diff --git a/README.md b/README.md
index b3bf01f..0c963f9 100644
--- a/README.md
+++ b/README.md
@@ -1,23 +1,24 @@
 
-# `AutoTranscript`: Fully Automated Transcription using AI 
+# `ScrAIbe: Streamlined Conversation Recording with Automated Intelligence Based Environment`
 
-`AutoTranscript` is a [PyTorch](https://pytorch.org/) based interface speech-to-text tool to generate fully automated transcriptions. AutoTranscript uses AI models containing speaker diarization models:
+
+`ScrAIbe` is a [PyTorch](https://pytorch.org/) based interface speech-to-text tool to generate fully automated transcriptions. AutoTranscript uses AI models containing speaker diarization models:
 
 - [whisper](https://github.com/openai/whisper): A general-purpose speech recognition model.
 - [payannote-audio](https://github.com/pyannote/pyannote-audio): An open-source toolkit for speaker diarization-.
 
-`AutoTranscript` can be used as a command-line interface, a webserver, or as a Python API.
-
-## Install `AutoTranscript` : 
+## Install `ScrAIbe` : 
 
 The following command will pull and install the latest commit from this repository, along with its Python dependencies.
 
-    pip install https://github.com/JSchmie/autotranscript.git
+    pip install git+https://github.com/JSchmie/autotranscript.git
 
 - **Python version**: Python 3.9
 - **PyTorch version**: Python 1.11.0
   
-## Usage examples
+## Usage 
+
+`AutoTranscript` can be used as a command-line interface, a webserver, or as a Python API.
 
 ### Python usage
 
@@ -32,37 +33,67 @@ print(f"Transcription: \n{text}")
 
 ```
 
+Refer to [whisper](https://github.com/openai/whisper) and [payannote-audio](https://github.com/pyannote/pyannote-audio) for further options.
+
 ### Command-line usage
 
-If you do not want to control the optimization using Python, you also can use the command-line:
+
+You can also run ScrAIbe in a [Gradio App](https://github.com/gradio-app/gradio)  interface using the following command-line:
 
 	autotranscript audio.wav
 
+Some example of important functionalities are:
+
+-  `--task`: Task to be performed, either transcription, diarization or translation into English. Default is transcription.
+- `--hf-token`: To download the models, a Hugging Face token must be generated. Check [Hugging Face](https://huggingface.co/docs/hub/security-tokens) for further information on how to do that.
+- `--server-name`: Name of the Web Server. If empty 127.0.0.1 or 0.0.0.0 will be used
+- `--whisper-model-name`: Name of the [whisper](https://github.com/openai/whisper) model to be used. Default is `medium`.
+
+
 Run the following to view all available options:
 		
 	autotranscript -h
 
-### Documentation usage
+## Documentation 
 
-To access the documentation run the following command from the docs/_build/html directory:
+For further insights check the [documentation page](https://cristinaortizcruz.github.io/Test/).
 
-	python -m http.server
+## Contributions
+
+We are happy for any interest in contributing: In order to do that, fork the repo and use merge requests to incorporate your contribution.
 
 ## Roadmap
 
-- Model quantization
-- Model fine-tuning
-- Implementation of LLMs
+The following milestones are planned for the further development of ScrAIbe:
+
+- Model quantization   
+Quantization to empower memory and computational efficiency.
+
+- Model fine-tuning  
+In order to be able to cover a variety of linguistic phenomena.
+
+For example, currently ScrAIbe is able to transcribe word by word, but ignores filler words or speech pauses. 
+These phenomena can be addressed by fine-tuning with the corresponding data.
+
+- Implementation of LLMs   
+One example is the implementation of a summarization or extraction model, which enables ScrAIbe to automatically summarize or retrieve the key information out of a generated transcription, which could be the minutes of a meeting.
+
 - Executable for Windows
 
 ## Contact
 
-For queries contact Jacob Schmieder at Jacob.Schmieder@dbfz.de
+For queries contact [Jacob Schmieder](Jacob.Schmieder@dbfz.de)
 
 ## License 
 
+<!-- licensing  missing? Apache 2.0 -->
+ScrAIbe is licensed under (tbd).
+
 ## Acknowledgments
 
-Special thanks go to the colleagues of the KIDA project - especially the teams in I5 and I2 - and the BMEL (Bundesministerium für Ernährung und Landwirtschaft).
+<!--add KIDA, MRI, DBFZ, BMEL logos-->
+
+Special thanks go to the KIDA project and the BMEL (Bundesministerium für Ernährung und Landwirtschaft), especially to the AI Consultancy Team and the Infrastructure Team.
+