doc: update README

README.md

@@ -15,14 +15,13 @@ tags:
 - resegmentation
 license: mit
 inference: false
-extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.audio userbase and help its maintainers improve it further. If you are an academic researcher, please cite the relevant papers in your own publications using the model. If you work for a company, please consider contributing back to pyannote.audio development (e.g. through unrestricted gifts). We also provide scientific consulting services around speaker diarization and machine listening."
+extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.audio userbase and help its maintainers improve it further. Though this model uses MIT license and will always remain open-source, we will occasionnally email you about premium models and paid services around pyannote."
 extra_gated_fields:
   Company/university: text
   Website: text
-  I plan to use this model for (task, type of audio data, etc): text
 ---
 
-We propose (paid) scientific [consulting services](https://herve.niderb.fr/consulting.html) to companies willing to make the most of their data and open-source speech processing toolkits (and `pyannote` in particular). 
+Using this open-source model in production? Make the most of it thanks to our [consulting services](https://herve.niderb.fr/consulting.html).
 
 # 🎹 "Powerset" speaker segmentation
 
@@ -53,15 +52,21 @@ It has been trained by Séverin Baroudi with [pyannote.audio](https://github.com
 
 This [companion repository](https://github.com/FrenchKrab/IS2023-powerset-diarization/) by [Alexis Plaquet](https://frenchkrab.github.io/) also provides instructions on how to train or finetune such a model on your own data.
 
+## Requirements
+
+1. Install [`pyannote.audio`](https://github.com/pyannote/pyannote-audio) `3.0` with `pip install pyannote.audio`
+2. Accept [`pyannote/segmentation-3.0`](https://hf.co/pyannote/segmentation-3.0) user conditions
+3. Create access token at [`hf.co/settings/tokens`](https://hf.co/settings/tokens).
+
+
 ## Usage
 
 ```python
-# 1. visit hf.co/pyannote/segmentation-3.0 and accept user conditions
-# 2. visit hf.co/settings/tokens to create an access token
-# 3. instantiate pretrained model
+# instantiate the model
 from pyannote.audio import Model
-model = Model.from_pretrained("pyannote/segmentation-3.0", 
-                              use_auth_token="ACCESS_TOKEN_GOES_HERE")
+model = Model.from_pretrained(
+  "pyannote/segmentation-3.0", 
+  use_auth_token="HUGGINGFACE_ACCESS_TOKEN_GOES_HERE")
 ```
 
 ### Speaker diarization