Update app.py

app.py

@@ -1,26 +1,27 @@
 import gradio as gr
-import openai
-import requests
-from deep_translator import GoogleTranslator
 import os
+from groq import Groq
+from deep_translator import GoogleTranslator
 
-# Set up OpenAI API key from environment variables
-openai.api_key = os.getenv("OPENAI_API_KEY")
-
-# MLB API endpoint (mocked, replace with actual MLB API endpoint)
-MLB_API_URL = "https://api.mlb.com/v1/games/"  # Example; replace with actual URL
+# Set up Groq API client
+client = Groq(
+    api_key=os.getenv("GROQ_API_KEY"),  # Ensure you add this key to your environment variables
+)
 
 def get_highlight_summary(team, player, lang='en'):
-    # Fetch game data from MLB API (this is a mockup)
+    # Generate the highlight content
     highlight = f"Highlight of {player} from {team} in the latest game..."
     
-    # Generate a summary with OpenAI API
-    response = openai.Completion.create(
-        engine="text-davinci-003",
-        prompt=f"Generate a highlight summary for: {highlight}",
-        max_tokens=100
+    # Call Groq API for chat completions
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {"role": "user", "content": f"Generate a highlight summary for: {highlight}"}
+        ],
+        model="llama-3.3-70b-versatile",  # Specify the model to use
     )
-    summary = response.choices[0].text.strip()
+    
+    # Extract the generated summary
+    summary = chat_completion.choices[0].message.content.strip()
 
     # Translate summary if necessary
     if lang != 'en':