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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()
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