Merge branch 'feature/talk_to_data' into feature/talk_to_ipcc

climateqa/engine/talk_to_data/main.py

@@ -121,4 +121,4 @@ async def ask_ipcc(query: str, index_state: int = 0, user_id: str | None = None)
     
     log_drias_interaction_to_huggingface(query, sql_query, user_id)
 
-    return sql_query, dataframe, figure, plot_information, sql_queries, result_dataframes, figures, plot_informations, index_state, plot_title_list, ""
+    return sql_query, dataframe, figure, plot_information, sql_queries, result_dataframes, figures, plot_informations, index_state, plot_title_list, ""

climateqa/engine/talk_to_data/query.py

@@ -41,10 +41,10 @@ async def execute_sql_query(sql_query: str) -> pd.DataFrame:
     def _execute_query():
         # Execute the query
         con = duckdb.connect()
-        HF_TOKEN = os.getenv("HF_TOKEN")
+        HF_TTD_TOKEN = os.getenv("HF_TTD_TOKEN")
         con.execute(f"""CREATE SECRET hf_token (
             TYPE huggingface,
-            TOKEN '{HF_TOKEN}'
+            TOKEN '{HF_TTD_TOKEN}'
         );""")
         results = con.execute(sql_query).fetchdf()
         # return fetched data

requirements.txt

@@ -26,4 +26,4 @@ duckdb==1.2.1
 openai==1.61.1
 pydantic==2.9.2
 pydantic-settings==2.2.1
-geojson==3.2.0
+geojson==3.2.0

style.css

@@ -741,4 +741,4 @@ div#tab-vanna{
 #example-img-container {
     flex-direction: column;
     align-items: left;
-}
+}