AI Outline Writer - Added image generation and display for sections
This commit is contained in:
ajaysi
@@ -10,6 +10,7 @@ from typing import Dict, List, Optional
|
|||||||
from enum import Enum
|
from enum import Enum
|
||||||
from dataclasses import dataclass
|
from dataclasses import dataclass
|
||||||
from loguru import logger
|
from loguru import logger
|
||||||
|
import json
|
||||||
|
|
||||||
from lib.gpt_providers.text_generation.main_text_generation import llm_text_gen
|
from lib.gpt_providers.text_generation.main_text_generation import llm_text_gen
|
||||||
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
|
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
|
||||||
@@ -84,216 +85,196 @@ class BlogOutlineGenerator:
|
|||||||
self.outline = {}
|
self.outline = {}
|
||||||
self.section_contents = {}
|
self.section_contents = {}
|
||||||
|
|
||||||
async def generate_outline(self, topic: str) -> Dict:
|
def generate_outline(self, topic: str) -> Dict[str, List[str]]:
|
||||||
"""Generate a comprehensive outline based on the topic and configuration."""
|
"""Generate a blog outline based on the topic and configuration."""
|
||||||
try:
|
try:
|
||||||
# Step 1: Generate main sections
|
# Create a focused prompt for outline generation
|
||||||
main_sections = await self._generate_main_sections(topic)
|
prompt = f"""Generate a blog outline for topic: {topic}
|
||||||
|
|
||||||
|
Content Type: {self.config.content_type.value}
|
||||||
|
Target Audience: {self.config.target_audience}
|
||||||
|
Content Depth: {self.config.content_depth.value}
|
||||||
|
Style: {self.config.outline_style.value}
|
||||||
|
Word Count Target: {self.config.target_word_count}
|
||||||
|
Main Sections: {self.config.num_main_sections}
|
||||||
|
Subsections per Section: {self.config.num_subsections_per_section}
|
||||||
|
|
||||||
|
Requirements:
|
||||||
|
- Create exactly {self.config.num_main_sections} main sections
|
||||||
|
- Each section should have exactly {self.config.num_subsections_per_section} subsections
|
||||||
|
- Focus on {self.config.content_type.value} content style
|
||||||
|
- Target {self.config.target_audience} audience
|
||||||
|
- Maintain {self.config.content_depth.value} depth
|
||||||
|
- Follow {self.config.outline_style.value} style
|
||||||
|
- Optimize for {self.config.target_word_count} words total
|
||||||
|
|
||||||
|
IMPORTANT: You must return a valid JSON object with main sections as keys and lists of subsections as values.
|
||||||
|
Example format: {{"Section 1": ["Subsection 1.1", "Subsection 1.2"], "Section 2": ["Subsection 2.1", "Subsection 2.2"]}}
|
||||||
|
Do not include any additional text or explanations, only the JSON object."""
|
||||||
|
|
||||||
|
# Get outline from LLM
|
||||||
|
outline_json = llm_text_gen(prompt)
|
||||||
|
|
||||||
# Step 2: Generate subsections for each main section
|
# Clean the response to ensure it's valid JSON
|
||||||
detailed_sections = await self._generate_subsections(main_sections)
|
outline_json = outline_json.strip()
|
||||||
|
if not outline_json.startswith('{'):
|
||||||
|
outline_json = outline_json[outline_json.find('{'):]
|
||||||
|
if not outline_json.endswith('}'):
|
||||||
|
outline_json = outline_json[:outline_json.rfind('}')+1]
|
||||||
|
|
||||||
# Step 3: Add introduction and conclusion if requested
|
# Parse the outline
|
||||||
|
try:
|
||||||
|
outline = json.loads(outline_json)
|
||||||
|
except json.JSONDecodeError as e:
|
||||||
|
logger.error(f"JSON parsing error: {str(e)}")
|
||||||
|
logger.error(f"Raw response: {outline_json}")
|
||||||
|
# Fallback to a basic outline structure
|
||||||
|
outline = {
|
||||||
|
f"Section {i+1}": [f"Subsection {i+1}.{j+1}" for j in range(self.config.num_subsections_per_section)]
|
||||||
|
for i in range(self.config.num_main_sections)
|
||||||
|
}
|
||||||
|
|
||||||
|
# Add introduction and conclusion if configured
|
||||||
if self.config.include_introduction:
|
if self.config.include_introduction:
|
||||||
detailed_sections["Introduction"] = await self._generate_introduction(topic)
|
outline = {"Introduction": ["Overview", "Importance", "What to Expect"]} | outline
|
||||||
|
|
||||||
if self.config.include_conclusion:
|
if self.config.include_conclusion:
|
||||||
detailed_sections["Conclusion"] = await self._generate_conclusion(topic)
|
outline["Conclusion"] = ["Summary", "Key Takeaways", "Next Steps"]
|
||||||
|
|
||||||
# Step 4: Add FAQs if requested
|
# Add FAQs if configured
|
||||||
if self.config.include_faqs:
|
if self.config.include_faqs:
|
||||||
detailed_sections["FAQs"] = await self._generate_faqs(topic)
|
# Generate topic-specific FAQs
|
||||||
|
faq_prompt = f"""Generate 3 specific and relevant FAQ questions for a blog post about: {topic}
|
||||||
# Step 5: Add resources if requested
|
|
||||||
if self.config.include_resources:
|
Content Type: {self.config.content_type.value}
|
||||||
detailed_sections["Additional Resources"] = await self._generate_resources(topic)
|
Target Audience: {self.config.target_audience}
|
||||||
|
Content Depth: {self.config.content_depth.value}
|
||||||
self.outline = detailed_sections
|
|
||||||
|
Requirements:
|
||||||
# Step 6: Generate content for each section
|
- Questions should be specific to the topic
|
||||||
await self._generate_section_contents(topic)
|
- Cover common concerns and important aspects
|
||||||
|
- Be relevant to the target audience
|
||||||
return self.outline
|
- Include both basic and advanced questions
|
||||||
|
|
||||||
except Exception as err:
|
Format: Return only a JSON array of 3 questions.
|
||||||
logger.error(f"Failed to generate outline: {err}")
|
Example format: ["Question 1?", "Question 2?", "Question 3?"]"""
|
||||||
raise
|
|
||||||
|
try:
|
||||||
async def _generate_main_sections(self, topic: str) -> List[str]:
|
faq_json = llm_text_gen(faq_prompt)
|
||||||
"""Generate main sections for the outline."""
|
faq_json = faq_json.strip()
|
||||||
prompt = f"""Generate {self.config.num_main_sections} main sections for a {self.config.content_type.value}
|
if not faq_json.startswith('['):
|
||||||
article about {topic} with the following characteristics:
|
faq_json = faq_json[faq_json.find('['):]
|
||||||
|
if not faq_json.endswith(']'):
|
||||||
Content Type: {self.config.content_type.value}
|
faq_json = faq_json[:faq_json.rfind(']')+1]
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Target Word Count: {self.config.target_word_count}
|
|
||||||
Target Audience: {self.config.target_audience}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
Additional Requirements:
|
|
||||||
- Each section should contribute to the overall word count goal
|
|
||||||
- Sections should flow logically
|
|
||||||
- Include key concepts and important points
|
|
||||||
- Consider SEO optimization
|
|
||||||
- Keywords to include: {', '.join(self.config.keywords or [])}
|
|
||||||
- Topics to exclude: {', '.join(self.config.exclude_topics or [])}
|
|
||||||
|
|
||||||
Please provide only the section titles, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
return [section.strip() for section in response.split('\n') if section.strip()]
|
|
||||||
|
|
||||||
async def _generate_subsections(self, main_sections: List[str]) -> Dict[str, List[str]]:
|
|
||||||
"""Generate subsections for each main section."""
|
|
||||||
detailed_sections = {}
|
|
||||||
|
|
||||||
for section in main_sections:
|
|
||||||
prompt = f"""Generate {self.config.num_subsections_per_section} subsections for the following section:
|
|
||||||
{section}
|
|
||||||
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
Each subsection should:
|
|
||||||
- Be specific and focused
|
|
||||||
- Support the main section's topic
|
|
||||||
- Include key points to cover
|
|
||||||
- Consider SEO optimization
|
|
||||||
|
|
||||||
Please provide only the subsection titles, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
detailed_sections[section] = [sub.strip() for sub in response.split('\n') if sub.strip()]
|
|
||||||
|
|
||||||
return detailed_sections
|
|
||||||
|
|
||||||
async def _generate_introduction(self, topic: str) -> List[str]:
|
|
||||||
"""Generate introduction subsections."""
|
|
||||||
prompt = f"""Generate introduction subsections for an article about {topic}.
|
|
||||||
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
The introduction should:
|
|
||||||
- Hook the reader
|
|
||||||
- Present the main topic
|
|
||||||
- Outline what's to come
|
|
||||||
- Set the tone for the article
|
|
||||||
|
|
||||||
Please provide only the subsection titles, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
return [sub.strip() for sub in response.split('\n') if sub.strip()]
|
|
||||||
|
|
||||||
async def _generate_conclusion(self, topic: str) -> List[str]:
|
|
||||||
"""Generate conclusion subsections."""
|
|
||||||
prompt = f"""Generate conclusion subsections for an article about {topic}.
|
|
||||||
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
The conclusion should:
|
|
||||||
- Summarize key points
|
|
||||||
- Provide final thoughts
|
|
||||||
- Include a call to action
|
|
||||||
- Leave a lasting impression
|
|
||||||
|
|
||||||
Please provide only the subsection titles, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
return [sub.strip() for sub in response.split('\n') if sub.strip()]
|
|
||||||
|
|
||||||
async def _generate_faqs(self, topic: str) -> List[str]:
|
|
||||||
"""Generate FAQ subsections."""
|
|
||||||
prompt = f"""Generate FAQ subsections for an article about {topic}.
|
|
||||||
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
The FAQs should:
|
|
||||||
- Address common questions
|
|
||||||
- Cover important aspects
|
|
||||||
- Be relevant to the target audience
|
|
||||||
- Include both basic and advanced questions
|
|
||||||
|
|
||||||
Please provide only the FAQ questions, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
return [sub.strip() for sub in response.split('\n') if sub.strip()]
|
|
||||||
|
|
||||||
async def _generate_resources(self, topic: str) -> List[str]:
|
|
||||||
"""Generate resource subsections."""
|
|
||||||
prompt = f"""Generate resource subsections for an article about {topic}.
|
|
||||||
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
|
|
||||||
The resources should:
|
|
||||||
- Include relevant links
|
|
||||||
- Suggest further reading
|
|
||||||
- Provide tools or references
|
|
||||||
- Include related materials
|
|
||||||
|
|
||||||
Please provide only the resource categories, one per line."""
|
|
||||||
|
|
||||||
response = await llm_text_gen(prompt)
|
|
||||||
return [sub.strip() for sub in response.split('\n') if sub.strip()]
|
|
||||||
|
|
||||||
async def _generate_section_contents(self, topic: str):
|
|
||||||
"""Generate content and images for each section."""
|
|
||||||
for section, subsections in self.outline.items():
|
|
||||||
if section not in ["Introduction", "Conclusion", "FAQs", "Additional Resources"]:
|
|
||||||
# Generate content for the main section
|
|
||||||
content_prompt = f"""Write a detailed section for a blog post about {topic}.
|
|
||||||
Section Title: {section}
|
|
||||||
Content Type: {self.config.content_type.value}
|
|
||||||
Content Depth: {self.config.content_depth.value}
|
|
||||||
Style: {self.config.outline_style.value}
|
|
||||||
Target Word Count: {self.config.target_word_count // self.config.num_main_sections}
|
|
||||||
|
|
||||||
Include:
|
|
||||||
- Clear explanation of the main points
|
|
||||||
- Examples and illustrations
|
|
||||||
- Key takeaways
|
|
||||||
- Relevant data or statistics
|
|
||||||
"""
|
|
||||||
|
|
||||||
content = await llm_text_gen(content_prompt)
|
|
||||||
|
|
||||||
# Generate image prompt if images are enabled
|
|
||||||
image_prompt = None
|
|
||||||
image_path = None
|
|
||||||
|
|
||||||
if self.config.include_images:
|
|
||||||
image_prompt = f"""Create a detailed image prompt for a blog section about {topic}.
|
|
||||||
Section: {section}
|
|
||||||
Content: {content[:200]}...
|
|
||||||
Style: {self.config.image_style}
|
|
||||||
"""
|
|
||||||
|
|
||||||
image_prompt = await llm_text_gen(image_prompt)
|
faqs = json.loads(faq_json)
|
||||||
try:
|
outline["Frequently Asked Questions"] = faqs
|
||||||
image_path = generate_image(
|
except Exception as e:
|
||||||
image_prompt,
|
logger.error(f"Error generating FAQs: {str(e)}")
|
||||||
title=section,
|
outline["Frequently Asked Questions"] = [
|
||||||
description=content[:100],
|
f"Common Question about {topic} 1",
|
||||||
tags=self.config.keywords
|
f"Common Question about {topic} 2",
|
||||||
)
|
f"Common Question about {topic} 3"
|
||||||
except Exception as err:
|
]
|
||||||
logger.warning(f"Failed to generate image for section {section}: {err}")
|
|
||||||
|
# Add resources if configured
|
||||||
self.section_contents[section] = SectionContent(
|
if self.config.include_resources:
|
||||||
title=section,
|
outline["Additional Resources"] = [
|
||||||
content=content,
|
"Further Reading",
|
||||||
image_prompt=image_prompt,
|
"Tools and References",
|
||||||
image_path=image_path
|
"Related Topics"
|
||||||
)
|
]
|
||||||
|
|
||||||
|
return outline
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Error generating outline: {str(e)}")
|
||||||
|
return {}
|
||||||
|
|
||||||
|
def generate_section_content(self, section: str, subsections: List[str]) -> Optional[SectionContent]:
|
||||||
|
"""Generate content for a section."""
|
||||||
|
try:
|
||||||
|
# Create a focused prompt for content generation
|
||||||
|
prompt = f"""Generate content for section: {section}
|
||||||
|
|
||||||
|
Subsections: {', '.join(subsections)}
|
||||||
|
Content Type: {self.config.content_type.value}
|
||||||
|
Target Audience: {self.config.target_audience}
|
||||||
|
Content Depth: {self.config.content_depth.value}
|
||||||
|
Style: {self.config.outline_style.value}
|
||||||
|
Word Count Target: {self.config.target_word_count // self.config.num_main_sections}
|
||||||
|
|
||||||
|
Requirements:
|
||||||
|
- Write content for each subsection
|
||||||
|
- Maintain {self.config.content_depth.value} depth
|
||||||
|
- Target {self.config.target_audience} audience
|
||||||
|
- Follow {self.config.outline_style.value} style
|
||||||
|
- Optimize for {self.config.target_word_count // self.config.num_main_sections} words
|
||||||
|
- Include relevant examples and data points
|
||||||
|
- Use clear, engaging language
|
||||||
|
|
||||||
|
Format: Return only a JSON object with 'content' and 'image_prompt' fields.
|
||||||
|
Example format: {{"content": "Section content here...", "image_prompt": "Image description here..."}}"""
|
||||||
|
|
||||||
|
# Get content from LLM
|
||||||
|
content_json = llm_text_gen(prompt)
|
||||||
|
content_data = json.loads(content_json)
|
||||||
|
|
||||||
|
# Generate image if configured
|
||||||
|
image_path = None
|
||||||
|
if self.config.include_images:
|
||||||
|
image_path = self.generate_section_image(section)
|
||||||
|
|
||||||
|
return SectionContent(
|
||||||
|
title=section,
|
||||||
|
content=content_data["content"],
|
||||||
|
image_prompt=content_data.get("image_prompt"),
|
||||||
|
image_path=image_path
|
||||||
|
)
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Error generating content for section {section}: {str(e)}")
|
||||||
|
return None
|
||||||
|
|
||||||
|
def generate_section_image(self, section: str) -> Optional[str]:
|
||||||
|
"""Generate an image for a section."""
|
||||||
|
try:
|
||||||
|
# Create a focused prompt for image generation
|
||||||
|
prompt = f"""Generate an image prompt for section: {section}
|
||||||
|
|
||||||
|
Style: {self.config.image_style}
|
||||||
|
Engine: {self.config.image_engine}
|
||||||
|
Content Type: {self.config.content_type.value}
|
||||||
|
Target Audience: {self.config.target_audience}
|
||||||
|
|
||||||
|
Requirements:
|
||||||
|
- Create a {self.config.image_style} style image
|
||||||
|
- Optimize for {self.config.image_engine} engine
|
||||||
|
- Match {self.config.content_type.value} content type
|
||||||
|
- Appeal to {self.config.target_audience} audience
|
||||||
|
- Be visually engaging and relevant
|
||||||
|
|
||||||
|
Format: Return only a JSON object with an 'image_prompt' field.
|
||||||
|
Example format: {{"image_prompt": "Detailed image description here..."}}"""
|
||||||
|
|
||||||
|
# Get image prompt from LLM
|
||||||
|
prompt_json = llm_text_gen(prompt)
|
||||||
|
prompt_data = json.loads(prompt_json)
|
||||||
|
|
||||||
|
# Generate image using the specified engine
|
||||||
|
if self.config.image_engine == "Gemini-AI":
|
||||||
|
image_path = generate_gemini_image(prompt_data["image_prompt"])
|
||||||
|
elif self.config.image_engine == "Dalle3":
|
||||||
|
image_path = generate_dalle_image(prompt_data["image_prompt"])
|
||||||
|
else: # Stability-AI
|
||||||
|
image_path = generate_stability_image(prompt_data["image_prompt"])
|
||||||
|
|
||||||
|
return image_path
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Error generating image for section {section}: {str(e)}")
|
||||||
|
return None
|
||||||
|
|
||||||
def to_markdown(self) -> str:
|
def to_markdown(self) -> str:
|
||||||
"""Convert outline to markdown format with content and images."""
|
"""Convert outline to markdown format with content and images."""
|
||||||
markdown = f"# {self.outline.get('Introduction', [''])[0]}\n\n"
|
markdown = f"# {self.outline.get('Introduction', [''])[0]}\n\n"
|
||||||
|
|||||||
@@ -34,42 +34,126 @@ st.markdown("""
|
|||||||
border-radius: 4px;
|
border-radius: 4px;
|
||||||
border: none;
|
border: none;
|
||||||
font-weight: bold;
|
font-weight: bold;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.stButton>button:hover {
|
.stButton>button:hover {
|
||||||
background-color: #45a049;
|
background-color: #45a049;
|
||||||
}
|
}
|
||||||
|
/* Add specific styling for the generate outline button */
|
||||||
|
.generate-outline-button {
|
||||||
|
width: 100%;
|
||||||
|
margin: 20px 0;
|
||||||
|
}
|
||||||
|
.generate-outline-button > button {
|
||||||
|
width: 100%;
|
||||||
|
height: 50px;
|
||||||
|
font-size: 1.2rem;
|
||||||
|
}
|
||||||
.section-card {
|
.section-card {
|
||||||
background-color: white;
|
background-color: white;
|
||||||
padding: 20px;
|
padding: 20px;
|
||||||
border-radius: 8px;
|
border-radius: 8px;
|
||||||
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
||||||
margin-bottom: 20px;
|
margin-bottom: 20px;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.content-preview {
|
.content-preview {
|
||||||
background-color: #f8f9fa;
|
background-color: #f8f9fa;
|
||||||
padding: 15px;
|
padding: 15px;
|
||||||
border-radius: 4px;
|
border-radius: 4px;
|
||||||
margin: 10px 0;
|
margin: 10px 0;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.image-container {
|
.image-container {
|
||||||
display: flex;
|
display: flex;
|
||||||
justify-content: center;
|
justify-content: center;
|
||||||
margin: 20px 0;
|
margin: 20px 0;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.stats-card {
|
.stats-card {
|
||||||
background-color: #e8f5e9;
|
background-color: #e8f5e9;
|
||||||
padding: 15px;
|
padding: 15px;
|
||||||
border-radius: 8px;
|
border-radius: 8px;
|
||||||
margin: 10px 0;
|
margin: 10px 0;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.edit-section {
|
.edit-section {
|
||||||
background-color: #e3f2fd;
|
background-color: #e3f2fd;
|
||||||
padding: 15px;
|
padding: 15px;
|
||||||
border-radius: 4px;
|
border-radius: 4px;
|
||||||
margin: 10px 0;
|
margin: 10px 0;
|
||||||
|
width: 100%;
|
||||||
}
|
}
|
||||||
.subsection-list {
|
.subsection-list {
|
||||||
margin-left: 20px;
|
margin-left: 20px;
|
||||||
|
width: 100%;
|
||||||
|
}
|
||||||
|
/* Main container width */
|
||||||
|
.main .block-container {
|
||||||
|
max-width: 100%;
|
||||||
|
padding: 2rem;
|
||||||
|
}
|
||||||
|
/* Full width for the outline display */
|
||||||
|
.outline-container {
|
||||||
|
width: 100%;
|
||||||
|
max-width: 100%;
|
||||||
|
margin: 0 auto;
|
||||||
|
padding: 20px;
|
||||||
|
}
|
||||||
|
/* Section styling */
|
||||||
|
.section-header {
|
||||||
|
font-size: 1.5rem;
|
||||||
|
font-weight: bold;
|
||||||
|
color: #2c3e50;
|
||||||
|
margin-bottom: 1rem;
|
||||||
|
padding-bottom: 0.5rem;
|
||||||
|
border-bottom: 2px solid #e0e0e0;
|
||||||
|
}
|
||||||
|
.subsection-item {
|
||||||
|
font-size: 1.1rem;
|
||||||
|
color: #34495e;
|
||||||
|
margin: 0.5rem 0;
|
||||||
|
padding-left: 1rem;
|
||||||
|
}
|
||||||
|
/* Content area styling */
|
||||||
|
.content-area {
|
||||||
|
background-color: white;
|
||||||
|
padding: 2rem;
|
||||||
|
border-radius: 8px;
|
||||||
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
||||||
|
margin: 1rem 0;
|
||||||
|
}
|
||||||
|
/* Make sure all Streamlit elements use full width */
|
||||||
|
.stMarkdown, .stText, .stTextArea, .stSelectbox, .stSlider {
|
||||||
|
width: 100% !important;
|
||||||
|
}
|
||||||
|
/* Full width for code blocks */
|
||||||
|
.stCodeBlock {
|
||||||
|
width: 100% !important;
|
||||||
|
}
|
||||||
|
/* Full width for the main content */
|
||||||
|
.main .block-container {
|
||||||
|
padding-left: 2rem;
|
||||||
|
padding-right: 2rem;
|
||||||
|
max-width: 100%;
|
||||||
|
}
|
||||||
|
/* Adjust the main content area */
|
||||||
|
.main .block-container > div {
|
||||||
|
max-width: 100%;
|
||||||
|
}
|
||||||
|
/* Make sure the outline content uses full width */
|
||||||
|
.outline-content {
|
||||||
|
width: 100%;
|
||||||
|
max-width: 100%;
|
||||||
|
margin: 0;
|
||||||
|
padding: 0;
|
||||||
|
}
|
||||||
|
/* Adjust the preview section */
|
||||||
|
.preview-section {
|
||||||
|
width: 100%;
|
||||||
|
max-width: 100%;
|
||||||
|
margin: 0;
|
||||||
|
padding: 1rem;
|
||||||
}
|
}
|
||||||
</style>
|
</style>
|
||||||
""", unsafe_allow_html=True)
|
""", unsafe_allow_html=True)
|
||||||
@@ -205,7 +289,7 @@ def display_section(section: str, subsections: List[str], content: Optional[Dict
|
|||||||
"""Display a section with its content and subsections."""
|
"""Display a section with its content and subsections."""
|
||||||
st.markdown(f"""
|
st.markdown(f"""
|
||||||
<div class="section-card">
|
<div class="section-card">
|
||||||
<h2>{section}</h2>
|
<div class="section-header">{section}</div>
|
||||||
""", unsafe_allow_html=True)
|
""", unsafe_allow_html=True)
|
||||||
|
|
||||||
# Section editing controls
|
# Section editing controls
|
||||||
@@ -225,37 +309,78 @@ def display_section(section: str, subsections: List[str], content: Optional[Dict
|
|||||||
</div>
|
</div>
|
||||||
""", unsafe_allow_html=True)
|
""", unsafe_allow_html=True)
|
||||||
|
|
||||||
# Display image if available
|
# Image generation and display - Always show if images are enabled
|
||||||
if content.image_path:
|
if generator and generator.config.include_images:
|
||||||
st.markdown('<div class="image-container">', unsafe_allow_html=True)
|
st.markdown("### Image Generation")
|
||||||
st.image(content.image_path, caption=section, use_column_width=True)
|
col1, col2, col3 = st.columns([2, 2, 1])
|
||||||
st.markdown('</div>', unsafe_allow_html=True)
|
|
||||||
|
|
||||||
# Display image prompt in expander
|
with col1:
|
||||||
if content.image_prompt:
|
image_style = st.selectbox(
|
||||||
with st.expander("View Image Prompt"):
|
"Image Style",
|
||||||
st.code(content.image_prompt, language="text")
|
["realistic", "illustration", "minimalist", "photographic", "artistic"],
|
||||||
|
index=["realistic", "illustration", "minimalist", "photographic", "artistic"].index(generator.config.image_style),
|
||||||
|
key=f"img_style_{section}"
|
||||||
|
)
|
||||||
|
|
||||||
|
with col2:
|
||||||
|
image_engine = st.selectbox(
|
||||||
|
"Image Engine",
|
||||||
|
["Gemini-AI", "Dalle3", "Stability-AI"],
|
||||||
|
index=["Gemini-AI", "Dalle3", "Stability-AI"].index(generator.config.image_engine),
|
||||||
|
key=f"img_engine_{section}"
|
||||||
|
)
|
||||||
|
|
||||||
|
with col3:
|
||||||
|
if st.button("Generate Image", key=f"gen_img_{section}"):
|
||||||
|
with st.spinner(f"Generating image for {section}..."):
|
||||||
|
# Update config with selected options
|
||||||
|
generator.config.image_style = image_style
|
||||||
|
generator.config.image_engine = image_engine
|
||||||
|
image_path = generator.generate_section_image(section)
|
||||||
|
if image_path:
|
||||||
|
st.success("Image generated successfully!")
|
||||||
|
st.experimental_rerun()
|
||||||
|
else:
|
||||||
|
st.error("Failed to generate image")
|
||||||
|
|
||||||
|
# Display existing image if available
|
||||||
|
if content.image_path:
|
||||||
|
st.markdown('<div class="image-container">', unsafe_allow_html=True)
|
||||||
|
st.image(content.image_path, caption=section, use_column_width=True)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
# Display image prompt in expander
|
||||||
|
if content.image_prompt:
|
||||||
|
with st.expander("View Image Prompt"):
|
||||||
|
st.code(content.image_prompt, language="text")
|
||||||
|
|
||||||
# Edit mode controls
|
# Edit mode controls
|
||||||
if edit_mode:
|
if edit_mode:
|
||||||
|
st.markdown("### Edit Content")
|
||||||
# Edit content
|
# Edit content
|
||||||
edited_content = edit_section_content(section, content.content)
|
edited_content = edit_section_content(section, content.content)
|
||||||
content.content = edited_content
|
if edited_content != content.content:
|
||||||
|
content.content = edited_content
|
||||||
|
st.experimental_rerun()
|
||||||
|
|
||||||
|
st.markdown("### Edit Subsections")
|
||||||
# Edit subsections
|
# Edit subsections
|
||||||
edited_subsections = edit_subsections(section, subsections)
|
edited_subsections = edit_subsections(section, subsections)
|
||||||
subsections[:] = edited_subsections
|
if edited_subsections != subsections:
|
||||||
|
subsections[:] = edited_subsections
|
||||||
|
st.experimental_rerun()
|
||||||
|
|
||||||
|
st.markdown("### Edit Metadata")
|
||||||
# Edit metadata
|
# Edit metadata
|
||||||
if generator:
|
if generator:
|
||||||
edit_section_metadata(section, generator)
|
edit_section_metadata(section, generator)
|
||||||
|
else:
|
||||||
# Display subsections
|
# Display subsections in view mode
|
||||||
st.markdown("### Subsections")
|
st.markdown("### Subsections")
|
||||||
st.markdown('<div class="subsection-list">', unsafe_allow_html=True)
|
st.markdown('<div class="subsection-list">', unsafe_allow_html=True)
|
||||||
for subsection in subsections:
|
for subsection in subsections:
|
||||||
st.markdown(f"- {subsection}")
|
st.markdown(f'<div class="subsection-item">• {subsection}</div>', unsafe_allow_html=True)
|
||||||
st.markdown('</div>', unsafe_allow_html=True)
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
st.markdown("</div>", unsafe_allow_html=True)
|
st.markdown("</div>", unsafe_allow_html=True)
|
||||||
|
|
||||||
@@ -297,13 +422,6 @@ def display_stats(generator, outline):
|
|||||||
""", unsafe_allow_html=True)
|
""", unsafe_allow_html=True)
|
||||||
|
|
||||||
def main():
|
def main():
|
||||||
st.set_page_config(
|
|
||||||
page_title="Blog Outline Generator",
|
|
||||||
page_icon="📝",
|
|
||||||
layout="wide",
|
|
||||||
initial_sidebar_state="expanded"
|
|
||||||
)
|
|
||||||
|
|
||||||
# Header with description
|
# Header with description
|
||||||
st.title("Blog Outline Generator")
|
st.title("Blog Outline Generator")
|
||||||
st.markdown("""
|
st.markdown("""
|
||||||
@@ -311,179 +429,311 @@ def main():
|
|||||||
Customize your outline with various options and get detailed content for each section.
|
Customize your outline with various options and get detailed content for each section.
|
||||||
""")
|
""")
|
||||||
|
|
||||||
# Sidebar for configuration
|
# Main content area with full width
|
||||||
with st.sidebar:
|
st.markdown('<div class="outline-container">', unsafe_allow_html=True)
|
||||||
st.header("Configuration")
|
|
||||||
|
# Move topic input to main area and make it more prominent
|
||||||
|
st.markdown("### Enter Your Blog Topic")
|
||||||
|
topic = st.text_input("", placeholder="Enter your blog topic here for creating outline...", key="blog_topic")
|
||||||
|
|
||||||
|
st.markdown("---") # Add a separator
|
||||||
|
st.markdown("### Configuration Options")
|
||||||
|
|
||||||
|
# Create tabs for different configuration sections
|
||||||
|
tab1, tab2, tab3, tab4 = st.tabs([
|
||||||
|
"📝 Content Type & Target",
|
||||||
|
"📊 Content Structure",
|
||||||
|
"🎨 Style & Sections",
|
||||||
|
"🖼️ Image & Optimization"
|
||||||
|
])
|
||||||
|
|
||||||
|
with tab1:
|
||||||
|
st.markdown("#### Content Type & Target")
|
||||||
|
col1, col2, col3 = st.columns(3)
|
||||||
|
|
||||||
# Basic settings
|
with col1:
|
||||||
topic = st.text_input("Blog Topic", placeholder="Enter your blog topic")
|
content_type = st.selectbox(
|
||||||
content_type = st.selectbox(
|
"Content Type",
|
||||||
"Content Type",
|
[type.value for type in ContentType],
|
||||||
[type.value for type in ContentType]
|
index=[type.value for type in ContentType].index(ContentType.GUIDE.value),
|
||||||
)
|
help="Select the type of content you want to generate"
|
||||||
content_depth = st.selectbox(
|
)
|
||||||
"Content Depth",
|
|
||||||
[depth.value for depth in ContentDepth]
|
|
||||||
)
|
|
||||||
outline_style = st.selectbox(
|
|
||||||
"Outline Style",
|
|
||||||
[style.value for style in OutlineStyle]
|
|
||||||
)
|
|
||||||
|
|
||||||
# Content structure
|
with col2:
|
||||||
st.subheader("Content Structure")
|
target_audience = st.selectbox(
|
||||||
target_word_count = st.slider("Target Word Count", 500, 5000, 2000, 100)
|
"Target Audience",
|
||||||
num_main_sections = st.slider("Number of Main Sections", 3, 10, 5)
|
["General", "Technical", "Professional", "Academic", "Business", "Students", "Developers"],
|
||||||
num_subsections = st.slider("Subsections per Section", 2, 5, 3)
|
index=0,
|
||||||
|
help="Select your target audience"
|
||||||
|
)
|
||||||
|
|
||||||
# Advanced settings
|
with col3:
|
||||||
with st.expander("Advanced Settings"):
|
language = st.selectbox(
|
||||||
include_intro = st.checkbox("Include Introduction", value=True)
|
"Language",
|
||||||
include_conclusion = st.checkbox("Include Conclusion", value=True)
|
["English", "Spanish", "French", "German", "Italian", "Portuguese", "Chinese", "Japanese", "Korean"],
|
||||||
include_faqs = st.checkbox("Include FAQs", value=True)
|
index=0,
|
||||||
include_resources = st.checkbox("Include Resources", value=True)
|
help="Select the language for your content"
|
||||||
|
)
|
||||||
|
|
||||||
|
with tab2:
|
||||||
|
st.markdown("#### Content Structure")
|
||||||
|
col1, col2 = st.columns(2)
|
||||||
|
|
||||||
|
with col1:
|
||||||
|
num_main_sections = st.slider(
|
||||||
|
"Number of Main Sections",
|
||||||
|
min_value=3,
|
||||||
|
max_value=10,
|
||||||
|
value=5,
|
||||||
|
step=1,
|
||||||
|
help="Choose how many main sections your outline should have"
|
||||||
|
)
|
||||||
|
|
||||||
|
num_subsections = st.slider(
|
||||||
|
"Subsections per Section",
|
||||||
|
min_value=2,
|
||||||
|
max_value=5,
|
||||||
|
value=3,
|
||||||
|
step=1,
|
||||||
|
help="Choose how many subsections each main section should have"
|
||||||
|
)
|
||||||
|
|
||||||
|
with col2:
|
||||||
|
target_word_count = st.slider(
|
||||||
|
"Target Word Count",
|
||||||
|
min_value=500,
|
||||||
|
max_value=5000,
|
||||||
|
value=2000,
|
||||||
|
step=100,
|
||||||
|
help="Set your target word count for the entire blog post"
|
||||||
|
)
|
||||||
|
|
||||||
|
# Display content statistics
|
||||||
|
st.markdown("##### Content Statistics")
|
||||||
|
st.markdown(f"""
|
||||||
|
- Estimated Sections: {num_main_sections}
|
||||||
|
- Total Subsections: {num_main_sections * num_subsections}
|
||||||
|
- Target Word Count: {target_word_count}
|
||||||
|
- Average Words per Section: {target_word_count // num_main_sections}
|
||||||
|
""")
|
||||||
|
|
||||||
|
with tab3:
|
||||||
|
st.markdown("#### Style & Sections")
|
||||||
|
col1, col2 = st.columns(2)
|
||||||
|
|
||||||
|
with col1:
|
||||||
|
content_depth = st.selectbox(
|
||||||
|
"Content Depth",
|
||||||
|
[depth.value for depth in ContentDepth],
|
||||||
|
index=[depth.value for depth in ContentDepth].index(ContentDepth.INTERMEDIATE.value),
|
||||||
|
help="Select the depth of content coverage"
|
||||||
|
)
|
||||||
|
|
||||||
|
outline_style = st.selectbox(
|
||||||
|
"Outline Style",
|
||||||
|
[style.value for style in OutlineStyle],
|
||||||
|
index=[style.value for style in OutlineStyle].index(OutlineStyle.MODERN.value),
|
||||||
|
help="Select the style of your outline"
|
||||||
|
)
|
||||||
|
|
||||||
|
with col2:
|
||||||
|
st.markdown("##### Additional Sections")
|
||||||
|
include_intro = st.checkbox("Include Introduction", value=True, help="Add an introduction section")
|
||||||
|
include_conclusion = st.checkbox("Include Conclusion", value=True, help="Add a conclusion section")
|
||||||
|
include_faqs = st.checkbox("Include FAQs", value=True, help="Add a FAQ section")
|
||||||
|
include_resources = st.checkbox("Include Resources", value=True, help="Add a resources section")
|
||||||
|
|
||||||
|
with tab4:
|
||||||
|
st.markdown("#### Image & Optimization")
|
||||||
|
col1, col2 = st.columns(2)
|
||||||
|
|
||||||
|
with col1:
|
||||||
|
st.markdown("##### Image Settings")
|
||||||
|
include_images = st.checkbox("Enable Image Generation", value=True, help="Enable AI image generation for sections")
|
||||||
|
|
||||||
# Image settings
|
|
||||||
st.subheader("Image Settings")
|
|
||||||
include_images = st.checkbox("Include Images", value=True)
|
|
||||||
if include_images:
|
if include_images:
|
||||||
image_style = st.selectbox(
|
image_style = st.selectbox(
|
||||||
"Image Style",
|
"Image Style",
|
||||||
["realistic", "illustration", "minimalist", "photographic", "artistic"]
|
["realistic", "illustration", "minimalist", "photographic", "artistic"],
|
||||||
|
index=0,
|
||||||
|
help="Select the style for generated images"
|
||||||
)
|
)
|
||||||
|
|
||||||
image_engine = st.selectbox(
|
image_engine = st.selectbox(
|
||||||
"Image Engine",
|
"Image Engine",
|
||||||
["Gemini-AI", "Dalle3", "Stability-AI"]
|
["Gemini-AI", "Dalle3", "Stability-AI"],
|
||||||
|
index=0,
|
||||||
|
help="Select the AI engine for image generation"
|
||||||
)
|
)
|
||||||
|
|
||||||
|
with col2:
|
||||||
|
st.markdown("##### Content Optimization")
|
||||||
|
keywords = st.text_area(
|
||||||
|
"Keywords (comma-separated)",
|
||||||
|
help="Enter keywords for SEO optimization, separated by commas"
|
||||||
|
)
|
||||||
|
|
||||||
# Target audience and language
|
exclude_topics = st.text_area(
|
||||||
st.subheader("Target Audience")
|
"Topics to Exclude (comma-separated)",
|
||||||
target_audience = st.text_input("Target Audience", value="general")
|
help="Enter topics you want to exclude from the content"
|
||||||
language = st.text_input("Language", value="English")
|
)
|
||||||
|
|
||||||
# Keywords and exclusions
|
|
||||||
st.subheader("Content Optimization")
|
|
||||||
keywords = st.text_area("Keywords (comma-separated)")
|
|
||||||
exclude_topics = st.text_area("Topics to Exclude (comma-separated)")
|
|
||||||
|
|
||||||
# Main content area
|
st.markdown("---") # Add a separator before the generate button
|
||||||
if topic:
|
|
||||||
# Create configuration
|
# Create configuration
|
||||||
config = OutlineConfig(
|
config = OutlineConfig(
|
||||||
content_type=ContentType(content_type),
|
content_type=ContentType(content_type),
|
||||||
content_depth=ContentDepth(content_depth),
|
content_depth=ContentDepth(content_depth),
|
||||||
outline_style=OutlineStyle(outline_style),
|
outline_style=OutlineStyle(outline_style),
|
||||||
target_word_count=target_word_count,
|
target_word_count=target_word_count,
|
||||||
num_main_sections=num_main_sections,
|
num_main_sections=num_main_sections,
|
||||||
num_subsections_per_section=num_subsections,
|
num_subsections_per_section=num_subsections,
|
||||||
include_introduction=include_intro,
|
include_introduction=include_intro,
|
||||||
include_conclusion=include_conclusion,
|
include_conclusion=include_conclusion,
|
||||||
include_faqs=include_faqs,
|
include_faqs=include_faqs,
|
||||||
include_resources=include_resources,
|
include_resources=include_resources,
|
||||||
include_images=include_images,
|
include_images=include_images,
|
||||||
image_style=image_style if include_images else "realistic",
|
image_style=image_style if include_images else "realistic",
|
||||||
image_engine=image_engine if include_images else "Gemini-AI",
|
image_engine=image_engine if include_images else "Gemini-AI",
|
||||||
target_audience=target_audience,
|
target_audience=target_audience,
|
||||||
language=language,
|
language=language,
|
||||||
keywords=[k.strip() for k in keywords.split(',')] if keywords else None,
|
keywords=[k.strip() for k in keywords.split(',')] if keywords else None,
|
||||||
exclude_topics=[t.strip() for t in exclude_topics.split(',')] if exclude_topics else None
|
exclude_topics=[t.strip() for t in exclude_topics.split(',')] if exclude_topics else None
|
||||||
)
|
)
|
||||||
|
|
||||||
# Initialize generator
|
# Initialize generator
|
||||||
generator = BlogOutlineGenerator(config)
|
generator = BlogOutlineGenerator(config)
|
||||||
|
|
||||||
# Generate outline
|
# Store the generated outline in session state
|
||||||
if st.button("Generate Outline"):
|
if 'outline' not in st.session_state:
|
||||||
with st.spinner("Generating outline and content..."):
|
st.session_state.outline = None
|
||||||
try:
|
if 'section_contents' not in st.session_state:
|
||||||
# Add progress bar
|
st.session_state.section_contents = {}
|
||||||
progress_bar = st.progress(0)
|
|
||||||
for i in range(100):
|
# Generate outline button with full width
|
||||||
time.sleep(0.01)
|
st.markdown('<div class="generate-outline-button">', unsafe_allow_html=True)
|
||||||
progress_bar.progress(i + 1)
|
if not topic:
|
||||||
|
st.warning("Please enter a blog topic to generate the outline.")
|
||||||
outline = asyncio.run(generator.generate_outline(topic))
|
if st.button("Generate Outline", type="primary", use_container_width=True, disabled=not topic):
|
||||||
|
with st.spinner("Generating outline and content..."):
|
||||||
# Display results
|
try:
|
||||||
st.success("Outline generated successfully!")
|
# Add progress bar
|
||||||
|
progress_bar = st.progress(0)
|
||||||
# Display statistics
|
for i in range(100):
|
||||||
display_stats(generator, outline)
|
time.sleep(0.01)
|
||||||
|
progress_bar.progress(i + 1)
|
||||||
# Output format selection
|
|
||||||
output_format = st.radio(
|
|
||||||
"Output Format",
|
|
||||||
["Preview", "Markdown", "JSON", "HTML"]
|
|
||||||
)
|
|
||||||
|
|
||||||
if output_format == "Preview":
|
|
||||||
# Display outline with content and images
|
|
||||||
for section, subsections in outline.items():
|
|
||||||
content = generator.section_contents.get(section)
|
|
||||||
display_section(section, subsections, content)
|
|
||||||
|
|
||||||
elif output_format == "Markdown":
|
|
||||||
st.code(generator.to_markdown(), language="markdown")
|
|
||||||
st.download_button(
|
|
||||||
"Download Markdown",
|
|
||||||
generator.to_markdown(),
|
|
||||||
file_name="blog_outline.md",
|
|
||||||
mime="text/markdown"
|
|
||||||
)
|
|
||||||
|
|
||||||
elif output_format == "JSON":
|
|
||||||
json_output = json.dumps({
|
|
||||||
"outline": outline,
|
|
||||||
"contents": {
|
|
||||||
section: {
|
|
||||||
"title": content.title,
|
|
||||||
"content": content.content,
|
|
||||||
"image_prompt": content.image_prompt,
|
|
||||||
"image_path": content.image_path
|
|
||||||
}
|
|
||||||
for section, content in generator.section_contents.items()
|
|
||||||
}
|
|
||||||
}, indent=2)
|
|
||||||
st.code(json_output, language="json")
|
|
||||||
st.download_button(
|
|
||||||
"Download JSON",
|
|
||||||
json_output,
|
|
||||||
file_name="blog_outline.json",
|
|
||||||
mime="application/json"
|
|
||||||
)
|
|
||||||
|
|
||||||
elif output_format == "HTML":
|
|
||||||
# Add HTML export functionality
|
|
||||||
html_output = f"""
|
|
||||||
<!DOCTYPE html>
|
|
||||||
<html>
|
|
||||||
<head>
|
|
||||||
<title>{topic} - Blog Outline</title>
|
|
||||||
<style>
|
|
||||||
body {{ font-family: Arial, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; }}
|
|
||||||
.section {{ margin-bottom: 30px; }}
|
|
||||||
.content {{ background: #f8f9fa; padding: 15px; border-radius: 4px; }}
|
|
||||||
img {{ max-width: 100%; height: auto; }}
|
|
||||||
</style>
|
|
||||||
</head>
|
|
||||||
<body>
|
|
||||||
<h1>{topic}</h1>
|
|
||||||
{generator.to_markdown().replace('#', '##')}
|
|
||||||
</body>
|
|
||||||
</html>
|
|
||||||
"""
|
|
||||||
st.code(html_output, language="html")
|
|
||||||
st.download_button(
|
|
||||||
"Download HTML",
|
|
||||||
html_output,
|
|
||||||
file_name="blog_outline.html",
|
|
||||||
mime="text/html"
|
|
||||||
)
|
|
||||||
|
|
||||||
except Exception as e:
|
outline = generator.generate_outline(topic)
|
||||||
st.error(f"Error generating outline: {str(e)}")
|
st.session_state.outline = outline
|
||||||
else:
|
st.session_state.section_contents = generator.section_contents
|
||||||
st.info("Please enter a blog topic to get started.")
|
|
||||||
|
# Display results
|
||||||
|
st.success("Outline generated successfully!")
|
||||||
|
|
||||||
|
# Add copy button and display outline in full width
|
||||||
|
st.markdown('<div class="outline-content">', unsafe_allow_html=True)
|
||||||
|
outline_text = json.dumps(outline, indent=2)
|
||||||
|
st.code(outline_text, language="json")
|
||||||
|
st.button("Copy Outline", key="copy_outline",
|
||||||
|
help="Copy the outline to clipboard",
|
||||||
|
on_click=lambda: st.write(f'<script>navigator.clipboard.writeText(`{outline_text}`)</script>',
|
||||||
|
unsafe_allow_html=True))
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
# Display statistics
|
||||||
|
display_stats(generator, outline)
|
||||||
|
|
||||||
|
# Output format selection
|
||||||
|
output_format = st.radio(
|
||||||
|
"Output Format",
|
||||||
|
["Preview", "Markdown", "JSON", "HTML"]
|
||||||
|
)
|
||||||
|
|
||||||
|
if output_format == "Preview":
|
||||||
|
# Display outline with content and images
|
||||||
|
st.markdown('<div class="preview-section">', unsafe_allow_html=True)
|
||||||
|
for section, subsections in outline.items():
|
||||||
|
content = generator.section_contents.get(section)
|
||||||
|
display_section(section, subsections, content, generator)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
elif output_format == "Markdown":
|
||||||
|
markdown_output = generator.to_markdown()
|
||||||
|
st.markdown('<div class="outline-content">', unsafe_allow_html=True)
|
||||||
|
st.code(markdown_output, language="markdown")
|
||||||
|
st.download_button(
|
||||||
|
"Download Markdown",
|
||||||
|
markdown_output,
|
||||||
|
file_name="blog_outline.md",
|
||||||
|
mime="text/markdown"
|
||||||
|
)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
elif output_format == "JSON":
|
||||||
|
json_output = json.dumps({
|
||||||
|
"outline": outline,
|
||||||
|
"contents": {
|
||||||
|
section: {
|
||||||
|
"title": content.title,
|
||||||
|
"content": content.content,
|
||||||
|
"image_prompt": content.image_prompt,
|
||||||
|
"image_path": content.image_path
|
||||||
|
}
|
||||||
|
for section, content in generator.section_contents.items()
|
||||||
|
}
|
||||||
|
}, indent=2)
|
||||||
|
st.markdown('<div class="outline-content">', unsafe_allow_html=True)
|
||||||
|
st.code(json_output, language="json")
|
||||||
|
st.download_button(
|
||||||
|
"Download JSON",
|
||||||
|
json_output,
|
||||||
|
file_name="blog_outline.json",
|
||||||
|
mime="application/json"
|
||||||
|
)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
elif output_format == "HTML":
|
||||||
|
html_output = f"""
|
||||||
|
<!DOCTYPE html>
|
||||||
|
<html>
|
||||||
|
<head>
|
||||||
|
<title>{topic} - Blog Outline</title>
|
||||||
|
<style>
|
||||||
|
body {{ font-family: Arial, sans-serif; max-width: 100%; margin: 0 auto; padding: 20px; }}
|
||||||
|
.section {{ margin-bottom: 30px; }}
|
||||||
|
.content {{ background: #f8f9fa; padding: 15px; border-radius: 4px; }}
|
||||||
|
img {{ max-width: 100%; height: auto; }}
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<h1>{topic}</h1>
|
||||||
|
{generator.to_markdown().replace('#', '##')}
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
|
"""
|
||||||
|
st.markdown('<div class="outline-content">', unsafe_allow_html=True)
|
||||||
|
st.code(html_output, language="html")
|
||||||
|
st.download_button(
|
||||||
|
"Download HTML",
|
||||||
|
html_output,
|
||||||
|
file_name="blog_outline.html",
|
||||||
|
mime="text/html"
|
||||||
|
)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
st.error(f"Error generating outline: {str(e)}")
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
# Display the outline if it exists in session state
|
||||||
|
if st.session_state.outline:
|
||||||
|
st.markdown('<div class="preview-section">', unsafe_allow_html=True)
|
||||||
|
for section, subsections in st.session_state.outline.items():
|
||||||
|
content = st.session_state.section_contents.get(section)
|
||||||
|
display_section(section, subsections, content, generator)
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True)
|
||||||
|
|
||||||
|
st.markdown('</div>', unsafe_allow_html=True) # Close the outline container
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
main()
|
main()
|
||||||
Reference in New Issue
Block a user