Create app.py

app.py

@@ -0,0 +1,343 @@
+import streamlit as st
+from langchain import PromptTemplate, LLMChain
+from langchain.llms import OpenAI
+from transformers import pipeline, GPT2TokenizerFast
+from stability_sdk import client
+import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation
+import openai
+import torch
+from fpdf import FPDF
+from PIL import Image, ImageDraw, ImageFont
+import numpy as np
+import pandas as pd
+import json
+import datetime
+import os
+import re
+import requests
+import yaml
+from typing import List, Dict, Any
+import logging
+from tqdm import tqdm
+import arxiv
+import wikipedia
+from scholarly import scholarly
+import researcher
+from dotenv import load_dotenv
+import tiktoken
+import concurrent.futures
+from pathlib import Path
+
+# Load environment variables
+load_dotenv()
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+class BookMetadata:
+    def __init__(self, title: str, author: str, genre: str, isbn: str = None):
+        self.title = title
+        self.author = author
+        self.genre = genre
+        self.isbn = isbn or self._generate_isbn()
+        self.creation_date = datetime.datetime.now()
+        
+    def _generate_isbn(self) -> str:
+        """Generate a valid ISBN-13 number"""
+        # Implement ISBN generation logic
+        return f"978-{random.randint(1000000000, 9999999999)}"
+        
+    def to_dict(self) -> dict:
+        return {
+            "title": self.title,
+            "author": self.author,
+            "genre": self.genre,
+            "isbn": self.isbn,
+            "creation_date": self.creation_date.isoformat()
+        }
+
+class ResearchEngine:
+    def __init__(self):
+        self.arxiv_client = arxiv.Client()
+        self.wikipedia = wikipedia
+        self.scholarly = scholarly
+        
+    async def gather_research(self, topic: str, depth: int = 3) -> Dict[str, Any]:
+        """Gather research from multiple sources"""
+        research_data = {}
+        
+        # Gather academic papers
+        search = arxiv.Search(
+            query=topic,
+            max_results=depth,
+            sort_by=arxiv.SortCriterion.Relevance
+        )
+        
+        papers = await self.arxiv_client.results(search)
+        research_data["academic"] = [
+            {"title": paper.title, "summary": paper.summary}
+            for paper in papers
+        ]
+        
+        # Gather Wikipedia information
+        try:
+            wiki_content = self.wikipedia.summary(topic, sentences=depth*3)
+            research_data["wikipedia"] = wiki_content
+        except:
+            logger.warning(f"Could not fetch Wikipedia content for {topic}")
+            
+        return research_data
+
+class ContentGenerator:
+    def __init__(self, api_key: str):
+        self.openai = OpenAI(api_key=api_key)
+        self.tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
+        
+    def generate_chapter_outline(self, topic: str, research_data: Dict[str, Any]) -> List[str]:
+        """Generate detailed chapter outline based on research"""
+        prompt = self._create_outline_prompt(topic, research_data)
+        response = self.openai.complete(prompt)
+        return self._parse_outline(response)
+        
+    def generate_chapter_content(self, chapter_title: str, outline: str, style: str) -> str:
+        """Generate detailed chapter content"""
+        prompt = self._create_chapter_prompt(chapter_title, outline, style)
+        return self.openai.complete(prompt)
+        
+    def _create_outline_prompt(self, topic: str, research_data: Dict[str, Any]) -> str:
+        # Implement sophisticated prompt engineering
+        pass
+        
+    def _parse_outline(self, response: str) -> List[str]:
+        # Implement outline parsing logic
+        pass
+
+class BookFormatter:
+    def __init__(self, metadata: BookMetadata):
+        self.metadata = metadata
+        self.pdf = FPDF()
+        self.styles = self._load_styles()
+        
+    def _load_styles(self) -> dict:
+        """Load book styling configurations"""
+        with open("styles/book_styles.yaml", "r") as f:
+            return yaml.safe_load(f)
+            
+    def create_cover(self, prompt: str) -> Image:
+        """Create AI-generated book cover"""
+        stability_api = client.StabilityInference(
+            key=os.environ['STABILITY_KEY'],
+            engine="stable-diffusion-xl-1024-v1-0"
+        )
+        
+        answers = stability_api.generate(
+            prompt=prompt,
+            height=1024,
+            width=768,
+            samples=1,
+        )
+        
+        for resp in answers:
+            for artifact in resp.artifacts:
+                if artifact.finish_reason == generation.FILTER:
+                    logger.warning("Cover generation was filtered")
+                    continue
+                
+                if artifact.type == generation.ARTIFACT_IMAGE:
+                    img = Image.open(io.BytesIO(artifact.binary))
+                    return self._enhance_cover(img)
+                    
+    def _enhance_cover(self, cover_image: Image) -> Image:
+        """Add professional finishing touches to the cover"""
+        # Implement cover enhancement logic
+        pass
+        
+    def format_book(self, content: Dict[str, str]) -> None:
+        """Format the book content into a professional PDF"""
+        self._add_cover_page()
+        self._add_copyright_page()
+        self._add_table_of_contents(content)
+        self._add_chapters(content)
+        self._add_bibliography()
+        
+    def _add_table_of_contents(self, content: Dict[str, str]) -> None:
+        """Create detailed table of contents"""
+        pass
+        
+    def export_for_kindle(self) -> bytes:
+        """Export the book in Kindle format"""
+        # Implement Kindle export logic
+        pass
+        
+    def export_for_epub(self) -> bytes:
+        """Export the book in EPUB format"""
+        # Implement EPUB export logic
+        pass
+
+class AmazonKDPInterface:
+    def __init__(self, credentials: Dict[str, str]):
+        self.credentials = credentials
+        
+    def publish_book(self, book_file: bytes, metadata: BookMetadata) -> str:
+        """Publish book to Amazon KDP"""
+        # Implement Amazon KDP publishing logic
+        pass
+        
+    def update_pricing(self, isbn: str, price: float) -> None:
+        """Update book pricing"""
+        pass
+
+def main():
+    st.set_page_config(page_title="Professional Book Generator", layout="wide")
+    
+    # Apply custom CSS
+    st.markdown("""
+        <style>
+        .main {
+            background-color: #f5f5f5;
+        }
+        .stButton button {
+            background-color: #007bff;
+            color: white;
+            border-radius: 5px;
+            padding: 10px 20px;
+        }
+        </style>
+    """, unsafe_allow_html=True)
+    
+    st.title("Professional AI Book Generator")
+    
+    # Initialize session state
+    if 'book_metadata' not in st.session_state:
+        st.session_state.book_metadata = None
+    
+    # Sidebar for configuration
+    with st.sidebar:
+        st.header("Configuration")
+        api_key = st.text_input("OpenAI API Key", type="password")
+        stability_key = st.text_input("Stability API Key", type="password")
+        
+    # Main workflow
+    tabs = st.tabs(["Book Setup", "Content Generation", "Export & Publish"])
+    
+    with tabs[0]:
+        st.header("Book Setup")
+        col1, col2 = st.columns(2)
+        
+        with col1:
+            title = st.text_input("Book Title")
+            author = st.text_input("Author Name")
+            genre = st.selectbox("Genre", [
+                "Business & Leadership",
+                "Self-Help & Personal Development",
+                "Psychology & Social Sciences",
+                "History & Politics",
+                "Philosophy & Wisdom",
+                "Strategy & Power Dynamics"
+            ])
+            
+        with col2:
+            writing_style = st.selectbox("Writing Style", [
+                "Academic & Research-based",
+                "Narrative & Engaging",
+                "Professional & Authoritative",
+                "Philosophical & Thought-provoking"
+            ])
+            target_audience = st.selectbox("Target Audience", [
+                "Business Professionals",
+                "Academic Readers",
+                "General Adult Audience",
+                "Leaders & Executives"
+            ])
+            
+        if st.button("Initialize Book Project"):
+            st.session_state.book_metadata = BookMetadata(title, author, genre)
+            st.success("Book project initialized!")
+            
+    with tabs[1]:
+        if st.session_state.book_metadata:
+            st.header("Content Generation")
+            
+            research_depth = st.slider("Research Depth", 1, 5, 3)
+            
+            if st.button("Generate Content"):
+                with st.spinner("Researching and generating content..."):
+                    # Initialize components
+                    research_engine = ResearchEngine()
+                    content_generator = ContentGenerator(api_key)
+                    
+                    # Generate content
+                    research_data = research_engine.gather_research(
+                        st.session_state.book_metadata.title,
+                        research_depth
+                    )
+                    
+                    outline = content_generator.generate_chapter_outline(
+                        st.session_state.book_metadata.title,
+                        research_data
+                    )
+                    
+                    st.session_state.book_content = {}
+                    
+                    progress_bar = st.progress(0)
+                    for i, chapter in enumerate(outline):
+                        content = content_generator.generate_chapter_content(
+                            chapter,
+                            outline[i],
+                            writing_style
+                        )
+                        st.session_state.book_content[chapter] = content
+                        progress_bar.progress((i + 1) / len(outline))
+                        
+                    st.success("Content generation complete!")
+                    
+    with tabs[2]:
+        if st.session_state.book_metadata and hasattr(st.session_state, 'book_content'):
+            st.header("Export & Publish")
+            
+            formatter = BookFormatter(st.session_state.book_metadata)
+            
+            col1, col2 = st.columns(2)
+            
+            with col1:
+                if st.button("Generate PDF"):
+                    with st.spinner("Formatting PDF..."):
+                        formatter.format_book(st.session_state.book_content)
+                        st.download_button(
+                            "Download PDF",
+                            formatter.pdf.output(dest='S').encode('latin-1'),
+                            f"{st.session_state.book_metadata.title}.pdf",
+                            "application/pdf"
+                        )
+                        
+                if st.button("Generate EPUB"):
+                    with st.spinner("Formatting EPUB..."):
+                        epub_data = formatter.export_for_epub()
+                        st.download_button(
+                            "Download EPUB",
+                            epub_data,
+                            f"{st.session_state.book_metadata.title}.epub",
+                            "application/epub+zip"
+                        )
+                        
+            with col2:
+                if st.button("Publish to Amazon KDP"):
+                    with st.spinner("Publishing..."):
+                        kdp = AmazonKDPInterface({
+                            "access_key": st.secrets["amazon_access_key"],
+                            "secret_key": st.secrets["amazon_secret_key"]
+                        })
+                        
+                        publication_url = kdp.publish_book(
+                            formatter.export_for_kindle(),
+                            st.session_state.book_metadata
+                        )
+                        
+                        st.success(f"Published! View your book at {publication_url}")
+
+if __name__ == "__main__":
+    main()