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| license: apache-2.0 | |
| title: AI Workflow Analyzer | |
| sdk: streamlit | |
| emoji: 📊 | |
| colorFrom: purple | |
| colorTo: blue | |
| short_description: An AI-powered tool that analyzes workflows, identifies ineff | |
| python_version: 3.11 | |
| sdk_version: 1.55.0 | |
| # AI Workflow Analyzer | |
| An AI-powered tool that analyzes workflows, identifies inefficiencies, and suggests automation opportunities using Large Language Models. | |
| ## Overview | |
| This project helps teams understand and improve their internal processes by leveraging AI. Users can input a workflow description, and the system returns a structured analysis including problems, automation opportunities, and AI-driven solutions. | |
| ## Features | |
| - Analyze workflows in real time | |
| - Identify inefficiencies and bottlenecks | |
| - Suggest AI-based automation strategies | |
| - Generate prototype ideas for implementation | |
| - Export analysis as a Markdown (.md) file | |
| - Simple and interactive UI using Streamlit | |
| ## Demo | |
| [Live demo](https://huggingface.co/spaces/YamenRM/workflow-analyzer) | |
| Users can: | |
| 1. Enter a workflow description | |
| 2. Receive structured AI analysis | |
| 3. Download the results as a Markdown report | |
| ## Example Input | |
| - Our engineering team manually reviews logs and writes daily summaries. This process is slow and inconsistent. | |
| ## Example Output | |
| - **Problems** | |
| - Manual and repetitive work | |
| - Time-consuming process | |
| - Inconsistent results | |
| - **Automation Opportunities** | |
| - Automate log summarization | |
| - Standardize reporting | |
| - **AI Solution** | |
| - Use an LLM to extract key insights and generate summaries | |
| - **Prototype Idea** | |
| - Python script that processes logs and generates summaries using an AI API | |
| ## Tech Stack | |
| - Python | |
| - Streamlit | |
| - Google Gemini API (LLM) | |
| ## Project Structure | |
| ``` | |
| src/ | |
| ├── main.py | |
| ├── analyzer.py | |
| ├── prompts.py | |
| ``` | |
| ## Installation | |
| ```bash | |
| git clone https://github.com/YamenRM/workflow-analyzer.git | |
| cd workflow-analyzer | |
| pip install -r requirements.txt | |
| ``` | |
| ## Setup | |
| Set your API key as an environment variable: | |
| - Windows (PowerShell) | |
| ``` | |
| setx GEMINI_API_KEY "your_api_key_here" | |
| ``` | |
| - Linux / macOS | |
| ``` | |
| export GEMINI_API_KEY="your_api_key_here" | |
| ``` | |
| ### Run the App | |
| ``` | |
| streamlit run main.py | |
| ``` | |
| ## Use Cases | |
| - Engineering workflow optimization | |
| - AI adoption analysis | |
| - Process automation planning | |
| - Internal tooling prototyping | |
| ## Future Improvements | |
| - Structured JSON output | |
| - Workflow visualization (diagrams) | |
| - History tracking of analyses | |
| - Multi-workflow comparison | |
| - Integration with team tools (e.g., GitLab, Notion) | |
| ##Author | |
| **YamenRM** |