Update README.md

README.md

@@ -12,27 +12,69 @@ This project is a part of Google Summer of Code 2022.
 
 [GSoC'22 @ TensorFlow Project Link](https://summerofcode.withgoogle.com/programs/2022/projects/2HAC6oqy)
 
+
+#### Work-Product Document (Final Report):
+[![Medium](https://img.shields.io/badge/Medium-12100E?style=for-the-badge&logo=medium&logoColor=white)](https://medium.com/@mayureshagashe2105/gsoc22-tensorflow-wrapping-up-484d326e7235)
+
+
 ### Project Mentor:
 - **[Josh Gordon](https://twitter.com/random_forests)**
 
 ## Objective
 
 Developing healthcare examples to showcase various use cases of deep learning algorithms and their applications. These sample notebooks will provide students as well as the researchers an overview of the working of deep learning algorithms in real-time scenarios. Further, these trained models will be primarily used on a web-inference engine (currently under development) for underfunded medical sectors.
 
-## Timeline
 
-### Pseudo-segmentation of Prostate Gland Cancer
-Demo:
+## Pseudo-segmentation of Prostate Gland Cancer
+### Understanding the Problem Statement
+Pseudo Segmentation is a process of creation of fake mask maps by using the classification approach on the entire image at the patch level. The entire slide image is broken down into patches of fixed length and these patches are then classified. If found positive, that patch in the original image is then masked, thereby, creating a fake mask map.
+
+
+### Demo:
 
 ![Untitled](https://user-images.githubusercontent.com/75118658/179668154-983e9d95-a324-4a1d-af9b-e67f17b97e15.gif)
 
+## Access the deployed App
 
 App:
 [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://mayureshagashe2105-gsoc-22-tensorflow-resources-app-home-nrud12.streamlitapp.com/)
 
+## Run the App Locally
+1. Clone the repository.
+```sh
+git clone https://github.com/mayureshagashe2105/GSoC-22-TensorFlow-Resources-and-Notebooks.git
+```
+2. Go to the project directory.
+```sh
+cd GSoC-22-TensorFlow-Resources-and-Notebooks
+```
+4. Checkout to the branch `localhost`
+```sh
+git checkout localhost
+```
+5. Go to the `app` driectory.
+```sh
+cd app
+```
+6. Install the requiremnets.
+```sh
+pip install -r requirements.txt
+```
+7. Make sure you have `openslide-binary` from this [link](http://openslide.org/download/#windows-binaries)
+8. Run the following command:
+```sh
+streamlit run 🏠_Home.py
+```
+
+
+
+## This blog post presents the technical insights used in the developed diagnosing method.
 Blog Post:
+
+
 [![Medium](https://img.shields.io/badge/Medium-12100E?style=for-the-badge&logo=medium&logoColor=white)](https://medium.com/@mayureshagashe2105/gsoc22-tensorflow-pseudo-segmentation-of-prostate-gland-tissue-for-cancer-detection-6d5c45c7c46a)
 
+## Timeline
 ### Week 1 - 2:
 #### Tasks
 - [x] Understanding the structure of the data and tiff files.
@@ -73,11 +115,12 @@ Blog Post:
 - [x] Add dropout layer and support for dropout_rng.
 - [x] Add tensorboard pulgin.
 
-### Week 10:
+### Week 10 - 11:
 #### Tasks:
 - [x] Publish a release.
 
 
-## Final Submission
-- [ ] Write-up..
+### Week 12:
+#### Tasks:
+- [x] Final Work product document write-up.