Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-title: Delay
+title: Delay Predictor
 emoji: 🚀
 colorFrom: red
 colorTo: red
@@ -7,13 +7,30 @@ sdk: docker
 app_port: 8501
 tags:
 - streamlit
+- distilbart
+- project-delay
 pinned: false
-short_description: Streamlit template space
+short_description: Streamlit app for project delay prediction using DistilBART
 ---
 
-# Welcome to Streamlit!
+# Project Delay Predictor
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+This Streamlit app predicts project delays based on task data, workforce, and weather conditions, using DistilBART (`sshleifer/distilbart-cnn-6-6`) for AI-generated insights. It runs on the free CPU tier of Hugging Face Spaces, generating delay probabilities, insights, and a downloadable PDF report, with integration to Salesforce.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## Features
+- Input project details via a Streamlit interface.
+- Predict delay probability and generate AI insights.
+- Visualize delay risk with a heatmap.
+- Save results and PDF to Salesforce.
+- Download a PDF report.
+
+## Setup
+1. Ensure Salesforce credentials are set as environment variables (`SF_USERNAME`, `SF_PASSWORD`, `SF_SECURITY_TOKEN`, `SF_INSTANCE_URL`).
+2. Deploy on a Hugging Face Space with the free CPU tier.
+3. Access the app at the Space's URL.
+
+## Notes
+- Uses DistilBART for CPU-friendly inference (~5-10 seconds per prediction).
+- Secure model loading with `safetensors` and `trust_remote_code=False`.
+
+For questions, refer to [Streamlit documentation](https://docs.streamlit.io) or [Hugging Face forums](https://discuss.huggingface.co).