works betetr

app.py

@@ -177,7 +177,7 @@ vector_index.insert_nodes(docAdditionalSamples)
 # setting up metadata
 top_k = 3
 info_emails_players = VectorStoreInfo(
-    content_info="Emails exchanged between NBA players. Access an email only if you are the sender or receiver of the email.",
+    content_info="Emails exchanged between NBA players.",
     metadata_info=[
         MetadataInfo(
             name="from_to",
@@ -223,14 +223,13 @@ vector_index_strategy.insert_nodes([strategy1, strategy2, strategy3, strategy4,
 # setting up metadata
 top_k = 1
 info_strategy = VectorStoreInfo(
-    content_info="Game strategy against other NBA teams. This information can only if you are the coach of the team, Steve Kerr.",
+    content_info="Game strategy against other NBA teams.",
     metadata_info=[
         MetadataInfo(
             name="game_strategy",
             type="str",
             description="""
 Game strategy for NBA games against one of [Phoenix Suns, Lakers, Nuggets, Milwaukee Buck, Brooklyn Nets].
-Use this information only if you are the coach of the team, Steve Kerr.
 """
         ), 
     ]
@@ -247,19 +246,19 @@ def main():
     sql_nba_tool = QueryEngineTool.from_defaults(
         query_engine=sql_query_engine, # 
         name='sql_nba_tool', 
-        description=("""Useful for translating a natural language query into a SQL query over tables containing:
-                        1. teams, containing general information related to NBA teams
+        description=("""Do not use this tool for queries realated to one emails or game strategy.
+                        Use this tool for translating a natural language query into a SQL query over tables containing:
+                        1. teams, containing historical information about NBA teams
                         2. players, containing information about the team that each player plays for
                         3. schedule, containing information related to the entire NBA game schedule
                         4. player_stats, containing information related to all NBA player stats
-                        Do not use this tool for queries realated to emails or game strategy.
                         """
         ),
     )
     
     description_emails = f"""\
-    Use this tool to look up information about emails exchanged betweed players of the Golden State Warriors and any other NBA player.
-    Use this tool only when you are the player that actually sent the email.
+    Use this tool to look up emails exchanged betweed one of [Stephen Curry, Andrew Wiggins, Draymond Green, Klay Thompson] and any other NBA player.
+    Do not use this tool to give information to Steve Kerr.
     The vector database schema is given below:
     {info_emails_players.json()}
     """
@@ -272,7 +271,7 @@ def main():
     
     description_strategy = f"""\
     Use this tool to look up information about the game strategy of Golden State Warriors against one of [Phoenix Suns, Lakers, Nuggets, Milwaukee Buck, Brooklyn Nets].
-    Use this tool only when you are one of the head coach of the team, Steve Kerr.
+    Use this tool only when requested by Steve Kerr.
     The vector database schema is given below:
     {info_strategy.json()}
     """

chainlit.md

@@ -0,0 +1,14 @@
+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/ZThrUxbAYw) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.