ibrahim yıldız
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Delete app.py
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app.py
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import streamlit as st
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import google.generativeai as genai
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# Configure the generative model
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genai.configure(api_key='AIzaSyDIMoNuz4RgwLKaOCCbdQA09N7RFmCfyTk')
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# Set page configuration
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st.set_page_config(
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page_title="Minerva Interactive Cookbook",
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page_icon="/logo.png",
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layout="wide",
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)
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# Logo image
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st.image("logo.png", width=135)
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# title
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st.title('Minerva Interactive Cookbook')
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st.write("Welcome to MIC! Use the dropdown menus to generate custom recipes. :cooking:")
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# Define the list of dropdown options for each category
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rotation_city = ["San Fransisco", "Tokyo", "Seoul", "Taipei", "Hyderabad", "Buenos Aires", "Berlin"]
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course_options = ["Breakfast", "Appetizer", "Main Course", "Soup", "Salad", "Dessert"]
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portion_options = ["1 person", "2 people", "3 people", "4 people", "5 people", "10 people"]
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diet_options = ["No Restrictions", "Gluten-Free", "Halal", "Kosher", "Pescatarian", "Vegetarian", "Vegan"]
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cooking_difficulty = ["Super Easy", "Easy", "Medium", "Hard"]
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spice_options = ["No Spice", "Mild", "Medium", "Spicy"]
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calorie_level = ["Low Calorie", "Medium Calorie", "High Calorie"]
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# Create the dropdown boxes
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city = st.selectbox("City:", [""] + rotation_city)
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course = st.selectbox("Course:", [""] + course_options)
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portion = st.selectbox("Portion:", [""] + portion_options)
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diet = st.selectbox("Diet (optional):", [""] + diet_options)
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difficulty = st.selectbox("Difficulty (optional):", [""] + cooking_difficulty)
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spice = st.selectbox("Spice (optional):", [""] + spice_options)
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calorie = st.selectbox("calorie (optional):", [""] + calorie_level)
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# Text input for additional requests
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extra_requests = st.text_input("Optional Requests (e.g., no onions, high fiber):")
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# error handling
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if "" in [city, course, portion]:
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st.error("Please select a value for following fields: City, Course, and Portion.")
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st.stop()
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# define model
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model = genai.GenerativeModel('gemini-1.5-pro-latest')
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chat = model.start_chat(history=[])
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# Button to trigger recipe generation
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if st.button('Find Recipes'):
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# Use the generative model to get recipe information
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prompt = f"Generate 3 recipes that are available in {city}, for {course} and for {portion}."
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prompt += """The recipies dont necessarily have to belong to the cousine of the stated city,
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the ingredients just have to be easy to find there. Just give at least one local dish. Change currencies by city.
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Include ingredient quantities and their prices. The output should be in this example format:
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Recipes
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---------
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**Vegetable Yakisoba** - A flavorful lentil and vegetable soup with a hint of spice and sweetness.
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Ingredients:
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- 250g Yakisoba Noodles: $2.50
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- 1 small head Cabbage, shredded: $1.20
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- 2 large Carrots, julienned: $0.80
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- 1 Red Bell Pepper, sliced: $0.75
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- 1 Yellow Bell Pepper, sliced: $0.75
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- 1 large Onion, sliced: $0.70
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- 200g Mushrooms, sliced: $2.30
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- 1/2 cup Soy Sauce: $1.80
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- 2 tbsp Rice Vinegar: $1.50
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**Total Estimated Price:** $12.30
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Instructions:
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1. Pressure cook the soaked moong dal until soft.
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2. In a pan, heat ghee/oil and add cumin seeds. Once they splutter.
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---------
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.... and so on"""
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if diet:
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prompt += f"It should be suitable for a {diet} diet."
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if difficulty:
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prompt += f"It should have a cooking difficulty of {difficulty}."
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if spice:
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prompt += f"It should have a spice level of {spice}."
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if calorie:
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prompt += f"It should have a calorie level of {calorie}."
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if extra_requests:
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prompt += f"Additionally, {extra_requests}"
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response = chat.send_message(prompt)
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st.write(response.text)
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# background image
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st.image("minerva.png")
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