app.py

import gradio as gr
from langchain_groq import ChatGroq
from langchain.schema import SystemMessage, HumanMessage
import os

# Securely fetch API Key from environment variable
GROQ_API_KEY = os.getenv("GROQ_API_KEY")

if not GROQ_API_KEY:
    raise ValueError("⚠️ GROQ_API_KEY is missing! Set it in your environment variables.")

# Initialize the Groq Model
llm = ChatGroq(
    temperature=0,
    groq_api_key=GROQ_API_KEY,
    model_name="llama3-8b-8192"
)

def blog_generator(Blog_Topic, Blog_Keyword, Blog_Tone, Blog_Numberofwords, Blog_Target_audience):
    """Generate a blog using Groq AI"""
    system_prompt = f"""
    You are an expert blog writer. Follow these instructions:
    1. Write a blog on: {Blog_Topic}.
    2. Include keywords: {Blog_Keyword}.
    3. Use tone: {Blog_Tone}.
    4. Limit to {Blog_Numberofwords} words.
    5. Target audience: {Blog_Target_audience}.
    """

    user_prompt = f"Write a blog on {Blog_Topic}, with keywords {Blog_Keyword}, tone {Blog_Tone}, {Blog_Numberofwords} words, for audience {Blog_Target_audience}."

    response = llm.invoke([SystemMessage(content=system_prompt), HumanMessage(content=user_prompt)])
    return response.content

# Gradio Interface
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 📝 AI Blog Generator")

    with gr.Row():
        topic = gr.Textbox(label="Blog Topic", placeholder="Enter the topic of your blog...")
        keyword = gr.Textbox(label="Keywords (comma-separated)", placeholder="e.g., AI, Blogging, Technology")

    with gr.Row():
        tone = gr.Dropdown(["Formal", "Casual", "Professional"], label="Blog Tone", value="Professional")
        words = gr.Slider(100, 1000, step=50, label="Number of Words", value=500)

    audience = gr.Dropdown(["General Public", "Tech Enthusiasts", "Business Professionals", "Students"], label="Target Audience", value="General Public")

    generate_btn = gr.Button("Generate Blog", variant="primary")
    output = gr.Textbox(label="Generated Blog", lines=10, placeholder="Your generated blog will appear here...")

    generate_btn.click(blog_generator, inputs=[topic, keyword, tone, words, audience], outputs=output)

demo.launch()