Spaces:
Sleeping
Sleeping
Create README.md
Browse files
README.md
CHANGED
|
@@ -1,13 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
-
|
|
|
|
| 1 |
+
# π Environmental AI Toolkit
|
| 2 |
+
|
| 3 |
+
π A Hugging Face + Gradio app that combines **10 powerful AI models** across **NLP, Vision, and Speech** β designed to analyze, generate, and explore **environmental content** in one interactive toolkit.
|
| 4 |
+
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
## β¨ Features
|
| 8 |
+
|
| 9 |
+
### π Natural Language Processing (NLP)
|
| 10 |
+
- ποΈ **Sentence Classification** β Categorize environmental text (e.g., climate change, pollution, conservation)
|
| 11 |
+
- π·οΈ **Named Entity Recognition (NER)** β Extract rivers, species, pollutants, and locations from text
|
| 12 |
+
- βοΈ **Fill-in-the-Blank** β Complete environmental sentences with context-aware suggestions
|
| 13 |
+
- β **Question Answering** β Ask environment-related questions and get accurate answers
|
| 14 |
+
|
| 15 |
+
### πΌοΈ Vision
|
| 16 |
+
- πΌοΈ **Image Classification** β Identify categories in environmental images
|
| 17 |
+
- π **Object Detection** β Detect people, trees, cars, animals in environmental scenes
|
| 18 |
+
- π **Segmentation** β Segment images into sky, water, land, vegetation, and more
|
| 19 |
+
- π¨ **Text-to-Image Generation** β Create environmental scene images from text prompts (e.g., βrainy forest with elephantsβ)
|
| 20 |
+
|
| 21 |
+
### π€ Speech
|
| 22 |
+
- ποΈ **Speech Recognition (ASR)** β Transcribe environmental talks or lectures
|
| 23 |
+
- π **Text-to-Speech (TTS)** β Convert environmental text into natural audio narration
|
| 24 |
+
|
| 25 |
---
|
| 26 |
+
|
| 27 |
+
## π οΈ Tech Stack
|
| 28 |
+
- π€ [Transformers](https://huggingface.co/docs/transformers/index) β NLP & Vision models
|
| 29 |
+
- π¨ [Diffusers](https://huggingface.co/docs/diffusers/index) β Image generation
|
| 30 |
+
- ποΈ [Gradio](https://www.gradio.app/) β Interactive UI
|
| 31 |
+
- β‘ [PyTorch](https://pytorch.org/) β Deep learning framework
|
| 32 |
+
- π [Hugging Face Spaces](https://huggingface.co/spaces) β Deployment
|
| 33 |
+
|
| 34 |
+
---
|
| 35 |
+
|
| 36 |
+
## π How to Use
|
| 37 |
+
1. Select a **task tab** (NLP, Vision, or Speech).
|
| 38 |
+
2. Enter text, upload an image, or record audio depending on the task.
|
| 39 |
+
3. Click **Run** β get instant AI-powered results!
|
| 40 |
+
|
| 41 |
+
---
|
| 42 |
+
|
| 43 |
+
## πΈ Example Use Cases
|
| 44 |
+
- π Generate images of **sustainable cities with solar panels**
|
| 45 |
+
- π Extract **species names** from environmental reports
|
| 46 |
+
- π± Classify tweets about **climate change & conservation**
|
| 47 |
+
- π§ Convert environmental text into **podcast-style narration**
|
| 48 |
+
- π³ Ask: *βWhat are the effects of deforestation?β* and get contextual answers
|
| 49 |
+
|
| 50 |
+
---
|
| 51 |
+
|
| 52 |
+
## π‘ Why This Project?
|
| 53 |
+
Environmental awareness requires **multi-modal AI tools**. This toolkit brings together **language, vision, and speech models** to support **education, research, and creative sustainability projects**.
|
| 54 |
+
|
| 55 |
---
|
| 56 |
|
| 57 |
+
## π Repository Structure
|