app.py

import streamlit as st
from fpdf import FPDF
import base64
import openai
from streamlit_quill import st_quill
import os

os.environ["OPENAI_API_KEY"] = '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'
openai.api_key = os.getenv("OPENAI_API_KEY")

def get_chatgpt_response(messages):
   response = openai.ChatCompletion.create(
   model="gpt-3.5-turbo",
   messages=messages
 )
   return  response['choices'][0]['message']['content']

def process_text(inputs):
    # Perform some processing on the input dictionary here
    # For example, you could concatenate all the inputs into a single string
    processed_text = ""
    for key, value in inputs.items():
        processed_text += f"{key}: {value}\n\n"

    info= str(processed_text)

    messages=[
      {"role": "system", "content": "You are a obituary writer given information in the from of json"},
      {"role": "user", "content": "Please write custom obituary based on this information. Make sure you write little long obituary using the information provided. Here is information: \n{}".format(info)}
  ]

    model_response = get_chatgpt_response(messages)

    return model_response

# def save_as_pdf(text):
#     pdf = FPDF()
#     pdf.add_page()
#     pdf.set_font("Arial", size=12)
#     encoded_text = text.encode('latin-1', 'replace').decode('latin-1')
#     pdf.multi_cell(0, 10, txt=encoded_text)
#     file_name = "output.pdf"
#     pdf.output(file_name)
#     with open(file_name, "rb") as pdf_file:
#         b64 = base64.b64encode(pdf_file.read()).decode('utf-8')
#     href = f'<a href="data:application/octet-stream;base64,{b64}" download="{file_name}">Download PDF</a>'
#     st.markdown(href, unsafe_allow_html=True)



import base64
from io import BytesIO
from weasyprint import HTML
from streamlit_quill import Delta, Renderer

def save_as_pdf(text):
    # convert quill editor Delta object to HTML and render with Renderer
    delta = Delta(text)
    html = Renderer().render(delta)

    # convert HTML to PDF
    pdf_file = BytesIO()
    HTML(string=html).write_pdf(pdf_file)

    # encode the PDF to base64
    b64 = base64.b64encode(pdf_file.getvalue()).decode('utf-8')

    # generate a download link for the PDF
    href = f'<a href="data:application/octet-stream;base64,{b64}" download="output.pdf">Download PDF</a>'
    st.markdown(href, unsafe_allow_html=True)



def form_page():

    st.markdown("### Your custom obituary writer :pencil:")
    st.markdown("### Please fill the details to get custom obituary")

    inputs = {
        "Full name, including any nicknames": "",
        "Age at the time of passing": "",
        "Date and place of birth": "",
        "Date and place of passing": "",
        "Family members who have preceded them in death": "",
        "Surviving family members": "",
        "Education, career, hobbies and interests": "",
        "Accomplishments or contributions they made to their community or society": "",
        "Personal traits that made them special": "",
        "Service or memorial arrangements": "",
        "Any personal message or special requests you would like to include": "",
        "Additional information, like childhood or special bond": "",
    }

    for key in inputs:
        inputs[key] = st.text_input(key)

    if st.button("Process"):
        output_text = process_text(inputs)
        st.session_state.output_text = output_text
        st.write(output_text)
        st.session_state.form = True

    if st.session_state.form:
        if st.button("I want to add more information"):
            additional_info = st.text_input("What else would you like to add?")
            if additional_info:
                message = f"{additional_info}"
                output_text = get_chatgpt_response(message)
                st.session_state.output_text += "\n" + output_text
                st.write(st.session_state.output_text)

        if st.button("I want to export and edit manually"):
            st.session_state.export_manually = True
            st.session_state.form = False
            st.experimental_rerun()

# def editor_page():
#     st.write("Use the editor below to edit the obituary:")
#     quill_text = st.session_state.output_text
#     edited_text = st_quill(quill_text)
#     st.write("Here is the edited obituary:")
#     st.write(edited_text)

def editor_page():
    #st.markdown("### Editor :smile:")
    st.markdown("<h1 style='text-align: center; color: Red;'>Editor</h1>", unsafe_allow_html=True)

    st.write("Use the editor below to edit the obituary:")


    quill_text = st.session_state.output_text
    edited_text = st_quill(quill_text)
    

    st.write("Here is the edited obituary:")
    #st.write(edited_text)

    st.session_state.edited_text= edited_text

    if st.button("Save as PDF"):
            # Save the output text as a PDF
        #save_as_pdf(st.session_state.output_text)
        save_as_pdf(st.session_state.edited_text)
        st.write("The custom obituary has been saved as a PDF.")

    # Add some custom CSS to style the editor
    st.markdown("""
        <style>
            #toolbar {
                background-color: #f3f3f3;
                border-radius: 5px;
                padding: 5px;
            }
            .ql-container {
                border-radius: 5px;
                border: 1px solid #ccc;
                height: 400px;
            }
            .ql-editor {
                height: 100%;
            }
        </style>
    """, unsafe_allow_html=True)

    


PAGES = {
    "Form Page": form_page,
    "Editor Page": editor_page,
}

def app():
    if "form" not in st.session_state:
        st.session_state.form = False
    if "export_manually" not in st.session_state:
        st.session_state.export_manually = False

    if not st.session_state.export_manually:
        st.sidebar.radio("",["form"])
        form_page()
    else:
        st.sidebar.radio("",["Editor"])
        editor_page()

if __name__ == "__main__":
    app()