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| import streamlit as st | |
| from langchain.prompts import PromptTemplate | |
| from langchain.llms import CTransformers | |
| import os | |
| from huggingface_hub import hf_hub_download | |
| # Function to download the LLaMA model | |
| def download_model(): | |
| model_path = "models/llama-2-7b-chat.ggmlv3.q8_0.bin" | |
| if not os.path.exists(model_path): | |
| model_path = hf_hub_download(repo_id="TheBloke/Llama-2-7B-Chat-GGML", | |
| filename="llama-2-7b-chat.ggmlv3.q8_0.bin", | |
| local_dir="models") | |
| return model_path | |
| # Function to get LLaMA response | |
| def getLLamaresponse(input_text, no_words, blog_style): | |
| model_path = download_model() | |
| llm = CTransformers(model=model_path, | |
| model_type='llama', | |
| config={'max_new_tokens': 256, 'temperature': 0.01}) | |
| # Blog prompt template | |
| template = """ | |
| Write a blog for {blog_style} job profile for a topic {input_text} | |
| within {no_words} words. | |
| """ | |
| prompt = PromptTemplate(input_variables=["blog_style", "input_text", "no_words"], | |
| template=template) | |
| # Generate response | |
| response = llm(prompt.format(blog_style=blog_style, input_text=input_text, no_words=no_words)) | |
| return response | |
| # --------------- Streamlit UI Design ---------------- | |
| st.set_page_config(page_title="AI Blog Generator", page_icon="📝", layout="centered") | |
| # Custom CSS for a clean UI | |
| st.markdown(""" | |
| <style> | |
| .main {background-color: #f4f4f4;} | |
| .stTextInput, .stSelectbox, .stNumberInput {width: 100%;} | |
| .stButton>button {width: 100%; background-color: #4CAF50; color: white; padding: 10px 20px; font-size: 18px; border-radius: 8px;} | |
| .stButton>button:hover {background-color: #45a049;} | |
| </style> | |
| """, unsafe_allow_html=True) | |
| # Page Title | |
| st.markdown("<h1 style='text-align: center; color: #333;'>🚀 AI Blog Generator</h1>", unsafe_allow_html=True) | |
| st.markdown("<h3 style='text-align: center; color: #666;'>Generate high-quality blogs instantly with LLaMA 2</h3>", | |
| unsafe_allow_html=True) | |
| st.write("---") | |
| # Sidebar | |
| with st.sidebar: | |
| st.markdown("## 🔥 About This App") | |
| st.write("This AI-powered app generates professional blogs using **LLaMA 2** from Meta.") | |
| st.markdown("#### ✨ Features") | |
| st.write("- Generates **high-quality** blog content.") | |
| st.write("- **Custom word count** & writing style.") | |
| st.write("- **Powered by LLaMA 2 (7B)** model.") | |
| st.write("---") | |
| st.write("🔗 [Hugging Face Model](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML)") | |
| # Input Fields | |
| st.markdown("### ✍️ Enter Blog Details") | |
| input_text = st.text_input("📌 Blog Topic", placeholder="e.g. Future of AI in Healthcare") | |
| col1, col2 = st.columns([5, 5]) | |
| with col1: | |
| no_words = st.number_input('📏 Word Count', min_value=50, max_value=1000, value=300, step=50) | |
| with col2: | |
| blog_style = st.selectbox("✒️ Target Audience", ("Researchers", "Data Scientist", "Common People"), index=0) | |
| # Generate Button | |
| submit = st.button("🚀 Generate Blog") | |
| if submit: | |
| if not input_text: | |
| st.error("⚠️ Please enter a blog topic.") | |
| else: | |
| with st.spinner("⏳ Generating your blog..."): | |
| blog_content = getLLamaresponse(input_text, no_words, blog_style) | |
| st.success("✅ Blog Generated Successfully!") | |
| # Display the blog | |
| st.markdown("### 📝 Your AI-Generated Blog") | |
| st.write(blog_content) | |