final update

DEPLOYMENT_GUIDE.md

@@ -4,7 +4,8 @@
 1. ✅ Missing dependencies - FIXED
 2. ✅ Missing GROQ_API_KEY - NEEDS CONFIGURATION 
 3. ✅ File paths - FIXED
-4. ❌ Gradio version bug - NEEDS VERSION DOWNGRADE
+4. ✅ Gradio version bug - FIXED (downgraded to 4.40.0)
+5. ✅ Decommissioned model - FIXED (updated to llama-3.1-70b-versatile)
 
 ## Solution 1: Update Requirements.txt with Compatible Gradio Version
 

GROQ_MODEL_UPDATE.md

@@ -0,0 +1,36 @@
+# GROQ MODEL UPDATE GUIDE
+
+## Issue Fixed: Model Decommissioned Error
+
+The error you encountered:
+```
+The model llama3-70b-8192 has been decommissioned and is no longer supported
+```
+
+## ✅ SOLUTION APPLIED:
+Updated the model in `modules/llm_handler.py` from:
+- ❌ `llama3-70b-8192` (decommissioned)
+- ✅ `llama-3.1-70b-versatile` (active)
+
+## Currently Supported Groq Models (as of Oct 2024):
+
+### **Recommended for Your Use Case:**
+- `llama-3.1-70b-versatile` - Best for detailed interview evaluation
+- `llama-3.1-8b-instant` - Faster, good for quick responses
+- `mixtral-8x7b-32768` - Good alternative with large context
+
+### **All Available Models:**
+- `llama-3.1-405b-reasoning` - Most powerful (if available)
+- `llama-3.1-70b-versatile` - High quality, good balance
+- `llama-3.1-8b-instant` - Fast responses
+- `llama3-groq-70b-8192-tool-use-preview` - With tool support
+- `llama3-groq-8b-8192-tool-use-preview` - Faster with tools
+- `mixtral-8x7b-32768` - Mixtral model
+- `gemma2-9b-it` - Google's Gemma
+- `gemma-7b-it` - Smaller Gemma
+
+## For Hugging Face Spaces Deployment:
+Your app should now work properly with the updated model. The interview functionality will work normally without the API error.
+
+## Testing:
+Run your app and try creating an interview - the question generation should now work without the decommissioned model error.

modules/llm_handler.py

@@ -15,7 +15,7 @@ if not groq_api_key:
     MODEL = None
 else:
     client = Groq(api_key=groq_api_key)
-    MODEL = "llama3-70b-8192" # Use the more powerful 70B model for detailed analysis
+    MODEL = "llama-3.1-70b-versatile" # Updated to supported model
 
 def generate_question(interview_type, document_text):
     if not client: