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Changes and Additions to GPT-4o - Added Streamlit ChatBot
The new interaction between streamlit chatbot and the gpt4o model now allow you to repeat query the multimodal model using session state for memory as well as markdown save point files which can be edited downloaded and delted later. Below is a simple example using it to generate code:
List top ten ways in which ai will augment our private lives and enterrtainment
Create example short (less than 10 line) streamlit python apps to perform each of the challenges below: Personalized Recommendations: AI can analyze user preferences and behavior to provide tailored entertainment recommendations, such as movies, TV shows, music, and books. Interactive Gaming: AI can create more immersive and dynamic gaming experiences by adapting to player behavior, creating personalized challenges, and providing real-time feedback. Virtual Assistants: AI-powered virtual assistants can help manage daily tasks, such as scheduling appointments, setting reminders, and controlling smart home devices. Augmented Reality: AI can enhance AR experiences by providing more realistic and interactive virtual objects, environments, and characters. Personalized Fitness and Wellness: AI can analyze user data to provide personalized fitness and wellness recommendations, such as workout plans, nutrition advice, and stress management techniques. Smart Home Automation: AI can automate home appliances and systems, such as lighting, heating, and security, to create a more comfortable and energy-efficient living environment. Personalized Learning: AI can provide personalized learning experiences by adapting to individual learning styles, strengths, and weaknesses. Social Media: AI can analyze user behavior and preferences to provide more relevant and engaging social media experiences, such as personalized content recommendations and friend suggestions. Virtual Reality: AI can enhance VR experiences by providing more realistic and interactive virtual environments, characters, and objects. Emotional Intelligence: AI can analyze user emotions and behavior to provide more empathetic and personalized entertainment experiences, such as movies, TV shows, and music that match the user's current mood. Show full python source code for each one.
Certainly! Below are example Streamlit apps for each of the challenges mentioned. Each is less than 10 lines of code.
Personalized Recommendations
import streamlit as st
st.title("Personalized Recommendations")
user_genre = st.selectbox("Choose your favorite genre", ["Action", "Drama", "Comedy", "Sci-Fi"])
recommendations = {"Action": ["Die Hard", "Mad Max"], "Drama": ["The Shawshank Redemption", "Forrest Gump"],
"Comedy": ["Superbad", "Step Brothers"], "Sci-Fi": ["Inception", "Interstellar"]}
st.write("Recommended for you:", recommendations.get(user_genre, []))
Interactive Gaming
import streamlit as st
st.title("Interactive Gaming Experience")
difficulty = st.slider("Choose difficulty level", 1, 10)
score = st.number_input("Enter your current score", 0, 100)
challenge = f"Defeat {difficulty * score} enemies"
st.write("Your personalized challenge:", challenge)
Virtual Assistants
import streamlit as st
st.title("AI-Powered Virtual Assistant")
task = st.selectbox("Select a task", ["Schedule Appointment", "Set Reminder", "Control Smart Home"])
if task == "Schedule Appointment":
st.write("Appointment scheduled for tomorrow at 10 AM.")
elif task == "Set Reminder":
st.write("Reminder set for 7 PM today.")
else:
st.write("Smart home light turned off.")
Augmented Reality
import streamlit as st
st.title("AI-Augmented Reality")
object_type = st.selectbox("Choose an object", ["3D Character", "Virtual Pet", "AR Game"])
st.write(f"Loading your {object_type}... (this would start an AR session in a real app)")
Personalized Fitness and Wellness
import streamlit as st
st.title("Personalized Fitness and Wellness")
goal = st.radio("Select your goal", ["Lose Weight", "Gain Muscle", "Maintain Fitness"])
plan = {"Lose Weight": "Cardio and diet", "Gain Muscle": "Strength training", "Maintain Fitness": "Balanced routine"}
st.write("Your personalized plan:", plan[goal])
Smart Home Automation
import streamlit as st
st.title("Smart Home Automation")
device = st.selectbox("Select device to control", ["Lights", "Thermostat", "Security"])
action = st.selectbox("Choose action", ["Turn on", "Turn off", "Set"])
st.write(f"{device} will {action.lower()} now.")
Personalized Learning
import streamlit as st
st.title("Personalized Learning")
subject = st.selectbox("Choose a subject", ["Math", "Science", "History"])
level = st.slider("Select difficulty level", 1, 5)
recommendation = f"Study {subject} at level {level}"
st.write("Your learning recommendation:", recommendation)
Social Media
import streamlit as st
st.title("Personalized Social Media")
interest = st.selectbox("Select your interest", ["Tech", "Sports", "Music", "Fashion"])
content = {"Tech": "Latest in AI", "Sports": "Top NFL Highlights", "Music": "New pop hits", "Fashion": "Fall trends"}
st.write("Recommended for you:", content[interest])
Virtual Reality
import streamlit as st
st.title("Enhanced VR Experience")
experience = st.selectbox("Choose your experience", ["Adventure", "Sci-Fi", "Horror"])
st.write(f"Starting your {experience} VR experience... (this would start a VR session in a real app)")
Emotional Intelligence
import streamlit as st
st.title("Emotion-Based Recommendations")
mood = st.selectbox("Select your current mood", ["Happy", "Sad", "Excited", "Calm"])
options = {"Happy": ["Comedy", "Feel-good"], "Sad": ["Drama", "Inspirational"], "Excited": ["Action", "Adventure"], "Calm": ["Classical Music", "Nature"]}
st.write("Suggestions for you:", options[mood])
These simple Streamlit apps demonstrate how you can use Streamlit to create various AI-powered experiences in less than 10 lines of code. You can expand each app with more detailed models and data as needed.
GPT-4o Multimodal ChatBot - What can I help you with?
Improve them by combining into single code listing and showing full code listing for app.py and requirements.txt
Assistant: Certainly! Here is a combined code listing for app.py that includes all the previous functionalities in a single, cohesive Streamlit app. Also included is a requirements.txt file.
app.py
import streamlit as st
st.title("AI-Powered Services")
# Sidebar navigation
option = st.sidebar.selectbox("Choose a service",
["Personalized Recommendations", "Interactive Gaming", "Virtual Assistant",
"Augmented Reality", "Personalized Fitness and Wellness", "Smart Home Automation",
"Personalized Learning", "Social Media", "Virtual Reality", "Emotional Intelligence"]
)
if option == "Personalized Recommendations":
st.header("Personalized Recommendations")
user_genre = st.selectbox("Choose your favorite genre", ["Action", "Drama", "Comedy", "Sci-Fi"])
recommendations = {"Action": ["Die Hard", "Mad Max"], "Drama": ["The Shawshank Redemption", "Forrest Gump"],
"Comedy": ["Superbad", "Step Brothers"], "Sci-Fi": ["Inception", "Interstellar"]}
st.write("Recommended for you:", recommendations.get(user_genre, []))
elif option == "Interactive Gaming":
st.header("Interactive Gaming Experience")
difficulty = st.slider("Choose difficulty level", 1, 10)
score = st.number_input("Enter your current score", 0, 100)
challenge = f"Defeat {difficulty * score} enemies"
st.write("Your personalized challenge:", challenge)
elif option == "Virtual Assistant":
st.header("AI-Powered Virtual Assistant")
task = st.selectbox("Select a task", ["Schedule Appointment", "Set Reminder", "Control Smart Home"])
if task == "Schedule Appointment":
st.write("Appointment scheduled for tomorrow at 10 AM.")
elif task == "Set Reminder":
st.write("Reminder set for 7 PM today.")
else:
st.write("Smart home light turned off.")
elif option == "Augmented Reality":
st.header("AI-Augmented Reality")
object_type = st.selectbox("Choose an object", ["3D Character", "Virtual Pet", "AR Game"])
st.write(f"Loading your {object_type}... (this would start an AR session in a real app)")
elif option == "Personalized Fitness and Wellness":
st.header("Personalized Fitness and Wellness")
goal = st.radio("Select your goal", ["Lose Weight", "Gain Muscle", "Maintain Fitness"])
plan = {"Lose Weight": "Cardio and diet", "Gain Muscle": "Strength training", "Maintain Fitness": "Balanced routine"}
st.write("Your personalized plan:", plan[goal])
elif option == "Smart Home Automation":
st.header("Smart Home Automation")
device = st.selectbox("Select device to control", ["Lights", "Thermostat", "Security"])
action = st.selectbox("Choose action", ["Turn on", "Turn off", "Set"])
st.write(f"{device} will {action.lower()} now.")
elif option == "Personalized Learning":
st.header("Personalized Learning")
subject = st.selectbox("Choose a subject", ["Math", "Science", "History"])
level = st.slider("Select difficulty level", 1, 5)
recommendation = f"Study {subject} at level {level}"
st.write("Your learning recommendation:", recommendation)
elif option == "Social Media":
st.header("Personalized Social Media")
interest = st.selectbox("Select your interest", ["Tech", "Sports", "Music", "Fashion"])
content = {"Tech": "Latest in AI", "Sports": "Top NFL Highlights", "Music": "New pop hits", "Fashion": "Fall trends"}
st.write("Recommended for you:", content[interest])
elif option == "Virtual Reality":
st.header("Enhanced VR Experience")
experience = st.selectbox("Choose your experience", ["Adventure", "Sci-Fi", "Horror"])
st.write(f"Starting your {experience} VR experience... (this would start a VR session in a real app)")
elif option == "Emotional Intelligence":
st.header("Emotion-Based Recommendations")
mood = st.selectbox("Select your current mood", ["Happy", "Sad", "Excited", "Calm"])
options = {"Happy": ["Comedy", "Feel-good"], "Sad": ["Drama", "Inspirational"], "Excited": ["Action", "Adventure"], "Calm": ["Classical Music", "Nature"]}
st.write("Suggestions for you:", options[mood])
requirements.txt
streamlit==1.23.0
To run the app, you need to install Streamlit by executing:
pip install -r requirements.txt
Then, you can start the Streamlit app with:
streamlit run app.py
This setup combines all the functionalities into a single app with a sidebar for easy navigation between different services.