Update README.md

README.md

@@ -1,13 +1,54 @@
 ---
-title: Street Descriptions Using MuniVis Model
-emoji: 🐨
-colorFrom: purple
+title: Street Descriptions using MuniVis
+emoji: 🛣️
+colorFrom: indigo
 colorTo: blue
 sdk: gradio
-sdk_version: 5.41.1
+sdk_version: 5.26.0
 app_file: app.py
 pinned: false
-license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🛣️ Street Descriptions using MuniVis Model
+
+This Space provides a simple Gradio interface for generating image captions using a fine-tuned BLIP model hosted at [`saja003/MuniVis`](https://huggingface.co/saja003/MuniVis). It also includes the option to translate the generated English captions into Arabic using a MarianMT translation model.
+
+---
+
+## 🔍 Features
+
+- 🧠 Image captioning with a fine-tuned BLIP model.
+- 🌐 Language selection: English or Arabic.
+- 📸 Upload any street or urban image to generate a descriptive caption.
+- 🤖 Translation powered by [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar).
+
+---
+
+## 🚀 How it works
+
+1. Upload an image.
+2. Select a language (English or Arabic).
+3. Receive a descriptive caption of the scene.
+   - If Arabic is selected, the caption is translated automatically.
+
+---
+
+## 🧠 Models Used
+
+- **BLIP (Bootstrapping Language Image Pretraining):**
+  - Fine-tuned on street and infrastructure images.
+  - Model repo: [`Projectt123/MuniVis`](https://huggingface.co/Projectt123/MuniVis)
+- **MarianMT Translation Model:**
+  - [`Helsinki-NLP/opus-mt-en-ar`](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) for English to Arabic translation.
+
+---
+
+## 🛠️ Requirements
+
+This Space uses the following libraries:
+
+```bash
+transformers
+torch
+gradio
+Pillow