renderer changed to iframe

app.py

@@ -5,12 +5,15 @@ from collections import Counter
 import pandas as pd
 import plotly.express as px
 import plotly.graph_objects as go
+import plotly.io as pio
 import streamlit as st
 from safetensors import safe_open
 from sentence_transformers import SentenceTransformer
 
 from semantic_search import predict
 
+pio.renderers.default = "iframe"
+
 HF_TOKEN = os.environ.get("HF_TOKEN")
 CITIES_ENRICHED = os.path.join("data", "cities_enriched_manually.csv")
 DATA = os.path.join("2025-06-13_musterdatenkatalog.json")
@@ -185,28 +188,9 @@ def load_data() -> pd.DataFrame:
     return germany
 
 
-# germany = load_data()
-# germany["lat"] = pd.to_numeric(germany["lat"])
-# germany["lon"] = pd.to_numeric(germany["lon"])
-germany = pd.DataFrame(
-    {
-        "ORG": [
-            "Berlin",
-            "Hamburg",
-            "München",
-            "Köln",
-            "Frankfurt am Main",
-            "Stuttgart",
-            "Düsseldorf",
-            "Leipzig",
-            "Dortmund",
-            "Essen",
-        ],
-        "lat": [52.52, 53.55, 48.14, 50.94, 50.11, 48.78, 51.22, 51.34, 51.51, 51.45],
-        "lon": [13.41, 9.99, 11.58, 6.96, 8.68, 9.18, 6.77, 12.37, 7.46, 7.01],
-        "Count": [1000, 800, 600, 500, 400, 300, 200, 150, 100, 50],
-    }
-)
+germany = load_data()
+germany["lat"] = pd.to_numeric(germany["lat"])
+germany["lon"] = pd.to_numeric(germany["lon"])
 
 
 fig_map = px.scatter_geo(
@@ -403,5 +387,5 @@ st.markdown(
    """,
     unsafe_allow_html=True,
 )
-
+st.write(pio.renderers)
 st.plotly_chart(fig_map)