Update app.py

app.py

@@ -35,6 +35,7 @@ def respond(
     selected_dfs = torch.load('selected_dfs.sav', map_location=torch.device('cpu'))
     for df in selected_dfs:
         df = df.dropna()
+        df = df.sample(df.shape[0].div(10))
         for index, row in df.iterrows():
             messages.append({"role": "user", "content": row['Column1.question']})
             messages.append({"role": "assistant", "content": row['Column1.answer']})