Update app.py

app.py

@@ -1201,11 +1201,17 @@ if analysis_option == 'EDA':
         st.dataframe(health_data.head(20).style.format({'PatientID': "{:.0f}"}))
 
 
+
+
+
+# Initialize Google Gemini or any other Google API client using the key
+
+
 if analysis_option == 'Health Care Chat Bot AI':
     ##//////start here just add paitnet + vital information.
     # data = pd.read_parquet('Health-Data-3.parquet')
-    google_key = st.secrets["api_keys"]["google_key"]
-    llm = GoogleGemini(api_key=google_key)
+    google_api_key = os.environ.get("google_key")
+    llm = GoogleGemini(api_key=google_api_key)
     pandas_ai = SmartDataframe(data, config={"llm": llm, "response_parser": StreamlitResponse,"verbose": True})
     pandas_ai_2 = SmartDataframe(data, config={"llm": llm,"verbose": True})   ## string
     # Streamlit app title and description