from langchain.chains import LLMChain
from langchain.llms import HuggingFaceHub
from langchain.prompts import PromptTemplate
import streamlit as st
import json

# Load existing ideas from a file
def load_ideas():
    try:
        with open("ideas.json", "r") as file:
            ideas = json.load(file)
    except FileNotFoundError:
        ideas = []
    return ideas

# Save ideas to a file
def save_ideas(ideas):
    with open("ideas.json", "w") as file:
        json.dump(ideas, file)

# Function to generate content
def generate_content(topic):
    hub_llm = HuggingFaceHub(repo_id="HuggingFaceH4/zephyr-7b-beta")
    prompt = PromptTemplate(
        input_variables=['keyword'],
        template="""
        Write a comprehensive article about {keyword} covering the following aspects:
        Introduction, History and Background, Key Concepts and Terminology, Use Cases and Applications, Benefits and Drawbacks, Future Outlook, Conclusion
        Ensure that the article is well-structured, informative, and at least 1500 words long. Use SEO best practices for content optimization.
        """
    )
    hub_chain = LLMChain(prompt=prompt, llm=hub_llm, verbose=True)
    content = hub_chain.run(topic)

    subheadings = [
        "Introduction",
        "History and Background",
        "Key Concepts and Terminology",
        "Use Cases and Applications",
        "Benefits and Drawbacks",
        "Future Outlook",
        "Conclusion",
    ]

    for subheading in subheadings:
        if (subheading + ":") in content:
            content = content.replace(subheading + ":", "## " + subheading + "\n")
        elif subheading in content:
            content = content.replace(subheading, "## " + subheading + "\n")

    return content

# Streamlit app
st.title("Blog Generator")

# Input and button
topic = st.text_input("Enter Title for the blog")
button_clicked = st.button("Create blog!")

# Load existing ideas
existing_ideas = load_ideas()
st.sidebar.header("Previous Ideas:")

# Display existing ideas in the sidebar
keys = list(set([key for idea in existing_ideas for key in idea.keys()]))
selected_idea = st.sidebar.selectbox("Select Idea", keys, key="selectbox", index=0)

# Display content for the selected idea
selected_idea_from_list = next((idea for idea in existing_ideas if selected_idea in idea), None)
st.markdown(selected_idea_from_list[selected_idea])

# Handle button click
if button_clicked:
    # Generate content and update existing ideas
    content = generate_content(topic)
    existing_ideas.append({topic: content})
    save_ideas(existing_ideas)

    # Update keys and selected idea in the sidebar
    keys = list(set([key for idea in existing_ideas for key in idea.keys()]))
    selected_idea = st.sidebar.selectbox("Select Idea", keys, key="selectbox", index=keys.index(topic))

    # Update selected idea content
    selected_idea_from_list = next((idea for idea in existing_ideas if selected_idea in idea), None)
    st.markdown(selected_idea_from_list[selected_idea])