update streamlit docs

Author: jeffkayne

docs/integrations/streamlit.md

@@ -96,23 +96,20 @@ if st.session_state.logged_prompt:
 
 What's going on here? Let's break down this snippet:
 
-1. `collector = FeedbackCollector()` allows you to authenticate with Trubrics
+### 1. `FeedbackCollector()`
 
-    !!!tip
-        The authentication token is cached already, but to optimise your app further, wrap the `FeedbackCollector` in [@st.cache_data](https://docs.streamlit.io/library/api-reference/performance/st.cache_data).
+!!!tip
+    The authentication token is cached already, but to optimise your app further, wrap the `FeedbackCollector` in [@st.cache_data](https://docs.streamlit.io/library/api-reference/performance/st.cache_data).
 
-    !!!note "FeedbackCollector object"
-        :::trubrics.integrations.streamlit.FeedbackCollector.__init__
+!!!note "FeedbackCollector object"
+    :::trubrics.integrations.streamlit.FeedbackCollector.__init__
 
-2. `collector.log_prompt()` allows you to log all user prompts and model generations
+### 2. `collector.log_prompt()`
 
-    !!!note ".log_prompt() parameters"
-        :::trubrics.Trubrics.log_prompt
+!!!note ".log_prompt() parameters"
+    :::trubrics.Trubrics.log_prompt
 
-3.  `collector.log_feedback()` allows users to embed UI widgets to collect feedback from users
+### 3. `collector.st_feedback()`
 
-    !!!note ".st_feedback() parameters"
-        :::trubrics.integrations.streamlit.FeedbackCollector.st_feedback
-
-!!!Note
-    Each feedback component holds a unique type of feedback. You should create multiple `FeedbackCollector` for collecting different types of feedback in the same app.
+!!!note ".st_feedback() parameters"
+    :::trubrics.integrations.streamlit.FeedbackCollector.st_feedback

docs/platform/user_prompts.md

@@ -40,6 +40,10 @@ prompt = trubrics.log_prompt(
 !!!note "`trubrics.log_prompt()` arguments"
     :::trubrics.Trubrics.log_prompt
 
+### Saving prompts from Streamlit apps
+
+The `FeedbackCollector` Streamlit integration inherits from the `Trubrics` object, meaning that you can log prompts in the same way directly from the `FeedbackCollector`. For more information on this, see the [Streamlit integration](../integrations/streamlit.md) docs.
+
 ## Analyse prompts in Trubrics
 
 Various filters allow AI teams to explore user prompts in Trubrics, and export them to csv.