計畫")
            calorie_intake_input = gr.Textbox(label="卡路里攝取標準")
            analyze_output = gr.Textbox(label="分析結果", interactive=False)
            analyze_button = gr.Button("分析並推薦餐點")

        analyze_button.click(
            analyze_user_data,
            inputs=[likes_input, dislikes_input, allergens_checklist, diet_plan_input, calorie_intake_input, meal_description_json_output],
            outputs=[analyze_output]
        )

app.launch()