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import gradio as gr | |
import requests | |
import json | |
def generate_markdown(topic, chat_history): | |
headers = { | |
"Authorization": f"Bearer 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", | |
"Content-Type": "application/json" | |
} | |
payload = { | |
"model": "google/gemini-2.5-pro-preview-03-25", | |
"messages": [ | |
{ | |
"role": "user", | |
"content": f"Generate a comprehensive markdown formatted article about {topic}. Include headings, subheadings, bullet points, and code blocks where appropriate." | |
} | |
] | |
} | |
response = requests.post( | |
"https://openrouter.ai/api/v1/chat/completions", | |
headers=headers, | |
data=json.dumps(payload) | |
if response.status_code == 200: | |
markdown_content = response.json()['choices'][0]['message']['content'] | |
chat_history.append(((topic,), (markdown_content,))) | |
return markdown_content, chat_history | |
with gr.Blocks(title="Markdown Studio") as demo: | |
gr.Markdown("# Markdown Studio") | |
gr.Markdown("Enter a topic to generate a markdown article. You can edit the content and download it.") | |
with gr.Row(): | |
with gr.Column(scale=1): | |
topic_input = gr.Textbox(label="Enter Topic", placeholder="e.g., Quantum Computing") | |
generate_btn = gr.Button("Generate Markdown", variant="primary") | |
chatbot = gr.Chatbot(label="Chat History", height=300) | |
clear_chat = gr.Button("Clear Chat") | |
with gr.Column(scale=2): | |
markdown_editor = gr.Code(label="Markdown Editor", language="markdown", interactive=True) | |
download_btn = gr.Button("Download as .md") | |
preview = gr.Markdown(label="Preview") | |
# Event handlers | |
generate_btn.click( | |
fn=generate_markdown, | |
inputs=[topic_input, chatbot], | |
outputs=[markdown_editor, chatbot] | |
) | |
markdown_editor.change( | |
fn=lambda x: x, | |
inputs=markdown_editor, | |
outputs=preview | |
) | |
download_btn.click( | |
fn=lambda x: x, | |
inputs=markdown_editor, | |
outputs=gr.File(label="Download Markdown", value=lambda x: ("generated.md", x)) | |
) | |
clear_chat.click( | |
fn=lambda: [], | |
inputs=None, | |
outputs=chatbot, | |
queue=False | |
) | |
if __name__ == "__main__": | |
demo.launch() |