Create app.py
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app.py
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# app.py
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import streamlit as st
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import requests
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from bs4 import BeautifulSoup
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import openai # Using Groq-compatible OpenAI SDK
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# Set your Groq API key and endpoint
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openai.api_key = "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" # Replace with your actual Groq API key
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openai.api_base = "https://api.groq.com/openai/v1"
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def extract_text_from_url(url):
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try:
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response = requests.get(url)
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soup = BeautifulSoup(response.text, 'html.parser')
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paragraphs = soup.find_all('p')
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text = ' '.join([p.get_text() for p in paragraphs])
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return text
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except Exception as e:
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return f"Error fetching {url}: {e}"
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def generate_blog(content, keywords):
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prompt = f"""
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You are a professional SEO blog writer.
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Based on the following combined content, generate a completely new, attractive, and SEO-optimized blog.
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Please naturally incorporate the following keywords: {', '.join(keywords)}.
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Content:
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{content}
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Write the new blog post:
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"""
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response = openai.ChatCompletion.create(
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model="llama3-70b-8192", # LLaMA 3 via Groq
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messages=[
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{"role": "system", "content": "You are an expert SEO content writer."},
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{"role": "user", "content": prompt}
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],
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temperature=0.7,
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max_tokens=1500
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)
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return response['choices'][0]['message']['content']
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def main():
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st.title("📝 Pro SEO Blog Writer")
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st.subheader("Enter three blog URLs:")
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url1 = st.text_input("Blog URL 1")
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url2 = st.text_input("Blog URL 2")
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url3 = st.text_input("Blog URL 3")
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st.subheader("Enter Target Keywords (comma separated):")
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keywords_input = st.text_input("Example: AI, machine learning, future technology")
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if st.button("Generate New Blog"):
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if url1 and url2 and url3 and keywords_input:
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with st.spinner("Extracting content and generating blog..."):
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content1 = extract_text_from_url(url1)
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content2 = extract_text_from_url(url2)
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content3 = extract_text_from_url(url3)
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combined_content = content1 + "\n\n" + content2 + "\n\n" + content3
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keywords = [kw.strip() for kw in keywords_input.split(",")]
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new_blog = generate_blog(combined_content, keywords)
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st.success("✅ Blog generated successfully!")
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st.subheader("Generated Blog:")
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st.write(new_blog)
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st.download_button("Download Blog as TXT", data=new_blog, file_name="seo_blog.txt")
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else:
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st.warning("Please fill in all fields.")
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if __name__ == "__main__":
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main()
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