Update app.py

app.py

@@ -4,7 +4,6 @@ import requests
 import datetime
 
 # --- CONFIG ---
-# Place your API keys here or use Streamlit secrets
 GROQ_API_KEY = st.secrets.get('GROQ_API_KEY', 'YOUR_GROQ_API_KEY')
 BLACKBOX_API_KEY = st.secrets.get('BLACKBOX_API_KEY', 'YOUR_BLACKBOX_API_KEY')
 
@@ -42,20 +41,17 @@ def call_blackbox_agent(prompt):
     }
     response = requests.post(url, headers=headers, json=data)
     if response.status_code == 200:
-        # Adjust this if the response structure is different
         return response.json().get("response", response.json())
     else:
         return f"[Blackbox.ai API Error] {response.status_code}: {response.text}"
 
 # --- UTILS ---
 def code_matches_language(code, language):
-    # Simple heuristic, can be improved
     if language.lower() in code.lower():
         return True
-    return True  # For demo, always True
+    return True 
 
 def calculate_code_complexity(code):
-    # Dummy complexity metric
     lines = code.count('\n') + 1
     return f"{lines} lines"
 
@@ -71,7 +67,7 @@ def get_inline_diff(original, modified):
 
 # --- STREAMLIT APP ---
 st.set_page_config(page_title="AI Workflow App", layout="wide")
-st.title("AI Assistant with Workflow (Streamlit Edition)")
+st.title("CodeGenie")
 
 # Navigation
 page = st.sidebar.radio("Navigate", ["Home", "AI Workflow", "Semantic Search"])
@@ -109,7 +105,6 @@ elif page == "AI Workflow":
             st.error(f"Language mismatch. Please check your code and language selection.")
         else:
             with st.spinner("Running AI Workflow..."):
-                # Simulate workflow steps
                 steps = [
                     ("Explain", call_groq_api(f"Explain this {programming_language} code for a {skill_level} {user_role} in {explanation_language}:\n{code_input}")),
                     ("Refactor", call_blackbox_agent(f"Refactor this {programming_language} code: {code_input}")),