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import streamlit as st
import openai
# 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
response = openai.Completion.create(
engine="gpt-4",
prompt=f"Generate a {diagram_type} diagram in Mermaid.js syntax based on the following prompt: {prompt}",
max_tokens=500
)
return response.choices[0].text.strip()
except Exception as e:
st.error(f"Error: {e}")
return None
# Streamlit App UI
def main():
st.title("Generate Diagrams using GPT-4 and Mermaid.js")
# 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)
if st.button("Generate Diagram"):
if prompt:
diagram_code = get_diagram_code(prompt, diagram_choice, api_key)
if diagram_code:
# Render Mermaid code to Streamlit
st.code(diagram_code, language='mermaid')
# Display Mermaid diagram using iframe (mermaid.live)
diagram_url = f"https://mermaid-js.github.io/mermaid-live-editor/#/edit/{diagram_code}"
st.markdown(f'<iframe src="{diagram_url}" width="800" height="600"></iframe>', unsafe_allow_html=True)
else:
st.error("Failed to generate diagram code.")
else:
st.error("Please enter a prompt.")
if __name__ == "__main__":
main()
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