new_model

analyzer.py

@@ -19,7 +19,7 @@ def analyze_code(code: str) -> str:
         "{\n  'strength': '...', \n  'weaknesses': '...', \n  'speciality': '...', \n  'relevance rating': '...'\n}"
     )
     response = client.chat.completions.create(
-        model="neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16",  # Updated model
+        model="Orion-zhen/Qwen2.5-Coder-7B-Instruct-AWQ",  # Updated model
         messages=[
             {"role": "system", "content": system_prompt},
             {"role": "user", "content": code}

chatbot_page.py

@@ -28,7 +28,7 @@ def chat_with_user(user_message, history):
             messages.append({"role": "assistant", "content": msg[1]})
     messages.append({"role": "user", "content": user_message})
     response = client.chat.completions.create(
-        model="neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16",
+        model="Orion-zhen/Qwen2.5-Coder-7B-Instruct-AWQ",
         messages=messages,
         max_tokens=256,
         temperature=0.7
@@ -53,7 +53,7 @@ def extract_keywords_from_conversation(history):
         "Conversation:\n" + conversation + "\n\nExtract about 5 keywords for Hugging Face repo search."
     )
     response = client.chat.completions.create(
-        model="neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16",
+        model="Orion-zhen/Qwen2.5-Coder-7B-Instruct-AWQ",
         messages=[
             {"role": "system", "content": system_prompt},
             {"role": "user", "content": user_prompt}