Interface form

app.py

@@ -12,14 +12,19 @@ def generate_meal_plan(parameters):
 
 # Define input elements for user input
 inputs = [
-    gr.Textbox(lines=5,
-               placeholder="Enter your personal information (age, gender, weight, height, activity level, dietary "
-                           "preferences, allergies)"),
-    gr.Textbox(lines=4, placeholder="Enter your health goals (weight loss, muscle gain, health markers)"),
-    gr.Textbox(lines=3, placeholder="Enter your food preferences (likes, dislikes, cuisines)"),
-    gr.Textbox(lines=2, placeholder="Enter meal frequency and timing"),
-    gr.Textbox(lines=2, placeholder="Enter cooking skills and preferences"),
-    gr.Textbox(lines=1, placeholder="Enter your budget for groceries"),
+    gr.Number(label='age',
+               placeholder="Enter your age"),
+    gr.Textbox(label='gender',
+               placeholder="Enter your gender"),
+    gr.Number(label='current weight',
+               placeholder="Enter your current weight"),
+    gr.Number(label='desired Weight',
+               placeholder="Enter your desired weight"),
+    gr.Dropdown(label='goal', choices=['weight loss', 'muscle gain', 'maintenance', 'healthy']),
+    gr.Textbox(label='restrictions',lines=5,
+               placeholder="Enter your restrictions (dietary"
+                           ", allergies)"),
+    gr.Textbox(label='preferences',lines=3, placeholder="Enter your food preferences (likes, dislikes, cuisines)"),
 ]
 
 # Define output elements to display the meal plan

meal_planner_api/config.py

@@ -0,0 +1,2 @@
+import os
+API_KEY = os.environ.get("GENAI_API_KEY")

meal_planner_api/connect_llm_api.py

@@ -1,19 +1,15 @@
 import utils
 import google.generativeai as genai
-import os
+from config import API_KEY
 
 
 def generate_content(text: str):
-    GOOGLE_API_KEY = 'AIzaSyA2siKQix1_QLHi9jq6NH3MnO-wQR4zzMU'
     model = connect()
     response = model.generate_content(text)
     return utils.to_markdown(response.text)
 
 
 def connect():
-    API_KEY = os.environ.get("GENAI_API_KEY")
     genai.configure(api_key=API_KEY)
     model = genai.GenerativeModel('gemini-pro')
     return model
-
-