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