README.md

metadata

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.

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✨ 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

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🛠️ Tech Stack

• 🤖 Transformers → NLP & Vision models
• 🎨 Diffusers → Image generation
• 🎛️ Gradio → Interactive UI
• ⚡ PyTorch → Deep learning framework
• 🌐 Hugging Face Spaces → Deployment

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🚀 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!

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📸 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

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💡 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