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import gradio as gr
import replicate
import requests
import os
import json
import asyncio
import concurrent.futures
from io import BytesIO
from PIL import Image
from typing import List, Tuple, Dict
import zipfile
from datetime import datetime
import time
import traceback
import base64
# νκ²½ λ³μμμ ν ν° κ°μ Έμ€κΈ°
REPLICATE_API_TOKEN = os.getenv("RAPI_TOKEN")
FRIENDLI_TOKEN = os.getenv("FRIENDLI_TOKEN")
# μ€νμΌ μ μ
STYLE_TEMPLATES = {
"3D Style (Pixar-like)": {
"name": "3D Style",
"description": "Pixar-esque 3D render with volumetric lighting",
"use_case": "νμ§, λΉμ , λ―Έλ 컨μ
",
"example": "A fluffy ginger cat wearing a tiny spacesuit, floating amidst a vibrant nebula in a 3D render. The cat is gazing curiously at a swirling planet with rings made of candy. Background is filled with sparkling stars and colorful gas clouds, lit with soft, volumetric lighting. Style: Pixar-esque, highly detailed, playful. Colors: Deep blues, purples, oranges, and pinks. Rendered in Octane, 8k resolution."
},
"Elegant SWOT Quadrant": {
"name": "SWOT Analysis",
"description": "Flat-design 4-grid layout with minimal shadows",
"use_case": "νν© λΆμ, μ λ΅ νκ°",
"example": "Elegant SWOT quadrant: flat-design 4-grid on matte-white backdrop, thin pastel separators, top-left 'Strengths' panel shows glowing shield icon and subtle motif, top-right 'Weaknesses' panel with cracked chain icon in soft crimson, bottom-left 'Opportunities' panel with sunrise-over-horizon icon in optimistic teal, bottom-right 'Threats' panel with storm-cloud & lightning icon in deep indigo, minimal shadows, no text, no watermark, 16:9, 4K"
},
"Colorful Mind Map": {
"name": "Mind Map",
"description": "Hand-drawn educational style with vibrant colors",
"use_case": "λΈλ μΈμ€ν λ°, μμ΄λμ΄ μ 리",
"example": "A handrawn colorful mind map diagram: educational style, vibrant colors, clear hierarchy, golden ratio layout. Central concept with branching sub-topics, each branch with unique color coding, organic flowing connections, doodle-style icons for each node"
},
"Business Workflow": {
"name": "Business Process",
"description": "End-to-end business workflow with clear phases",
"use_case": "νλ‘μΈμ€ μ€λͺ
, λ¨κ³λ³ μ§ν",
"example": "A detailed hand-drawn diagram illustrating an end-to-end business workflow with Market Analysis, Strategy Development, Product Design, Implementation, and Post-Launch Review phases. Clear directional arrows, iconography for each component, vibrant educational yet professional style"
},
"Industrial Design": {
"name": "Product Design",
"description": "Sleek industrial design concept sketch",
"use_case": "μ ν μκ°, 컨μ
λμμΈ",
"example": "A sleek industrial design concept: Curved metallic body with minimal bezel, Touchscreen panel for settings, Modern matte black finish, Hand-drawn concept sketch style with annotations and dimension lines"
},
"3D Bubble Chart": {
"name": "Bubble Chart",
"description": "Clean 3D bubble visualization",
"use_case": "λΉκ΅ λΆμ, ν¬μ§μ
λ",
"example": "3-D bubble chart on clean white 2Γ2 grid, quadrant titles hidden, four translucent spheres in lime, azure, amber, magenta, gentle depth-of-field, modern consulting aesthetic, no text, 4K"
},
"Timeline Ribbon": {
"name": "Timeline",
"description": "Horizontal ribbon timeline with cyber-futuristic vibe",
"use_case": "μΌμ , λ‘λλ§΅, λ§μΌμ€ν€",
"example": "Horizontal ribbon timeline, milestone pins glowing hot pink on charcoal, year markers as circles, faint motion streaks, cyber-futuristic vibe, no text, 1920Γ1080"
},
"Risk Heat Map": {
"name": "Heat Map",
"description": "Risk assessment heat map with gradient colors",
"use_case": "리μ€ν¬ λΆμ, μ°μ μμ",
"example": "Risk Heat Map: square grid, smooth gradient from mint to fire-red, cells beveled, simple legend strip hidden, long subtle shadow, sterile white frame, no text"
},
"Pyramid/Funnel": {
"name": "Funnel Chart",
"description": "Multi-layer gradient funnel visualization",
"use_case": "λ¨κ³λ³ μΆμ, ν΅μ¬ λμΆ",
"example": "Pyramid / Funnel: 5-layer gradient funnel narrowing downwards, top vivid sky-blue, mid mint-green, bottom sunset-orange, glass reflection, minimal background, no text"
},
"KPI Dashboard": {
"name": "Dashboard",
"description": "Dark-mode analytics dashboard with sci-fi interface",
"use_case": "μ±κ³Ό μ§ν, μ€μ λμ보λ",
"example": "KPI Dashboard: Dark-mode analytic dashboard, three glass speedometers glowing neon lime, two sparkline charts under, black glass background, sci-fi interface, no text, 4K"
},
"Value Chain": {
"name": "Value Chain",
"description": "Horizontal value chain with industrial look",
"use_case": "κ°μΉ μ¬μ¬, λΉμ¦λμ€ λͺ¨λΈ",
"example": "Value Chain Diagram: Horizontal value chain blocks, steel-blue gradient bars with subtle bevel, small gear icons above each segment, sleek industrial look, shadow cast, no text"
},
"Gantt Chart": {
"name": "Gantt Chart",
"description": "Hand-drawn style Gantt chart with playful colors",
"use_case": "νλ‘μ νΈ μΌμ , μμ
κ΄λ¦¬",
"example": "Gantt Chart: Hand-drawn style Gantt bars sketched with vibrant markers on dotted grid notebook page, sticky-note color palette, playful yet organized, perspective tilt, no text"
},
"Mobile App Mockup": {
"name": "App Mockup",
"description": "Clean wireframe for mobile app design",
"use_case": "μ±/μΉ UI, νλ©΄ μ€κ³",
"example": "MOCKUP DESIGN: A clean hand-drawn style wireframe for a mobile app with Title screen, Login screen, Dashboard with sections, Bottom navigation bar, minimalist design with annotations"
},
"Flowchart": {
"name": "Flowchart",
"description": "Vibrant flowchart with minimalistic icons",
"use_case": "μμ¬κ²°μ , νλ‘μΈμ€ νλ¦",
"example": "FLOWCHART DESIGN: A hand-drawn style flowchart, vibrant colors, minimalistic icons showing process flow from START to END with decision points, branches, and clear directional arrows"
}
}
# PPT ν
νλ¦Ώ μ μ
PPT_TEMPLATES = {
"λΉμ¦λμ€ μ μμ": {
"description": "ν¬μ μ μΉ, μ¬μ
μ μμ©",
"slides": [
{"title": "νμ§", "style": "3D Style (Pixar-like)", "prompt_hint": "νμ¬ λΉμ κ³Ό λ―Έλ"},
{"title": "λͺ©μ°¨", "style": "Flowchart", "prompt_hint": "νλ μ ν
μ΄μ
ꡬ쑰"},
{"title": "λ¬Έμ μ μ", "style": "Colorful Mind Map", "prompt_hint": "νμ¬ μμ₯μ λ¬Έμ μ "},
{"title": "νν© λΆμ", "style": "Elegant SWOT Quadrant", "prompt_hint": "κ°μ , μ½μ , κΈ°ν, μν"},
{"title": "μ루μ
", "style": "Industrial Design", "prompt_hint": "μ ν/μλΉμ€ 컨μ
"},
{"title": "νλ‘μΈμ€", "style": "Business Workflow", "prompt_hint": "μ€ν λ¨κ³"},
{"title": "μΌμ ", "style": "Timeline Ribbon", "prompt_hint": "μ£Όμ λ§μΌμ€ν€"},
{"title": "μ±κ³Ό μμΈ‘", "style": "KPI Dashboard", "prompt_hint": "μμ μ±κ³Ό μ§ν"},
{"title": "ν¬μ μμ²", "style": "Pyramid/Funnel", "prompt_hint": "ν¬μ κ·λͺ¨μ νμ©"}
]
},
"μ ν μκ°": {
"description": "μ μ ν λ°μΉ, μλΉμ€ μκ°μ©",
"slides": [
{"title": "μ ν 컨μ
", "style": "Industrial Design", "prompt_hint": "μ ν λμμΈ"},
{"title": "μ¬μ©μ λμ¦", "style": "Colorful Mind Map", "prompt_hint": "κ³ κ° νμΈν¬μΈνΈ"},
{"title": "κΈ°λ₯ μκ°", "style": "Mobile App Mockup", "prompt_hint": "UI/UX νλ©΄"},
{"title": "μλ μ리", "style": "Flowchart", "prompt_hint": "κΈ°λ₯ νλ‘μ°"},
{"title": "μμ₯ ν¬μ§μ
", "style": "3D Bubble Chart", "prompt_hint": "κ²½μμ¬ λΉκ΅"},
{"title": "μΆμ μΌμ ", "style": "Timeline Ribbon", "prompt_hint": "λ°μΉ λ‘λλ§΅"}
]
},
"νλ‘μ νΈ λ³΄κ³ ": {
"description": "μ§ν μν©, μ±κ³Ό λ³΄κ³ μ©",
"slides": [
{"title": "νλ‘μ νΈ κ°μ", "style": "Business Workflow", "prompt_hint": "μ 체 νλ‘μΈμ€"},
{"title": "μ§ν νν©", "style": "Gantt Chart", "prompt_hint": "μμ
μΌμ "},
{"title": "리μ€ν¬ κ΄λ¦¬", "style": "Risk Heat Map", "prompt_hint": "μν μμ"},
{"title": "μ±κ³Ό μ§ν", "style": "KPI Dashboard", "prompt_hint": "λ¬μ± μ€μ "},
{"title": "ν₯ν κ³ν", "style": "Timeline Ribbon", "prompt_hint": "λ€μ λ¨κ³"}
]
},
"μ λ΅ κΈ°ν": {
"description": "μ€μ₯κΈ° μ λ΅, λΉμ μ립μ©",
"slides": [
{"title": "λΉμ ", "style": "3D Style (Pixar-like)", "prompt_hint": "λ―Έλ λΉμ "},
{"title": "νκ²½ λΆμ", "style": "Elegant SWOT Quadrant", "prompt_hint": "λ΄μΈλΆ νκ²½"},
{"title": "μ λ΅ μ²΄κ³", "style": "Colorful Mind Map", "prompt_hint": "μ λ΅ κ΅¬μ‘°"},
{"title": "κ°μΉ μ¬μ¬", "style": "Value Chain", "prompt_hint": "λΉμ¦λμ€ λͺ¨λΈ"},
{"title": "μ€ν λ‘λλ§΅", "style": "Timeline Ribbon", "prompt_hint": "λ¨κ³λ³ κ³ν"},
{"title": "λͺ©ν μ§ν", "style": "KPI Dashboard", "prompt_hint": "KPI λͺ©ν"}
]
},
"μ¬μ©μ μ μ": {
"description": "μ§μ ꡬμ±νκΈ°",
"slides": []
}
}
def generate_slide_content(topic: str, slide_title: str, slide_context: str) -> Dict[str, str]:
"""κ° μ¬λΌμ΄λμ ν
μ€νΈ λ΄μ© μμ±"""
print(f"[μ¬λΌμ΄λ λ΄μ©] {slide_title} ν
μ€νΈ μμ± μ€...")
url = "https://api.friendli.ai/dedicated/v1/chat/completions"
headers = {
"Authorization": f"Bearer {FRIENDLI_TOKEN}",
"Content-Type": "application/json"
}
system_prompt = """You are a professional presentation content writer specializing in creating concise, impactful slide content.
Your task is to create:
1. A compelling subtitle (max 10 words)
2. Exactly 5 bullet points, each being a complete, concise sentence
3. Each bullet point should be 10-15 words
Guidelines:
- Be specific and actionable
- Use professional business language
- Include relevant data points or metrics when appropriate
- Ensure content aligns with the slide's purpose
- Make each point distinct and valuable
- Use active voice and strong verbs
Output format:
Subtitle: [subtitle here]
β’ [Point 1]
β’ [Point 2]
β’ [Point 3]
β’ [Point 4]
β’ [Point 5]"""
user_message = f"""Topic: {topic}
Slide Title: {slide_title}
Context: {slide_context}
Create compelling content for this presentation slide."""
payload = {
"model": "dep89a2fld32mcm",
"messages": [
{
"role": "system",
"content": system_prompt
},
{
"role": "user",
"content": user_message
}
],
"max_tokens": 300,
"top_p": 0.8,
"temperature": 0.7,
"stream": False
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=30)
if response.status_code == 200:
result = response.json()
content = result['choices'][0]['message']['content'].strip()
# Parse content
lines = content.split('\n')
subtitle = ""
bullet_points = []
for line in lines:
if line.startswith("Subtitle:"):
subtitle = line.replace("Subtitle:", "").strip()
elif line.strip().startswith("β’"):
bullet_points.append(line.strip())
# νκΈλ‘ λ²μμ΄ νμν κ²½μ°
if any(ord('κ°') <= ord(char) <= ord('ν£') for char in topic):
subtitle = translate_content_to_korean(subtitle)
bullet_points = [translate_content_to_korean(point) for point in bullet_points]
return {
"subtitle": subtitle,
"bullet_points": bullet_points[:5] # μ΅λ 5κ°
}
else:
return {
"subtitle": slide_title,
"bullet_points": ["λ΄μ©μ μμ±ν μ μμ΅λλ€."] * 5
}
except Exception as e:
print(f"[μ¬λΌμ΄λ λ΄μ©] μ€λ₯: {str(e)}")
return {
"subtitle": slide_title,
"bullet_points": ["λ΄μ©μ μμ±ν μ μμ΅λλ€."] * 5
}
def translate_content_to_korean(text: str) -> str:
"""μμ΄ ν
μ€νΈλ₯Ό νκΈλ‘ λ²μ"""
url = "https://api.friendli.ai/dedicated/v1/chat/completions"
headers = {
"Authorization": f"Bearer {FRIENDLI_TOKEN}",
"Content-Type": "application/json"
}
payload = {
"model": "dep89a2fld32mcm",
"messages": [
{
"role": "system",
"content": "You are a translator. Translate the given English text to Korean. Maintain professional business tone. Only return the translation without any explanation."
},
{
"role": "user",
"content": text
}
],
"max_tokens": 200,
"top_p": 0.8,
"stream": False
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=30)
if response.status_code == 200:
result = response.json()
return result['choices'][0]['message']['content'].strip()
else:
return text
except Exception as e:
return text
def generate_prompt_with_llm(topic: str, style_example: str = None, slide_context: str = None) -> str:
"""μ£Όμ μ μ€νμΌ μμ λ₯Ό λ°μμ LLMμ μ¬μ©ν΄ μ΄λ―Έμ§ ν둬ννΈλ₯Ό μμ±"""
print(f"[LLM] ν둬ννΈ μμ± μμ: {slide_context}")
url = "https://api.friendli.ai/dedicated/v1/chat/completions"
headers = {
"Authorization": f"Bearer {FRIENDLI_TOKEN}",
"Content-Type": "application/json"
}
system_prompt = """You are an expert image prompt engineer specializing in creating prompts for professional presentation slides.
Your task is to create prompts that:
1. Are highly specific and visual, perfect for PPT backgrounds or main visuals
2. Consider the slide's purpose and maintain consistency across a presentation
3. Include style references matching the given example
4. Focus on clean, professional visuals that won't distract from text overlays
5. Ensure high contrast areas for text readability when needed
6. Maintain brand consistency and professional aesthetics
Important guidelines:
- If given a style example, adapt the topic to match that specific visual style
- Consider the slide context (e.g., "νμ§", "νν© λΆμ") to create appropriate visuals
- Always output ONLY the prompt without any explanation
- Keep prompts between 50-150 words for optimal results
- Ensure the visual supports rather than overwhelms the slide content"""
user_message = f"Topic: {topic}"
if style_example:
user_message += f"\n\nStyle reference to follow:\n{style_example}"
if slide_context:
user_message += f"\n\nSlide context: {slide_context}"
payload = {
"model": "dep89a2fld32mcm",
"messages": [
{
"role": "system",
"content": system_prompt
},
{
"role": "user",
"content": user_message
}
],
"max_tokens": 300,
"top_p": 0.8,
"temperature": 0.7,
"stream": False
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=30)
if response.status_code == 200:
result = response.json()
prompt = result['choices'][0]['message']['content'].strip()
print(f"[LLM] ν둬ννΈ μμ± μλ£: {prompt[:50]}...")
return prompt
else:
error_msg = f"ν둬ννΈ μμ± μ€ν¨: {response.status_code}"
print(f"[LLM] {error_msg}")
return error_msg
except Exception as e:
error_msg = f"ν둬ννΈ μμ± μ€ μ€λ₯ λ°μ: {str(e)}"
print(f"[LLM] {error_msg}")
return error_msg
def translate_to_english(text: str) -> str:
"""νκΈ ν
μ€νΈλ₯Ό μμ΄λ‘ λ²μ (LLM μ¬μ©)"""
if not any(ord('κ°') <= ord(char) <= ord('ν£') for char in text):
return text
print(f"[λ²μ] νκΈ κ°μ§, μμ΄λ‘ λ²μ μμ")
url = "https://api.friendli.ai/dedicated/v1/chat/completions"
headers = {
"Authorization": f"Bearer {FRIENDLI_TOKEN}",
"Content-Type": "application/json"
}
payload = {
"model": "dep89a2fld32mcm",
"messages": [
{
"role": "system",
"content": "You are a translator. Translate the given Korean text to English. Only return the translation without any explanation."
},
{
"role": "user",
"content": text
}
],
"max_tokens": 500,
"top_p": 0.8,
"stream": False
}
try:
response = requests.post(url, json=payload, headers=headers, timeout=30)
if response.status_code == 200:
result = response.json()
translated = result['choices'][0]['message']['content'].strip()
print(f"[λ²μ] μλ£")
return translated
else:
print(f"[λ²μ] μ€ν¨, μλ³Έ μ¬μ©")
return text
except Exception as e:
print(f"[λ²μ] μ€λ₯: {str(e)}, μλ³Έ μ¬μ©")
return text
def generate_image(prompt: str, seed: int = 10, slide_info: str = "") -> Tuple[Image.Image, str]:
"""Replicate APIλ₯Ό μ¬μ©ν΄ μ΄λ―Έμ§ μμ±"""
print(f"\n[μ΄λ―Έμ§ μμ±] {slide_info}")
print(f"[μ΄λ―Έμ§ μμ±] ν둬ννΈ: {prompt[:50]}...")
try:
english_prompt = translate_to_english(prompt)
if not REPLICATE_API_TOKEN:
error_msg = "RAPI_TOKEN νκ²½λ³μκ° μ€μ λμ§ μμμ΅λλ€."
print(f"[μ΄λ―Έμ§ μμ±] μ€λ₯: {error_msg}")
return None, error_msg
print(f"[μ΄λ―Έμ§ μμ±] Replicate API νΈμΆ μ€...")
client = replicate.Client(api_token=REPLICATE_API_TOKEN)
input_params = {
"seed": seed,
"prompt": english_prompt,
"speed_mode": "Extra Juiced π (even more speed)",
"output_quality": 100
}
start_time = time.time()
output = client.run(
"prunaai/hidream-l1-fast:17c237d753218fed0ed477cb553902b6b75735f48c128537ab829096ef3d3645",
input=input_params
)
elapsed = time.time() - start_time
print(f"[μ΄λ―Έμ§ μμ±] API μλ΅ λ°μ ({elapsed:.1f}μ΄)")
if output:
if isinstance(output, str) and output.startswith('http'):
print(f"[μ΄λ―Έμ§ μμ±] URLμμ μ΄λ―Έμ§ λ€μ΄λ‘λ μ€...")
response = requests.get(output, timeout=30)
img = Image.open(BytesIO(response.content))
print(f"[μ΄λ―Έμ§ μμ±] μλ£!")
return img, english_prompt
else:
print(f"[μ΄λ―Έμ§ μμ±] λ°μ΄λ리 λ°μ΄ν° μ²λ¦¬ μ€...")
img = Image.open(BytesIO(output.read()))
print(f"[μ΄λ―Έμ§ μμ±] μλ£!")
return img, english_prompt
else:
error_msg = "μ΄λ―Έμ§ μμ± μ€ν¨ - λΉ μλ΅"
print(f"[μ΄λ―Έμ§ μμ±] {error_msg}")
return None, error_msg
except Exception as e:
error_msg = f"μ€λ₯: {str(e)}"
print(f"[μ΄λ―Έμ§ μμ±] {error_msg}")
print(f"[μ΄λ―Έμ§ μμ±] μμΈ μ€λ₯:\n{traceback.format_exc()}")
return None, error_msg
def create_slide_preview_html(slide_data: Dict) -> str:
"""16:9 λΉμ¨μ μ¬λΌμ΄λ ν리뷰 HTML μμ±"""
# μ΄λ―Έμ§λ₯Ό base64λ‘ μΈμ½λ©
img_base64 = ""
if slide_data.get("image"):
buffered = BytesIO()
slide_data["image"].save(buffered, format="PNG")
img_base64 = base64.b64encode(buffered.getvalue()).decode()
# ν
μ€νΈ λ΄μ© κ°μ Έμ€κΈ°
subtitle = slide_data.get("subtitle", "")
bullet_points = slide_data.get("bullet_points", [])
# HTML μμ±
html = f"""
<div class="slide-container" style="
width: 100%;
max-width: 1200px;
margin: 20px auto;
background: white;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
overflow: hidden;
">
<div class="slide-header" style="
background: #2c3e50;
color: white;
padding: 15px 30px;
font-size: 18px;
font-weight: bold;
">
μ¬λΌμ΄λ {slide_data.get('slide_number', '')}: {slide_data.get('title', '')}
</div>
<div class="slide-content" style="
display: flex;
height: 0;
padding-bottom: 56.25%; /* 16:9 λΉμ¨ */
position: relative;
">
<div class="slide-inner" style="
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
display: flex;
">
<!-- ν
μ€νΈ μμ (μ’μΈ‘) -->
<div class="text-area" style="
flex: 1;
padding: 40px;
display: flex;
flex-direction: column;
justify-content: center;
background: #f8f9fa;
">
<h2 style="
color: #2c3e50;
font-size: 28px;
margin-bottom: 30px;
font-weight: 600;
">{subtitle}</h2>
<ul style="
list-style: none;
padding: 0;
margin: 0;
">
"""
for point in bullet_points:
html += f"""
<li style="
margin-bottom: 15px;
padding-left: 25px;
position: relative;
color: #34495e;
font-size: 16px;
line-height: 1.6;
">
<span style="
position: absolute;
left: 0;
color: #3498db;
">βΆ</span>
{point.replace('β’', '').strip()}
</li>
"""
html += f"""
</ul>
</div>
<!-- μ΄λ―Έμ§ μμ (μ°μΈ‘) -->
<div class="image-area" style="
flex: 1;
background: #e9ecef;
display: flex;
align-items: center;
justify-content: center;
padding: 20px;
">
"""
if img_base64:
html += f"""
<img src="data:image/png;base64,{img_base64}" style="
max-width: 100%;
max-height: 100%;
object-fit: contain;
border-radius: 4px;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
" alt="Slide Image">
"""
else:
html += """
<div style="
color: #6c757d;
text-align: center;
">
<div style="font-size: 48px;">πΌοΈ</div>
<p>μ΄λ―Έμ§ μμ± μ€...</p>
</div>
"""
html += """
</div>
</div>
</div>
</div>
"""
return html
def generate_ppt_with_content(topic: str, template_name: str, custom_slides: List[Dict], seed: int, progress=gr.Progress()):
"""PPT μ΄λ―Έμ§μ ν
μ€νΈ λ΄μ©μ ν¨κ» μμ±"""
results = []
preview_html = ""
# ν
νλ¦Ώ μ ν
if template_name == "μ¬μ©μ μ μ" and custom_slides:
slides = custom_slides
else:
slides = PPT_TEMPLATES[template_name]["slides"]
if not slides:
yield "", "μ¬λΌμ΄λκ° μ μλμ§ μμμ΅λλ€."
return
total_slides = len(slides)
print(f"\n[PPT μμ±] μμ - μ΄ {total_slides}κ° μ¬λΌμ΄λ")
print(f"[PPT μμ±] μ£Όμ : {topic}")
print(f"[PPT μμ±] ν
νλ¦Ώ: {template_name}")
# CSS μ€νμΌ μΆκ°
preview_html = """
<style>
.slides-container {
width: 100%;
max-width: 1400px;
margin: 0 auto;
}
</style>
<div class="slides-container">
"""
# κ° μ¬λΌμ΄λ μμ°¨ μ²λ¦¬
for i, slide in enumerate(slides):
progress((i + 1) / (total_slides + 1), f"μ¬λΌμ΄λ {i+1}/{total_slides} μ²λ¦¬ μ€...")
slide_info = f"μ¬λΌμ΄λ {i+1}: {slide['title']}"
# ν
μ€νΈ λ΄μ© μμ±
slide_context = f"{slide['title']} - {slide.get('prompt_hint', '')}"
content = generate_slide_content(topic, slide['title'], slide_context)
# ν둬ννΈ μμ± λ° μ΄λ―Έμ§ μμ±
style_key = slide["style"]
if style_key in STYLE_TEMPLATES:
style_info = STYLE_TEMPLATES[style_key]
prompt = generate_prompt_with_llm(topic, style_info["example"], slide_context)
# μ΄λ―Έμ§ μμ±
slide_seed = seed + i
img, used_prompt = generate_image(prompt, slide_seed, slide_info)
# μ¬λΌμ΄λ λ°μ΄ν° ꡬμ±
slide_data = {
"slide_number": i + 1,
"title": slide["title"],
"subtitle": content["subtitle"],
"bullet_points": content["bullet_points"],
"image": img,
"style": style_info["name"]
}
# ν리뷰 HTML μμ±
preview_html += create_slide_preview_html(slide_data)
# νμ¬κΉμ§μ μν μ
λ°μ΄νΈ
yield preview_html + "</div>", f"### π {slide_info} μμ± μ€..."
results.append({
"slide_data": slide_data,
"success": img is not None
})
# μ΅μ’
κ²°κ³Ό
preview_html += "</div>"
progress(1.0, "μλ£!")
successful = sum(1 for r in results if r["success"])
final_status = f"### π μμ± μλ£! μ΄ {total_slides}κ° μ¬λΌμ΄λ μ€ {successful}κ° μ±κ³΅"
yield preview_html, final_status
def create_custom_slides_ui():
"""μ¬μ©μ μ μ μ¬λΌμ΄λ κ΅¬μ± UI"""
slides = []
for i in range(10):
with gr.Row():
with gr.Column(scale=2):
title = gr.Textbox(
label=f"μ¬λΌμ΄λ {i+1} μ λͺ©",
placeholder="μ: νμ§, λͺ©μ°¨, νν© λΆμ...",
visible=(i < 3)
)
with gr.Column(scale=3):
style = gr.Dropdown(
choices=list(STYLE_TEMPLATES.keys()),
label=f"μ€νμΌ μ ν",
visible=(i < 3)
)
with gr.Column(scale=3):
hint = gr.Textbox(
label=f"ν둬ννΈ ννΈ",
placeholder="μ΄ μ¬λΌμ΄λμμ νννκ³ μΆμ λ΄μ©",
visible=(i < 3)
)
slides.append({"title": title, "style": style, "hint": hint})
return slides
# Gradio μΈν°νμ΄μ€ μμ±
with gr.Blocks(title="PPT μ΄λ―Έμ§ μμ±κΈ°", theme=gr.themes.Soft(), css="""
.preview-container { max-width: 1400px; margin: 0 auto; }
""") as demo:
gr.Markdown("""
# π― AI κΈ°λ° PPT ν΅ν© μμ±κΈ°
### ν
μ€νΈμ μ΄λ―Έμ§κ° μλ²½νκ² μ‘°νλ νλ μ ν
μ΄μ
μ μλμΌλ‘ μμ±ν©λλ€!
""")
# API ν ν° μν νμΈ
if not REPLICATE_API_TOKEN:
gr.Markdown("β οΈ **κ²½κ³ **: RAPI_TOKEN νκ²½ λ³μκ° μ€μ λμ§ μμμ΅λλ€.")
if not FRIENDLI_TOKEN:
gr.Markdown("β οΈ **κ²½κ³ **: FRIENDLI_TOKEN νκ²½ λ³μκ° μ€μ λμ§ μμμ΅λλ€.")
with gr.Row():
with gr.Column(scale=1):
# κΈ°λ³Έ μ
λ ₯
topic_input = gr.Textbox(
label="νλ μ ν
μ΄μ
μ£Όμ ",
placeholder="μ: AI μ€ννΈμ
ν¬μ μ μΉ, μ μ ν λ°μΉ, λμ§νΈ μ ν μ λ΅",
lines=2
)
# PPT ν
νλ¦Ώ μ ν
template_select = gr.Dropdown(
choices=list(PPT_TEMPLATES.keys()),
label="PPT ν
νλ¦Ώ μ ν",
value="λΉμ¦λμ€ μ μμ",
info="λͺ©μ μ λ§λ ν
νλ¦Ώμ μ ννμΈμ"
)
# ν
νλ¦Ώ μ€λͺ
template_info = gr.Markdown()
# μλ κ°
seed_input = gr.Slider(
minimum=1,
maximum=100,
value=10,
step=1,
label="μλ κ°"
)
generate_btn = gr.Button("π PPT μ 체 μμ± (ν
μ€νΈ + μ΄λ―Έμ§)", variant="primary", size="lg")
# μ¬μ©μ μ μ μΉμ
with gr.Accordion("π μ¬μ©μ μ μ μ¬λΌμ΄λ ꡬμ±", open=False) as custom_accordion:
gr.Markdown("ν
νλ¦Ώμ μ¬μ©νμ§ μκ³ μ§μ μ¬λΌμ΄λλ₯Ό ꡬμ±νμΈμ.")
custom_slides_components = create_custom_slides_ui()
# μν νμ
status_output = gr.Markdown(
value="### π ν
νλ¦Ώμ μ ννκ³ μμ± λ²νΌμ ν΄λ¦νμΈμ!"
)
# ν리뷰 μμ
preview_output = gr.HTML(
label="PPT ν리뷰 (16:9)",
elem_classes="preview-container"
)
# νμ© ν
gr.Markdown("""
---
### π‘ μλ‘μ΄ κΈ°λ₯:
1. **μλ ν
μ€νΈ μμ±**: κ° μ¬λΌμ΄λλ§λ€ μ μ ν μ λͺ©κ³Ό 5κ°μ ν΅μ¬ ν¬μΈνΈ μλ μμ±
2. **16:9 ν리뷰**: μ€μ PPTμ λμΌν λΉμ¨λ‘ 미리보기
3. **μ’μ° λ μ΄μμ**: μ’μΈ‘ ν
μ€νΈ, μ°μΈ‘ μ΄λ―Έμ§λ‘ κΉλν ꡬμ±
4. **μ€μκ° μ
λ°μ΄νΈ**: κ° μ¬λΌμ΄λκ° μμ±λ λλ§λ€ μ¦μ νμΈ
### π νμ© ν:
- μμ±λ λ΄μ©μ 볡μ¬νμ¬ μ€μ PPTμ λ°λ‘ μ¬μ© κ°λ₯
- κ° μ¬λΌμ΄λμ ν
μ€νΈμ μ΄λ―Έμ§κ° μ£Όμ μ λ§κ² μλ μ‘°μ¨
- νκΈ μ£Όμ μ
λ ₯ μ νκΈλ‘ ν
μ€νΈ μμ±
""")
# μ΄λ²€νΈ νΈλ€λ¬
def update_template_info(template_name):
if template_name in PPT_TEMPLATES:
template = PPT_TEMPLATES[template_name]
info = f"**{template['description']}**\n\nν¬ν¨λ μ¬λΌμ΄λ:\n"
for i, slide in enumerate(template['slides']):
info += f"{i+1}. {slide['title']} - {STYLE_TEMPLATES[slide['style']]['use_case']}\n"
return info
return ""
def generate_ppt_handler(topic, template_name, seed, progress=gr.Progress(), *custom_inputs):
if not topic.strip():
yield "", "β μ£Όμ λ₯Ό μ
λ ₯ν΄μ£ΌμΈμ."
return
# μ¬μ©μ μ μ μ¬λΌμ΄λ μ²λ¦¬
custom_slides = []
if template_name == "μ¬μ©μ μ μ":
for i in range(0, len(custom_inputs), 3):
title = custom_inputs[i]
style = custom_inputs[i+1] if i+1 < len(custom_inputs) else None
hint = custom_inputs[i+2] if i+2 < len(custom_inputs) else ""
if title and style:
custom_slides.append({
"title": title,
"style": style,
"prompt_hint": hint
})
# PPT μμ±
for preview, status in generate_ppt_with_content(topic, template_name, custom_slides, seed, progress):
yield preview, status
# μ΄λ²€νΈ μ°κ²°
template_select.change(
fn=update_template_info,
inputs=[template_select],
outputs=[template_info]
)
# μ¬μ©μ μ μ μ
λ ₯ μμ§
all_custom_inputs = []
for slide_components in custom_slides_components:
all_custom_inputs.extend([
slide_components["title"],
slide_components["style"],
slide_components["hint"]
])
generate_btn.click(
fn=generate_ppt_handler,
inputs=[topic_input, template_select, seed_input] + all_custom_inputs,
outputs=[preview_output, status_output]
)
# μ΄κΈ° ν
νλ¦Ώ μ 보 νμ
demo.load(
fn=update_template_info,
inputs=[template_select],
outputs=[template_info]
)
# μ± μ€ν
if __name__ == "__main__":
print("\n" + "="*50)
print("π PPT ν΅ν© μμ±κΈ° μμ!")
print("="*50)
# νκ²½ λ³μ νμΈ
if not REPLICATE_API_TOKEN:
print("β οΈ κ²½κ³ : RAPI_TOKEN νκ²½ λ³μκ° μ€μ λμ§ μμμ΅λλ€.")
else:
print("β
RAPI_TOKEN νμΈλ¨")
if not FRIENDLI_TOKEN:
print("β οΈ κ²½κ³ : FRIENDLI_TOKEN νκ²½ λ³μκ° μ€μ λμ§ μμμ΅λλ€.")
else:
print("β
FRIENDLI_TOKEN νμΈλ¨")
print("="*50 + "\n")
demo.launch() |