Update app.py
Browse files
app.py
CHANGED
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@@ -167,117 +167,151 @@ if __name__ == "__main__":
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import gradio as gr
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import os
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import time
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import tempfile
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import zipfile
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import requests
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import re
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from
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from PIL import Image
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from io import BytesIO
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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class
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def __init__(self):
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self.hf_token = os.getenv("HF_TOKEN")
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self.headers = {"Authorization": f"Bearer {self.hf_token}"}
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#
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self.image_url = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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text_prompt = f"""Create a comprehensive blog post about {topic} including:
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- SEO-optimized title
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- 3-5 sections with subtitles
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- 2-4 image placeholders [IMAGE:description]
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- Bullet points and statistics
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- Conclusion with call-to-action
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Use markdown formatting"""
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headers=self.headers,
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json={
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)
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raw_content = text_response.json()[0]['generated_text']
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# Generate images
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image_descriptions = re.findall(r'\[IMAGE:(.*?)\]', raw_content)
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images = {}
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temp_dir = tempfile.mkdtemp()
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for idx, desc in enumerate(image_descriptions):
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img_prompt = f"Blog image: {desc}, digital art, 8k resolution, trending on artstation"
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img_response = requests.post(
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self.image_url,
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headers=self.headers,
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json={"inputs":
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image = Image.open(BytesIO(img_response.content))
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img_path = Path(temp_dir) / f"image_{idx+1}.png"
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image.save(img_path)
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images[desc] = str(img_path)
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raw_content = raw_content.replace(f"[IMAGE:{desc}]", f"")
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time.sleep(1) # Rate limit protection
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def
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#
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return zip_path
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# Initialize
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# Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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gr.Markdown("#
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with gr.Row():
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with gr.Column():
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topic_input = gr.Textbox(label="Blog Topic", placeholder="Enter your topic...")
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generate_btn = gr.Button("Generate
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with gr.Column():
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gr.Markdown("##
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status = gr.Textbox(label="
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def
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try:
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return
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except Exception as e:
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return "",
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generate_btn.click(
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fn=
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inputs=topic_input,
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outputs=[
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api_name="generate_blog"
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)
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if __name__ == "__main__":
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import gradio as gr
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import os
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import time
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import requests
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import re
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from datetime import datetime
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from dotenv import load_dotenv
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from huggingface_hub import HfApi, Repository
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load_dotenv()
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class BlogCreator:
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def __init__(self):
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self.hf_token = os.getenv("HF_TOKEN")
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self.api = HfApi(token=self.hf_token)
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self.headers = {"Authorization": f"Bearer {self.hf_token}"}
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def generate_blog(self, topic):
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# Generate blog content
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blog_text = self._generate_text(topic)
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# Generate images
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image_urls = self._generate_images(blog_text)
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# Create hosted space
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space_url = self._create_hosted_blog(topic, blog_text, image_urls)
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return blog_text, space_url
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def _generate_text(self, topic):
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response = requests.post(
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"https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2",
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headers=self.headers,
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json={
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"inputs": f"Write a comprehensive blog about {topic} with markdown formatting and 3 image placeholders [IMAGE1], [IMAGE2], [IMAGE3]",
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"parameters": {"max_length": 2000}
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}
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)
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return response.json()[0]['generated_text']
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def _generate_images(self, content):
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image_prompts = re.findall(r'\[IMAGE\d+\]', content)
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image_urls = []
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for idx, _ in enumerate(image_prompts):
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response = requests.post(
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"https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
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headers=self.headers,
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json={"inputs": f"Professional blog image about {content[:100]}, digital art, 4k"}
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)
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img_url = f"https://huggingface.co/datasets/username/blogs/raw/main/image_{idx}.png"
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self.api.upload_file(
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path_or_fileobj=response.content,
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path_in_repo=f"image_{idx}.png",
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repo_id="username/blogs",
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repo_type="dataset"
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)
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image_urls.append(img_url)
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time.sleep(1)
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return image_urls
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def _create_hosted_blog(self, topic, content, image_urls):
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# Create formatted HTML
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repo_name = f"blog-{topic.lower().replace(' ', '-')}-{int(time.time())}"
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html_content = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<title>{topic}</title>
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<style>
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body {{ max-width: 800px; margin: 0 auto; padding: 20px; font-family: Arial, sans-serif; }}
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img {{ width: 100%; border-radius: 10px; margin: 20px 0; }}
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h1 {{ color: #2c3e50; }}
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.header {{ text-align: center; padding: 40px 0; }}
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</style>
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</head>
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<body>
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<div class="header">
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<h1>{topic}</h1>
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<p>Generated on {datetime.now().strftime("%B %d, %Y")}</p>
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</div>
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{self._format_content(content, image_urls)}
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</body>
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</html>
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"""
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# Create and host Space
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self.api.create_repo(
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repo_id=repo_name,
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repo_type="space",
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space_sdk="static"
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)
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self.api.upload_file(
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path_or_fileobj=html_content.encode(),
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path_in_repo="index.html",
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repo_id=f"username/{repo_name}",
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repo_type="space"
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)
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return f"https://huggingface.co/spaces/username/{repo_name}"
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def _format_content(self, content, image_urls):
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# Replace image placeholders with actual URLs
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for idx, url in enumerate(image_urls):
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content = content.replace(f"[IMAGE{idx+1}]", f'<img src="{url}" alt="Blog Image {idx+1}">')
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# Convert markdown to HTML
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content = content.replace("\n", "<br>")
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content = re.sub(r"### (.*?)", r"<h3>\1</h3>", content)
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content = re.sub(r"## (.*?)", r"<h2>\1</h2>", content)
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content = re.sub(r"\*\*(.*?)\*\*", r"<strong>\1</strong>", content)
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return content
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# Initialize blog creator
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creator = BlogCreator()
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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gr.Markdown("# 🌐 AI Blog Publisher")
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with gr.Row():
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with gr.Column():
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topic_input = gr.Textbox(label="Blog Topic", placeholder="Enter your topic...")
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generate_btn = gr.Button("Generate & Publish", variant="primary")
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with gr.Column():
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gr.Markdown("## Generated Content")
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blog_preview = gr.Markdown()
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space_link = gr.Markdown("**Hosted Blog URL:** Waiting for generation...")
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status = gr.Textbox(label="Status")
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def process_request(topic):
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try:
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blog_text, url = creator.generate_blog(topic)
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return (
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blog_text,
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f"**Hosted Blog URL:** [Click to View]({url})",
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"✅ Blog published successfully!"
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)
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except Exception as e:
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return "", "❌ Error generating blog", str(e)
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generate_btn.click(
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fn=process_request,
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inputs=topic_input,
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outputs=[blog_preview, space_link, status]
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)
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if __name__ == "__main__":
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