update readme

Author: jeffkayne

README.md

@@ -1,129 +1,5 @@
 # Welcome to the trubrics-sdk
-<center>
 
-[![](https://dcbadge.vercel.app/api/server/jJ9YDE7qmt)](https://discord.gg/jJ9YDE7qmt)
-[<img src="./assets/trubricsdocs.png"  width="170">](https://trubrics.github.io/trubrics-sdk/)
-
-</center>
-
-<center>
-
-[![](https://github.com/trubrics/trubrics-sdk/actions/workflows/test.yml/badge.svg?branch=main)](https://github.com/trubrics/trubrics-sdk/actions/workflows/test.yml)
-[![](https://github.com/trubrics/trubrics-sdk/actions/workflows/docs.yml/badge.svg?branch=main)](https://github.com/trubrics/trubrics-sdk/actions/workflows/docs.yml)
-[![](https://img.shields.io/github/v/release/trubrics/trubrics-sdk)](https://github.com/trubrics/trubrics-sdk/releases)
-[![](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://github.com/trubrics/trubrics-sdk/blob/main/LICENSE)
-
-</center>
-
-Trubrics enables AI teams to **collect, analyse and manage user prompts & feedback** on models. This allows teams to:
-
-- **🚨 Identify bugs** - users are constantly running inference on models, and may be more likely to find bugs than an ML monitoring system
-- **🧑‍💻️ Fine tune** - users often hold domain knowledge that can be useful to fine tune models
-- **👥 Align** - identifying user preferences will help to align models to users
-
-<img src="./assets/trubrics-example.png"  width="800">
-
-## Try our LLM demo
-
-1. Create your **free account**:
-
-    [<img src="./assets/sign_up.png"  width="200">](https://trubrics.streamlit.app/)
-
-2. Save feedback to Trubrics from our **demo LLM app**:
-
-    [<img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"  width="200">](https://trubrics-llm-example-chatbot.streamlit.app/)
-
-Or watch a step by step video of integrating Trubrics into the LLM Streamlit app [here](https://www.youtube.com/watch?v=2Qt54qGwIdQ).
-
-## Collect user prompts & feedback with the Python SDK
-
-The python SDK allows you to collect user prompts & feedback from your ML apps from any python backend or web framework. Install it with:
-
-```console
-pip install trubrics
-```
-
-Now set your [Trubrics](https://trubrics.streamlit.app/) `email` and `password` as environment variables:
-
-```bash
-export TRUBRICS_EMAIL="trubrics_email"
-export TRUBRICS_PASSWORD="trubrics_password"
-```
-
-and push some user prompts & feedback to the `default` project & feedback component:
-
-```python
-import os
-from trubrics import Trubrics
-
-trubrics = Trubrics(
-    project="default",
-    email=os.environ["TRUBRICS_EMAIL"],
-    password=os.environ["TRUBRICS_PASSWORD"],
-)
-
-user_prompt = trubrics.log_prompt(
-    config_model={"model": "gpt-3.5-turbo"},
-    prompt="Tell me a joke",
-    generation="Why did the chicken cross the road? To get to the other side.",
-)
-
-user_feedback = trubrics.log_feedback(
-    component="default",
-    model=user_prompt.config_model.model,
-    prompt_id=user_prompt.id,
-    user_response={
-        "type": "thumbs",
-        "score": "👎",
-        "text": "Not a very funny joke...",
-    }
-)
-```
-
-## Collect user prompts & feedback from a Streamlit app
-
-To start collecting user feedback from your [Streamlit](https://streamlit.io/) app, install the additional dependency:
-
-```console
-pip install "trubrics[streamlit]"
-```
-
-and test this code snippet in your app:
-
-```python
-import streamlit as st
-from trubrics.integrations.streamlit import FeedbackCollector
-
-collector = FeedbackCollector(
-    email=st.secrets.TRUBRICS_EMAIL,
-    password=st.secrets.TRUBRICS_PASSWORD,
-    project="default"
-)
-
-user_feedback = collector.st_feedback(
-    component="default",
-    feedback_type="thumbs",
-    open_feedback_label="[Optional] Provide additional feedback",
-    model="gpt-3.5-turbo",
-    prompt_id=None,  # checkout collector.log_prompt() to log your user prompts
-)
-
-if user_feedback:
-    st.write("#### Raw feedback saved to Trubrics:")
-    st.write(user_feedback)
-```
-
-For a full examples logging user prompts and feedback in Streamlit, see our [Streamlit integration docs](https://trubrics.github.io/trubrics-sdk/integrations/streamlit/).
-
-## Collect user feedback from a React.js app
-
-To collect user feedback from a React application, check out [this example](https://github.com/trubrics/trubrics-sdk/tree/main/examples/react_js).
-
-## What's next?
-
-- If you haven't already, create a free account or sign in to [Trubrics](https://trubrics.streamlit.app/).
-- Get more technical information from our [docs](https://trubrics.github.io/trubrics-sdk/):
-    - Collect & analyse [user prompts](https://trubrics.github.io/trubrics-sdk/platform/user_prompts/)
-    - Collect & analyse [user feedback](https://trubrics.github.io/trubrics-sdk/platform/user_feedback/)
-    - Manage user feedback with [Issues](https://trubrics.github.io/trubrics-sdk/platform/issues/)
-- Check out our [website](https://www.trubrics.com/home) for more information about Trubrics.
+> [!IMPORTANT]
+> We are working on a new analytics platform, and we're looking for beta testers.
+> Please [reach out](https://calendly.com/joel-hodgson-1/30min?month=2024-05) to learn more.