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app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+
+# Configure the generative model
+load_dotenv()
+genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
+
+# Set page configuration
+st.set_page_config(
+    page_title="Minerva Interactive Cookbook",
+    page_icon="/logo.png",
+    layout="wide",
+)
+
+# Logo image
+st.image("logo.png", width=135)
+
+# title
+st.title('Minerva Interactive Cookbook')
+st.write("Welcome to MIC! Use the dropdown menus to generate custom recipes. :cooking:")
+
+
+# Define the list of dropdown options for each category
+rotation_city = ["San Fransisco", "Tokyo",  "Seoul", "Taipei", "Hyderabad", "Buenos Aires", "Berlin"]
+course_options = ["Breakfast", "Appetizer", "Main Course", "Soup", "Salad", "Dessert"]
+portion_options = ["1 person", "2 people", "3 people", "4 people", "5 people", "10 people"]
+diet_options = ["No Restrictions", "Gluten-Free", "Halal", "Kosher", "Pescatarian", "Vegetarian", "Vegan"]
+cooking_difficulty = ["Super Easy", "Easy", "Medium", "Hard"]
+spice_options = ["No Spice", "Mild", "Medium", "Spicy"]
+calorie_level = ["Low Calorie", "Medium Calorie", "High Calorie"]
+
+
+
+# Create the dropdown boxes
+city = st.selectbox("City:", [""] + rotation_city)
+course = st.selectbox("Course:", [""] + course_options)
+portion = st.selectbox("Portion:", [""] + portion_options)
+diet = st.selectbox("Diet (optional):", [""] + diet_options)
+difficulty = st.selectbox("Difficulty (optional):", [""] + cooking_difficulty)
+spice = st.selectbox("Spice (optional):", [""] + spice_options)
+calorie = st.selectbox("calorie (optional):", [""] + calorie_level)
+# Text input for additional requests
+extra_requests = st.text_input("Optional Requests (e.g., no onions, high fiber):")
+
+
+
+# error handling
+if "" in [city, course, portion]:
+  st.error("Please select a value for following fields: City, Course, and Portion.")
+  st.stop()
+
+
+# define model 
+model = genai.GenerativeModel('gemini-1.5-pro-latest')  
+chat = model.start_chat(history=[])
+
+
+# Button to trigger recipe generation
+if st.button('Find Recipes'):
+
+    # Use the generative model to get recipe information
+    prompt = f"Generate 3 recipes that are available in {city}, for {course} and for {portion}."
+    prompt += """The recipies dont necessarily have to belong to the cousine of the stated city, 
+    the ingredients just have to be easy to find there. Just give at least one local dish. Change currencies by city. 
+    Include ingredient quantities and their prices. The output should be in this example format: 
+    Recipes
+    ---------
+    **Vegetable Yakisoba** - A flavorful lentil and vegetable soup with a hint of spice and sweetness.
+    Ingredients:
+    - 250g Yakisoba Noodles: $2.50
+    - 1 small head Cabbage, shredded: $1.20
+    - 2 large Carrots, julienned: $0.80
+    - 1 Red Bell Pepper, sliced: $0.75
+    - 1 Yellow Bell Pepper, sliced: $0.75
+    - 1 large Onion, sliced: $0.70
+    - 200g Mushrooms, sliced: $2.30
+    - 1/2 cup Soy Sauce: $1.80
+    - 2 tbsp Rice Vinegar: $1.50
+    **Total Estimated Price:** $12.30
+    Instructions:
+    1. Pressure cook the soaked moong dal until soft.
+    2. In a pan, heat ghee/oil and add cumin seeds. Once they splutter.
+    ---------
+    .... and so on"""
+    if diet:
+        prompt += f"It should be suitable for a {diet} diet."
+    if difficulty:
+        prompt += f"It should have a cooking difficulty of {difficulty}."
+    if spice:
+        prompt += f"It should have a spice level of {spice}."
+    if calorie:
+        prompt += f"It should have a calorie level of {calorie}."
+    if extra_requests:
+        prompt += f"Additionally, {extra_requests}"
+
+    response = chat.send_message(prompt)
+    st.write(response.text)
+
+# background image
+st.image("minerva.png")

requirements.txt

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+google-generativeai
+python-dotenv
+streamlit