Update README.md

README.md

@@ -1,40 +1,20 @@
 ---
 title: Spam Classifier Agent
-emoji: 📧
-colorFrom: blue
-colorTo: green
-sdk: streamlit
-sdk_version: 1.47.1
-app_file: streamlit/app/main.py
-python_version: 3.10
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 8501
+tags:
+- streamlit
+pinned: false
+short_description: Streamlit template space
+license: apache-2.0
 ---
 
-# 📧 Spam Classifier Agent Live Demo
+# Welcome to Streamlit!
 
-A Streamlit web application that leverages a fine-tuned GPT-2 model to classify text messages as either "SPAM" or "NOT SPAM". This agent helps users quickly determine the nature of a message. Try it here @ [SoggyBurritos/Spam_Classifier_Agent](https://huggingface.co/spaces/SoggyBurritos/Spam_Classifier_Agent)
+Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
 
-## ✨ Features
-
-* **Text Input:** Easily enter any text message for classification.
-* **Real-time Prediction:** Get instant results on whether the message is spam or not.
-* **Probability Scores:** View the confidence scores for both "SPAM" and "NOT SPAM" categories.
-* **Intuitive UI:** A clean and user-friendly interface built with Streamlit.
-* **Fine-tuned GPT-2 Model:** Utilizes a powerful transformer model for accurate classification.
-
-## 💻 How to Use
-
-1.  **Enter Text:** Type or paste the message you want to classify into the provided text area.
-2.  **Analyze:** Click the "Analyze Text" button.
-3.  **View Results:** The application will display the prediction (SPAM or NOT SPAM) along with the probability scores.
-
-## ⚙️ Technical Details for Hugging Face Spaces
-
-**App File Location:**
-The main Streamlit application script is located at `streamlit/app/main.py`. Hugging Face Spaces will be configured to run this specific file.
-
-**Dependencies:**
-All required Python packages for this deployment is listed in `requirements.txt`.
-
-**Model & Data:**
-* The fine-tuned GPT-2 model weights (`Spam-Classifier-GPT2-Model.pt`) are expected to be in the `models/` directory at the root of the repository.
-* The application also relies on data preparation scripts which may download or create necessary data files.
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).