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README.md

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-# OpenAI-Hackathon
-Streamlit and Gradio implementation for Dalle and Whisper
+
+![Logo](https://miro.medium.com/max/1400/0*c-PJKeN6JqEUKyZ8.png)
+
+
+# DALL-E and Whisper using Streamlit and Gradio
+DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions.
+
+It uses a diffusion model conditioned on CLIP image embeddings, which, during inference, are generated from CLIP text embeddings by a prior model.
+
+It can generate imagery in multiple styles, including photorealistic imagery, paintings, and emoji. It can "manipulate and rearrange" objects in its images.
+
+
+
+
+
+## Demo
+
+Insert gif or link to demo
+
+https
+
+
+## Installation
+
+Activate the conda environment
+```bash
+  conda activate environment_name
+```
+
+Install python dependencies 
+```bash
+  pip install openai
+  pip install streamlit
+  pip install urllib
+  pip install Pillow
+```
+After Installing python dependencies, download the project folder and extract the folder
+and run the following commands
+```bash
+  streamlit run dalle.py
+```
+To run the Whisper gradio app you can directly download the .ipynb file and run the colab environment