Update app.py

app.py

@@ -1,40 +1,34 @@
 import os
 import gradio as gr
-from groq import Groq
+import groq  # <--- Just import groq directly
 from dotenv import load_dotenv
-import base64
 from datetime import datetime
 
 # Load environment variables
 load_dotenv()
 
-# Initialize Groq client
-client = Groq(api_key=os.getenv("GROQ_API_KEY"), http_client=None)
+# (No Groq client needed here!)
 
 def load_system_prompt():
-    """Load and decode the system prompt from the config file"""
     try:
-        # Get the directory of the current script
         current_dir = os.path.dirname(os.path.abspath(__file__))
         config_path = os.path.join(current_dir, "config", "system_prompt.txt")
-        
-        # Read the system prompt
         with open(config_path, 'r') as file:
             return file.read().strip()
     except Exception as e:
         print(f"Error loading system prompt: {str(e)}")
         return "You are a helpful social media research assistant."
 
-# Load the system prompt once when the app starts
+# Load system prompt at app startup
 SYSTEM_PROMPT = load_system_prompt()
 
 def generate_ai_updates():
     """Generate AI updates using Groq API"""
     try:
-        # Get current date for context
         current_date = datetime.now().strftime("%B %d, %Y")
         
-        chat_completion = client.chat.completions.create(
+        response = groq.ChatCompletion.create(  # <--- Directly calling groq.ChatCompletion.create
+            api_key=os.getenv("GROQ_API_KEY"),  # <--- Pass API key here instead
             messages=[
                 {
                     "role": "system",
@@ -42,7 +36,7 @@ def generate_ai_updates():
                 },
                 {
                     "role": "user",
-                    "content": f"Please analyze and provide the latest AI developments and trends for {current_date}. Follow the verification workflow and create content as specified in the system prompt."
+                    "content": f"Please analyze and provide the latest AI developments and trends for {current_date}."
                 }
             ],
             model="llama3-70b-8192",
@@ -52,14 +46,15 @@ def generate_ai_updates():
             frequency_penalty=0.1,
             presence_penalty=0.1
         )
-        return chat_completion.choices[0].message.content
+        return response['choices'][0]['message']['content']
+    
     except Exception as e:
         return f"Error: {str(e)}"
 
-# Create Gradio interface
+# Gradio UI as you had it
 with gr.Blocks(title="AI Content Curator") as demo:
     gr.Markdown("# AI Content Curator")
-    gr.Markdown("Click the button below to get the latest AI developments and content recommendations.")
+    gr.Markdown("Click to get the latest AI developments and recommendations.")
     
     with gr.Row():
         with gr.Column():
@@ -79,4 +74,4 @@ with gr.Blocks(title="AI Content Curator") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(share=True)
+    demo.launch(share=True)