Refactoring readme

readme.MD

@@ -1,4 +1,12 @@
-## Setup
+# Sanchay AI
+- Sanchay is a Sanskrit word that means "collection" or "accumulation." 
+- We think that It is a fitting name for this project because it captures the essence of what it does - it takes a video and collects its key elements (transcription, subtitles, and video chapters) in an organized and easily accessible manner. 
+- It's like creating a collection of information from a single source, making it more useful and convenient to work with. The name Sanchaya also has a nice ring to it.
+- Sanchay-AI internally uses Whisper and OpenAI to achieve this feat.
+
+## Project Setup
+
+> Pre-requisiites: Python
 
 ### Install openai-Whisper
  pip install -U openai-whisper
@@ -14,19 +22,18 @@
 
 #### Note:
 - Ensure that your video is stored in videos directory.
-- Edit Env in ./run.sh, most importantly, the INPUT_FILE_PATH property.
+- Edit Env in ./run.sh, most importantly, the INPUT_FILE_PATH property & the OPENAI_API_KEY property
 
 ### Run the script
  chmod +x run.sh
  ./run.sh
 
 
-
 #### Env
 
 - INPUT_FILE_PATH - Video file path
 - OPENAI_API_KEY - https://platform.openai.com/api-keys
 - OPENAI_MODEL - https://platform.openai.com/docs/models (Can use only chat based models for the script to work)
 - MAX_TOKENS - This is used to split the subtitles into chunks of MAX_TOKENS. MAX_TOKENS should be 4/5th of your OPENAI_MODEL's max tokens.
 - OUTPUT_TYPE - options [txt, json, vtt, srt, tsv, all], logic supports vtt files only for now
-- OUTPUT_DIR - Directory where output will be stored
+- OUTPUT_DIR - Directory where output will be stored