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| title: Environmental AI Toolkit | |
| sdk: gradio | |
| emoji: 🌍 | |
| colorFrom: green | |
| colorTo: blue | |
| app_file: app.py | |
| pinned: false | |
| # 🌍 Environmental AI Toolkit | |
| 🚀 A Hugging Face + Gradio app that combines **10 powerful AI models** across **NLP, Vision, and Speech** — designed to analyze, generate, and explore **environmental content** in one interactive toolkit. | |
| --- | |
| ## ✨ Features | |
| ### 📝 Natural Language Processing (NLP) | |
| - 🗂️ **Sentence Classification** → Categorize environmental text (e.g., climate change, pollution, conservation) | |
| - 🏷️ **Named Entity Recognition (NER)** → Extract rivers, species, pollutants, and locations from text | |
| - ✍️ **Fill-in-the-Blank** → Complete environmental sentences with context-aware suggestions | |
| - ❓ **Question Answering** → Ask environment-related questions and get accurate answers | |
| ### 🖼️ Vision | |
| - 🖼️ **Image Classification** → Identify categories in environmental images | |
| - 🔍 **Object Detection** → Detect people, trees, cars, animals in environmental scenes | |
| - 🎭 **Segmentation** → Segment images into sky, water, land, vegetation, and more | |
| - 🎨 **Text-to-Image Generation** → Create environmental scene images from text prompts (e.g., “rainy forest with elephants”) | |
| ### 🎤 Speech | |
| - 🎙️ **Speech Recognition (ASR)** → Transcribe environmental talks or lectures | |
| - 🔊 **Text-to-Speech (TTS)** → Convert environmental text into natural audio narration | |
| --- | |
| ## 🛠️ Tech Stack | |
| - 🤖 [Transformers](https://huggingface.co/docs/transformers/index) → NLP & Vision models | |
| - 🎨 [Diffusers](https://huggingface.co/docs/diffusers/index) → Image generation | |
| - 🎛️ [Gradio](https://www.gradio.app/) → Interactive UI | |
| - ⚡ [PyTorch](https://pytorch.org/) → Deep learning framework | |
| - 🌐 [Hugging Face Spaces](https://huggingface.co/spaces) → Deployment | |
| --- | |
| ## 🚀 How to Use | |
| 1. Select a **task tab** (NLP, Vision, or Speech). | |
| 2. Enter text, upload an image, or record audio depending on the task. | |
| 3. Click **Run** → get instant AI-powered results! | |
| --- | |
| ## 📸 Example Use Cases | |
| - 🌆 Generate images of **sustainable cities with solar panels** | |
| - 🐘 Extract **species names** from environmental reports | |
| - 🌱 Classify tweets about **climate change & conservation** | |
| - 🎧 Convert environmental text into **podcast-style narration** | |
| - 🌳 Ask: *“What are the effects of deforestation?”* and get contextual answers | |
| --- | |
| ## 💡 Why This Project? | |
| Environmental awareness requires **multi-modal AI tools**. This toolkit brings together **language, vision, and speech models** to support **education, research, and creative sustainability projects**. | |
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| ## 📂 Repository Structure |