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import streamlit as st | |
import openai | |
import urllib.parse | |
import io | |
from PIL import Image | |
import time # Used for simulating progress updates | |
# Function to call OpenAI GPT model for prompt processing | |
def get_diagram_code(prompt, diagram_type, api_key): | |
try: | |
# Set the OpenAI API key dynamically based on user input | |
openai.api_key = api_key | |
# For GPT-4 and other chat models, use the v1/chat/completions endpoint | |
response = openai.ChatCompletion.create( | |
model="gpt-4o", # Make sure you're using the right model | |
messages=[ | |
{"role": "system", "content": "You are a helpful assistant."}, | |
{"role": "user", "content": f"Generate a {diagram_type} diagram in Mermaid.js syntax based on the following prompt: {prompt}"} | |
], | |
max_tokens=2048 | |
) | |
return response['choices'][0]['message']['content'].strip() | |
except Exception as e: | |
st.error(f"Error: {e}") | |
return None | |
# Adding custom CSS | |
def custom_css(): | |
st.markdown(""" | |
<style> | |
body { | |
background-color: #f0f4f8; | |
font-family: 'Roboto', sans-serif; | |
} | |
.stButton>button { | |
background-color: #4CAF50; | |
color: white; | |
font-size: 18px; | |
padding: 12px 24px; | |
border-radius: 8px; | |
transition: background-color 0.3s ease; | |
} | |
.stButton>button:hover { | |
background-color: #f1c232; | |
} | |
.stTextInput, .stTextArea { | |
background-color: #fff; | |
border: 2px solid #ddd; | |
border-radius: 8px; | |
padding: 12px; | |
font-size: 16px; | |
transition: border 0.3s ease; | |
} | |
.stTextInput:focus, .stTextArea:focus { | |
border-color: #4CAF50; | |
} | |
.stImage { | |
margin-bottom: 20px; | |
border-radius: 10px; | |
} | |
h1 { | |
color: #333; | |
text-align: center; | |
font-size: 36px; | |
} | |
.expandable-section { | |
margin-top: 20px; | |
} | |
iframe { | |
border: 0; | |
border-radius: 10px; | |
} | |
.loading-spinner { | |
display: none; | |
animation: spin 2s infinite linear; | |
border: 6px solid #f3f3f3; | |
border-top: 6px solid #3498db; | |
border-radius: 50%; | |
width: 50px; | |
height: 50px; | |
margin: 0 auto; | |
} | |
@keyframes spin { | |
0% { transform: rotate(0deg); } | |
100% { transform: rotate(360deg); } | |
} | |
</style> | |
""", unsafe_allow_html=True) | |
# Add anime.js CDN and custom JS for animations | |
def anime_js(): | |
st.markdown(""" | |
<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/anime.min.js"></script> | |
<script> | |
document.addEventListener('DOMContentLoaded', function() { | |
// Example animation for the button when clicked | |
const button = document.querySelector('.stButton>button'); | |
if (button) { | |
button.addEventListener('mouseover', function() { | |
anime({ | |
targets: button, | |
scale: [1, 1.1], | |
duration: 300, | |
easing: 'easeInOutQuad' | |
}); | |
}); | |
button.addEventListener('mouseout', function() { | |
anime({ | |
targets: button, | |
scale: [1.1, 1], | |
duration: 300, | |
easing: 'easeInOutQuad' | |
}); | |
}); | |
} | |
// Example animation for diagram generation code | |
const diagramCode = document.querySelector('pre code'); | |
if (diagramCode) { | |
anime({ | |
targets: diagramCode, | |
opacity: [0, 1], | |
translateY: [-50, 0], | |
duration: 1000, | |
easing: 'easeOutExpo' | |
}); | |
} | |
}); | |
</script> | |
""", unsafe_allow_html=True) | |
# Streamlit App UI | |
def main(): | |
custom_css() # Apply custom CSS | |
anime_js() # Add anime.js functionality | |
st.title("Generate Diagrams using AI and MermaidFlow") | |
# Display a logo or icon with subtle animation | |
image = Image.open("11.png") # Path to your image file | |
st.image(image, width=300) | |
# Display sample prompt | |
with st.expander("Sample Prompt For Users"): | |
st.markdown(""" | |
Create a UML diagram for a **Library Management System** that includes classes such as **Book** (with attributes like `bookID`, `title`, `author`, `publisher`, `genre`, `availabilityStatus` and methods like `checkAvailability()`, `updateAvailability()`), **Member** (with attributes such as `memberID`, `name`, `email`, `phoneNumber`, `membershipDate` and methods like `borrowBook()`, `returnBook()`, `reserveBook()`), **Staff** (with attributes such as `staffID`, `name`, `role`, `email`, `phoneNumber` and methods like `addBook()`, `removeBook()`, `updateBookInfo()`), **Transaction** (with attributes like `transactionID`, `transactionDate`, `dueDate`, `fineAmount` and methods like `calculateFine()`, `generateReceipt()`), and **Reservation** (with attributes like `reservationID`, `reservationDate`, `expirationDate` and methods like `cancelReservation()`, `checkReservationStatus()`). Define the relationships where a **Member** can borrow many **Books**, a **Staff** can manage many **Books**, a **Transaction** is linked to one **Book** and one **Member**, and a **Reservation** is made by a **Member** for a **Book**. Ensure appropriate visibility markers for methods and attributes, and include necessary relationships such as associations, multiplicities, and inheritance. Optionally, consider adding sequence or activity diagrams for processes like book borrowing. | |
""") | |
# User input for OpenAI API key | |
api_key = st.text_input("Enter your OpenAI API Key:", type="password") | |
# Check if API key is provided | |
if not api_key: | |
st.warning("Please enter your OpenAI API Key to continue.") | |
return | |
# User prompt for diagram type | |
prompt = st.text_area("Enter your prompt for the diagram:", "") | |
diagram_types = ["UML Diagram", "ER Diagram", "State Diagram", "Class Diagram", "Sequence Diagram"] | |
diagram_choice = st.selectbox("Select the type of diagram to generate:", diagram_types) | |
# Create a progress bar | |
progress_bar = st.progress(0) | |
# Instruction Expander with step-by-step guide | |
with st.expander("Instruction to Generate Diagram"): | |
st.markdown(""" | |
**Copy and paste the Generated Mermaid Code** in the Live Editor and download the generated diagram by clicking on **Export as SVG** format to get a high-resolution generated image. | |
""") | |
if st.button("Generate Diagram"): | |
if prompt: | |
# Simulate the progress | |
for i in range(100): | |
progress_bar.progress(i + 1) | |
time.sleep(0.05) # Simulate processing time for loading bar | |
diagram_code = get_diagram_code(prompt, diagram_choice, api_key) | |
if diagram_code: | |
# Hide the progress bar once the diagram is generated | |
progress_bar.empty() | |
# Render Mermaid code to Streamlit with animation | |
st.code(diagram_code, language='mermaid') | |
# Encode the Mermaid code for use in the MermaidFlow editor URL | |
encoded_code = urllib.parse.quote(diagram_code) # URL encode the Mermaid code | |
# MermaidFlow Editor URL with the encoded Mermaid code | |
mermaidflow_url = f"https://www.mermaidflow.app/editor?code={encoded_code}" | |
# Embed MermaidFlow Editor in iframe | |
st.markdown(f'<iframe src="{mermaidflow_url}" width="100%" height="600px"></iframe>', unsafe_allow_html=True) | |
else: | |
st.error("Failed to generate diagram code.") | |
else: | |
st.error("Please enter a prompt.") | |
if __name__ == "__main__": | |
main() | |