Updated README.md for sentiment analysis of multi-domain reviews

README.md

@@ -1,5 +1,5 @@
 ---
-title: Sentiment Analysis
+title: Multi-Domain Sentiment Analysis
 emoji: 😻
 colorFrom: gray
 colorTo: yellow
@@ -10,7 +10,6 @@ pinned: false
 license: apache-2.0
 short_description: Sentiment Analysis of reviews using Hugging Face Transformer
 ---
-
 # 📝 Multi-Domain Sentiment Analysis
 
 This project is a **Multi-Domain Sentiment Analysis Application** built using [Gradio](https://www.gradio.app/) and [Hugging Face Transformers](https://huggingface.co/transformers/).  
@@ -24,7 +23,6 @@ It allows users to analyze the sentiment of reviews across different domains, su
 The app predicts whether the sentiment is **Positive** or **Negative** and shows the confidence score.
 
 ---
-
 ## 🚀 Features
 - 🌐 **Multi-domain support** (General, Products, Movies, Food/Restaurant).
 - 🤗 **Pretrained models from Hugging Face Hub** for accurate sentiment classification.
@@ -56,15 +54,18 @@ Each domain uses a domain-specific model from Hugging Face Hub:
    - **Predicted Sentiment** (Positive/Negative)
    - **Confidence Score**
 
-### Example:
+**Example:**
 
+```
 Domain: Food/Restaurant
 Sentiment: Negative
 Confidence: 99.95%
+```
 
 
 ---
 
+
 ## 🛠️ Installation (Optional: For local testing)
 
 If you want to run this project locally:
@@ -80,16 +81,15 @@ pip install -r requirements.txt
 # Run the app
 python app.py
 
-
----
+```
 
 ## 📦 Requirements  
 
 The main dependencies are:  
 
-- `transformers`  
-- `torch`  
-- `gradio`  
+- [Transformers](https://huggingface.co/docs/transformers/index)  
+- [PyTorch](https://pytorch.org/)  
+- [Gradio](https://www.gradio.app/)  
 
 All dependencies are listed in **`requirements.txt`**.  
 
@@ -97,13 +97,14 @@ All dependencies are listed in **`requirements.txt`**.
 
 ## 🙌 Acknowledgements  
 
-- 🤗 **Hugging Face** — for models and hosting.  
-- 🎨 **Gradio** — for the simple and elegant UI.  
-- Pretrained models:  
-  - DistilBERT  
-  - NLPTown BERT  
-  - IMDB DistilBERT  
-  - RoBERTa (Siebert)  
+- 🤗 [Hugging Face](https://huggingface.co/) — for models and hosting.  
+- 🎨 [Gradio](https://www.gradio.app/) — for the simple and elegant UI.  
+
+**Pretrained models used:**  
+- [DistilBERT](https://huggingface.co/distilbert-base-uncased)  
+- [NLPTown BERT](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment)  
+- [IMDB DistilBERT](https://huggingface.co/textattack/distilbert-base-uncased-imdb)  
+- [RoBERTa (Siebert)](https://huggingface.co/siebert/sentiment-roberta-large-english)