app.py

import streamlit as st
from langchain.prompts import PromptTemplate
import os
from dotenv import load_dotenv
import google.generativeai as genai

load_dotenv()

# Configure API
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

def get_gemini_response(input_text, no_words, blog_style):
    model = genai.GenerativeModel("gemini-pro")

    # Prompt Template
    template = """
        Write a blog in {blog_style} style for the job profile. The topic is '{input_text}'.
        The blog should be within {no_words} words.
    """
    
    prompt = PromptTemplate(input_variables=["blog_style", "input_text", "no_words"],
                            template=template)

    # Generate prompt string
    prompt_text = prompt.format(blog_style=blog_style, input_text=input_text, no_words=no_words)

    # Generate response
    response = model.generate_content(prompt_text)
    
    return response.text

st.set_page_config(page_title="Generate Blogs",
                    layout='centered',
                    initial_sidebar_state='collapsed')

#st.header("Generate Blogs 🤖")
# App name
st.markdown("<h4 style='text-align: center;'>Blog Generator</h4>", unsafe_allow_html=True)


input_text = st.text_input("Enter the Blog Topic")

# Creating two more columns for additional fields
col1, col2 = st.columns([5, 5])

with col1:
    no_words = st.text_input('No of Words')
with col2:
    blog_style = st.selectbox('Writing the blog for',
                              ('Researchers', 'Data Scientist', 'Students'), index=0)
    
submit = st.button("Generate")

# Final response
if submit:
    if input_text and no_words and blog_style:
        response = get_gemini_response(input_text, no_words, blog_style)
        st.write(response)
    else:
        st.warning("Please fill in all fields.")