Update app.py

app.py

@@ -1,44 +1,40 @@
 import gradio as gr
 import os
 from groq import Groq
-from deep_translator import GoogleTranslator
 
 # Set up Groq API client
 client = Groq(
     api_key=os.getenv("GROQ_API_KEY"),  # Ensure you add this key to your environment variables
 )
 
-# Function to fetch team and player list from LLM (using Groq API)
-def get_team_and_players():
+# Function to fetch team overview
+def get_team_overview(team):
     chat_completion = client.chat.completions.create(
         messages=[
-            {"role": "user", "content": "List all MLB teams and their top players."}
+            {"role": "user", "content": f"Provide an overview of the {team} MLB team, including recent performance and standings."}
         ],
-        model="llama-3.3-70b-versatile",  # You can adjust the model here
+        model="llama-3.3-70b-versatile",
     )
-    
     return chat_completion.choices[0].message.content.strip()
 
-# Function to generate team overview
-def get_team_overview(team):
+# Function to predict season outcomes
+def predict_season_outcomes(team):
     chat_completion = client.chat.completions.create(
         messages=[
-            {"role": "user", "content": f"Provide an overview of the {team} MLB team, including recent performance and standings."}
+            {"role": "user", "content": f"Predict the potential season outcomes for the {team} based on their current performance."}
         ],
         model="llama-3.3-70b-versatile",
     )
-    
     return chat_completion.choices[0].message.content.strip()
 
-# Function for season predictions
-def predict_season_outcomes(team):
+# Function for player wildcards
+def get_player_wildcards(player):
     chat_completion = client.chat.completions.create(
         messages=[
-            {"role": "user", "content": f"Predict the potential season outcomes for the {team} based on their current performance."}
+            {"role": "user", "content": f"Describe any standout performances or recent achievements for the player {player} in MLB."}
         ],
         model="llama-3.3-70b-versatile",
     )
-    
     return chat_completion.choices[0].message.content.strip()
 
 # Function for real-time strategy insights
@@ -49,42 +45,27 @@ def real_time_tooltips(game_event):
         ],
         model="llama-3.3-70b-versatile",
     )
-    
     return chat_completion.choices[0].message.content.strip()
 
 # Gradio app interface
 def create_gradio_interface():
     with gr.Blocks() as demo:
-        gr.Markdown("# MLB Fan Engagement App")
-        
-        with gr.Tab("Team and Player Selection"):
-            team_dropdown = gr.Dropdown(choices=[], label="Select Team")
-            player_dropdown = gr.Dropdown(choices=[], label="Select Player")
-            
-            # Update teams and players dynamically using LLM
-            def update_teams_and_players():
-                team_and_players = get_team_and_players()
-                teams = team_and_players.split("\n")  # Assuming each team is on a new line
-                team_dropdown.update(choices=teams)
-                return team_dropdown, player_dropdown
-            
-            # Load teams and players when app starts
-            update_teams_and_players_button = gr.Button("Load Teams and Players")
-            update_teams_and_players_button.click(update_teams_and_players, inputs=[], outputs=[team_dropdown, player_dropdown])
+        gr.Markdown("# Simplified MLB Fan Engagement App")
         
         with gr.Tab("Team Overview"):
-            team_dropdown_overview = gr.Dropdown(choices=[], label="Select Team")
-            overview_output = gr.Textbox(label="Team Overview")
-            team_dropdown_overview.change(
-                get_team_overview, inputs=team_dropdown_overview, outputs=overview_output
-            )
+            team_input = gr.Textbox(label="Enter Team Name")
+            team_output = gr.Textbox(label="Team Overview")
+            team_input.submit(get_team_overview, inputs=team_input, outputs=team_output)
         
         with gr.Tab("Season Predictions"):
-            team_dropdown_predictions = gr.Dropdown(choices=[], label="Select Team")
+            team_input_pred = gr.Textbox(label="Enter Team Name")
             predictions_output = gr.Textbox(label="Season Predictions")
-            team_dropdown_predictions.change(
-                predict_season_outcomes, inputs=team_dropdown_predictions, outputs=predictions_output
-            )
+            team_input_pred.submit(predict_season_outcomes, inputs=team_input_pred, outputs=predictions_output)
+        
+        with gr.Tab("Player Wildcards"):
+            player_input = gr.Textbox(label="Enter Player Name")
+            player_output = gr.Textbox(label="Player Highlights")
+            player_input.submit(get_player_wildcards, inputs=player_input, outputs=player_output)
         
         with gr.Tab("Real-Time Strategy Insights"):
             game_event_input = gr.Textbox(