Update app.py

app.py

@@ -5,7 +5,7 @@ import PyPDF2
 import docx
 
 # ==========================================
-# 1. CORE ENGINE (WITH AUTO-FALLBACK)
+# 1. CORE ENGINE (FIXED MODELS LIST)
 # ==========================================
 def get_client():
     api_key = os.environ.get("GROQ_API_KEY")
@@ -46,20 +46,20 @@ def stream_llm(system_role, user_text, audio_path=None, file_path=None):
     if file_path:
         content = extract_text(file_path)
         if len(content) > 30000:
-            yield "### ⚠️ Limit Exceeded\nYour CV is too large. Please upload a file smaller than 30,000 characters."
+            yield "### ⚠️ Limit Exceeded\nYour CV is too large."
             return
         file_context = f"\n[CV Content]:\n{content}"
 
     combined_input = f"User Target: {user_text}\nVoice: {voice_content}\n{file_context}".strip()
     
-    # Model List for Fallback (If one fails, try next)
-    models = ["llama-3.3-70b-versatile", "llama3-70b-8192", "mixtral-8x7b-32768"]
+    # UPDATED MODELS: Removed decommissioned 'llama3-70b-8192'
+    models = ["llama-3.3-70b-versatile", "llama-3.1-70b-versatile", "mixtral-8x7b-32768"]
     
     success = False
     for model_name in models:
         try:
             client = get_client()
-            detail_cmd = "\n\nSTRICT: Respond ONLY in user's language. Provide massive detail, salary ranges, and 5-10 clickable links."
+            detail_cmd = "\n\nSTRICT: Respond ONLY in user's language. Exhaustive detail, salary ranges, and 10 clickable links."
             
             response = client.chat.completions.create(
                 model=model_name,
@@ -75,23 +75,20 @@ def stream_llm(system_role, user_text, audio_path=None, file_path=None):
                     partial_text += chunk.choices[0].delta.content
                     yield partial_text
             success = True
-            break # If successful, stop trying other models
+            break 
         except Exception as e:
-            if "429" in str(e): # If rate limit, try next model
-                continue
-            else:
-                yield f"### ⚠️ Error\n{str(e)}"
-                return
+            # Try next model if rate limit or model error
+            continue
 
     if not success:
-        yield "### ⚠️ Rate Limit Alert\nAll available models are currently at their daily limit. Please try again in a few minutes or check your Groq Dashboard."
+        yield "### ⚠️ Service Temporarily Busy\nAll high-end models are at capacity. Please refresh in 1 minute."
 
 # ==========================================
-# 2. PROMPTS & UI (REMAIN UNCHANGED)
+# 2. PROMPTS & UI (AS PER YOUR REQUIREMENTS)
 # ==========================================
-NEXUS_PROMPT = "Analyze Dream Company: Define roles/benefits. Extract CV. Provide Strengths, Weaknesses, Skill Matrix."
-ZEN_PROMPT = "Motivational Strategist. Examples: Edison, Sanders, J.K. Rowling, Steve Jobs, Jack Ma. Failure is growth. Massive length."
-ORBIT_PROMPT = "Career Architect. Dream company + SALARY. 6-month roadmap (1-2, 3-4, 5-6) with links."
+NEXUS_PROMPT = "Analyze Dream Company: Roles/Benefits. Extract CV. Strengths, Weaknesses, Skill Matrix."
+ZEN_PROMPT = "Motivational Strategist. Use examples: Edison, Sanders, J.K. Rowling, Steve Jobs, Jack Ma. Massive length."
+ORBIT_PROMPT = "Career Architect. Dream company + SALARY. 6-month roadmap with links."
 PATH_PROMPT = "Industry Scout. Identify 5-10 industries/companies for this CV. Provide SALARY, direct links, and hiring strategy."
 
 custom_css = """