Update app.py

app.py

@@ -1,25 +1,25 @@
 import os
 import gradio as gr
-import groq  # <--- Just import groq directly
+import groq  # No more Groq class
 from dotenv import load_dotenv
 from datetime import datetime
 
 # Load environment variables
 load_dotenv()
 
-# (No Groq client needed here!)
-
 def load_system_prompt():
+    """Load and decode the system prompt from the config file"""
     try:
         current_dir = os.path.dirname(os.path.abspath(__file__))
         config_path = os.path.join(current_dir, "config", "system_prompt.txt")
+        
         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 system prompt at app startup
+# Load the system prompt once
 SYSTEM_PROMPT = load_system_prompt()
 
 def generate_ai_updates():
@@ -27,8 +27,8 @@ def generate_ai_updates():
     try:
         current_date = datetime.now().strftime("%B %d, %Y")
         
-        response = groq.ChatCompletion.create(  # <--- Directly calling groq.ChatCompletion.create
-            api_key=os.getenv("GROQ_API_KEY"),  # <--- Pass API key here instead
+        response = groq.chat(
+            api_key=os.getenv("GROQ_API_KEY"),
             messages=[
                 {
                     "role": "system",
@@ -36,7 +36,7 @@ def generate_ai_updates():
                 },
                 {
                     "role": "user",
-                    "content": f"Please analyze and provide the latest AI developments and trends for {current_date}."
+                    "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."
                 }
             ],
             model="llama3-70b-8192",
@@ -46,25 +46,29 @@ def generate_ai_updates():
             frequency_penalty=0.1,
             presence_penalty=0.1
         )
+        
         return response['choices'][0]['message']['content']
     
     except Exception as e:
-        return f"Error: {str(e)}"
+        # Return a cleaner message if API call fails
+        print(f"Error during AI generation: {str(e)}")
+        return "⚠️ Oops! Could not generate AI updates. Please try again later."
 
-# Gradio UI as you had it
+# Gradio interface
 with gr.Blocks(title="AI Content Curator") as demo:
-    gr.Markdown("# AI Content Curator")
-    gr.Markdown("Click to get the latest AI developments and recommendations.")
-    
+    gr.Markdown("# 📈 AI Content Curator")
+    gr.Markdown("Click the button below to generate the latest AI developments and recommendations using Gen AI.")
+
     with gr.Row():
         with gr.Column():
-            submit_btn = gr.Button("Generate Latest AI Updates")
+            submit_btn = gr.Button("🚀 Generate Latest AI Updates")
         
         with gr.Column():
             output = gr.Textbox(
-                label="AI Updates and Content Recommendations",
+                label="🔎 AI Updates and Content Recommendations",
                 lines=20,
-                interactive=False
+                interactive=False,
+                placeholder="Waiting for the latest AI trends..."  # <-- Placeholder while loading
             )
     
     submit_btn.click(
@@ -73,5 +77,6 @@ with gr.Blocks(title="AI Content Curator") as demo:
         outputs=output
     )
 
+# Run app
 if __name__ == "__main__":
     demo.launch(share=True)