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| import gradio as gr | |
| import requests | |
| from urllib.parse import urlparse | |
| try: | |
| from groq import Groq | |
| except ImportError: | |
| print("Error: The Groq Python client is required. Install with 'pip install groq'") | |
| def extract_repo_id(repo_input): | |
| if repo_input.startswith(("http://", "https://")): | |
| parsed = urlparse(repo_input) | |
| path = parsed.path.strip("/") | |
| parts = path.split("/") | |
| if len(parts) >= 2: | |
| return f"{parts[0]}/{parts[1]}" | |
| return None | |
| else: | |
| if "/" in repo_input: | |
| return repo_input | |
| return None | |
| def get_repo_info(repo_id): | |
| try: | |
| # Try model endpoint | |
| model_response = requests.get(f"https://huggingface.co/api/models/{repo_id}") | |
| if model_response.status_code == 200: | |
| return model_response.json(), "model" | |
| # Try dataset endpoint | |
| dataset_response = requests.get(f"https://huggingface.co/api/datasets/{repo_id}") | |
| if dataset_response.status_code == 200: | |
| return dataset_response.json(), "dataset" | |
| return None, None | |
| except Exception as e: | |
| print(f"Error fetching repo info: {e}") | |
| return None, None | |
| def generate_readme(repo_input, api_key): | |
| try: | |
| # Validate and extract repo ID | |
| repo_id = extract_repo_id(repo_input) | |
| if not repo_id: | |
| return "Invalid repository format. Please use 'user/repo' or a Hugging Face URL" | |
| # Get repository information | |
| repo_info, repo_type = get_repo_info(repo_id) | |
| if not repo_info: | |
| return "Repository not found or inaccessible" | |
| # Prepare prompt for Groq | |
| prompt = f"""Generate a professional README.md for the Hugging Face {repo_type} repository {repo_id}. | |
| Use the following information: | |
| - Author: {repo_info.get('author', 'Unknown')} | |
| - Description: {repo_info.get('description', 'No description')} | |
| - Tags: {', '.join(repo_info.get('tags', []))} | |
| - License: {repo_info.get('license', 'Unknown')} | |
| Include these sections: | |
| 1. Overview | |
| 2. Installation | |
| 3. Usage | |
| 4. Examples | |
| 5. License | |
| 6. Citation (if applicable) | |
| Format the README in proper Markdown with code blocks where appropriate.""" | |
| # Initialize Groq client | |
| client = Groq(api_key=os.environ.get("GROQ_API_KEY")) | |
| # Generate completion | |
| completion = client.chat.completions.create( | |
| messages=[{"role": "user", "content": prompt}], | |
| model="mixtral-8x7b-32768", | |
| temperature=0.3, | |
| max_tokens=1024 | |
| ) | |
| return completion.choices[0].message.content | |
| except Exception as e: | |
| return f"Error generating README: {str(e)}" | |
| with gr.Blocks(title="HF Repo README Generator") as demo: | |
| gr.Markdown("# 🚀 Hugging Face Repository README Generator") | |
| with gr.Row(): | |
| with gr.Column(): | |
| repo_input = gr.Textbox( | |
| label="Hugging Face Repository URL or ID", | |
| placeholder="Enter 'user/repo' or full URL...", | |
| max_lines=1 | |
| ) | |
| api_key = gr.Textbox( | |
| label="Groq API Key", | |
| type="password", | |
| placeholder="Enter your Groq API key..." | |
| ) | |
| submit_btn = gr.Button("Generate README", variant="primary") | |
| with gr.Row(): | |
| output = gr.Markdown(label="Generated README") | |
| submit_btn.click( | |
| fn=generate_readme, | |
| inputs=[repo_input, api_key], | |
| outputs=output | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() |