update

app.py

@@ -53,7 +53,9 @@ def show_demo(placeholder):
                 Try it yourself by defining a scale structure using the input field
                 below and let the **SurveyBot3000** predict the expected response
                 pattern. Use the [YAML](https://yaml.org/) format or follow the structure
-                outlined by the preset example.
+                outlined by the preset example:
+                - Scale names must end with "**:**"
+                - Nest items under a scale name by prepending "**-**" before each item
             """)
 
             with st.form("submission_form"):
@@ -94,7 +96,7 @@ def show_demo(placeholder):
                     except Exception as error:
                         st.error(error)
                         st.json(yaml_dict)
-                        return(None)
+                        return(None)                   
 
                     try:
                         st.session_state.input_data = modeling.encode_input_data()
@@ -103,6 +105,12 @@ def show_demo(placeholder):
                         st.json(yaml_dict)
                         return(None)
 
+                    if os.environ.get('remote_model_path'):
+                        n_items = st.session_state.input_data.shape[0]
+                        if n_items > 50:
+                            st.error(f"You've entered too many items ({n_items} on a 50 item limit)! Please contact bjoern.hommel@uni-leipzig.de if you require estimates of larger sets!")
+                            return(None)
+
                 if 'input_data' in st.session_state:
 
                     if 'yaml_dict' in locals():
@@ -135,7 +143,7 @@ def show_demo(placeholder):
                         st.dataframe(synthetic_scale_correlations, use_container_width=True)
 
                     with tab3:
-                        st.markdown("alpha (Θ) = Synthetic Reliability Estimate")
+                        st.markdown("alpha (Θ) = Synthetic Reliability Estimate (Cronbach's Alpha)")
                         if np.min(modeling.get_items_per_scale()) < 3:
                             st.error("Please make sure that each scale consits of at least 3 items!")
                         else:
@@ -217,17 +225,13 @@ def main():
 
     st.markdown("""
 
-        📖 **Preprint (Open Access)**: https://osf.io/preprints/psyarxiv/kjuce
-
-        🖊️ **Cite**: *Hommel, B. E., & Arslan, R. C. (2024). Language models accurately infer correlations between psychological items and scales from text alone. https://doi.org/10.31234/osf.io/kjuce*
-
-        🌐 **Project website**: https://synth-science.github.io/surveybot3000/
-
-        💾 **Data**: https://osf.io/z47qs/
-
-        #️⃣ **Social Media**:
-            - [Björn Hommel on X/Twitter](https://twitter.com/BjoernHommel)
-            - [Ruben Arslan on X/Twitter](https://twitter.com/rubenarslan/)
+        - 📖 **Preprint (Open Access)**: https://osf.io/preprints/psyarxiv/kjuce
+        - 🖊️ **Cite**: *Hommel, B. E., & Arslan, R. C. (2024). Language models accurately infer correlations between psychological items and scales from text alone. https://doi.org/10.31234/osf.io/kjuce*
+        - 🌐 **Project website**: https://synth-science.github.io/surveybot3000/
+        - 💾 **Data**: https://osf.io/z47qs/
+        - #️⃣ **Social Media**:
+            - Björn Hommel: [X/Twitter](https://twitter.com/BjoernHommel) | [ResearchGate](https://www.researchgate.net/profile/Bjoern-Hommel) | [Bsky](https://bsky.app/profile/bjoernhommel.bsky.social)
+            - Ruben Arslan: [X/Twitter](https://twitter.com/rubenarslan/) | [ResearchGate](https://www.researchgate.net/profile/Ruben_Arslan) | [Bsky](https://bsky.app/profile/ruben.the100.ci)
 
         The web application is maintained by [magnolia psychometrics](https://www.magnolia-psychometrics.com/).
     """, unsafe_allow_html=True)