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app.py

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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)

requirements.txt

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+pip
+wheel
+huggingface_hub
+sentence-transformers
+uvicorn
+ctransformers
+langchain
+python-box
+streamlit