updated llm

core_logic.py

@@ -11,8 +11,8 @@ from tools import web_search, parse_file
 
 # Recommended: Qwen2.5-Coder-32B or Llama-3.1-70B-Instruct
 #client = InferenceClient("deepseek-ai/DeepSeek-V4-Pro", token=os.getenv("HF_TOKEN"))
-client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct", token=os.getenv("HF_TOKEN"))
-#client = InferenceClient("Qwen/Qwen2.5-Coder-7B-Instruct", token=os.getenv("HF_TOKEN"))
+#client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct", token=os.getenv("HF_TOKEN"))
+client = InferenceClient("Qwen/Qwen2.5-Coder-7B-Instruct", token=os.getenv("HF_TOKEN"))
 #client = InferenceClient("llama-3.1-8b-instant", token=os.getenv("HF_TOKEN")) "llama-3.1-70b-versatile" -> GROQ API
 #client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct", token=os.getenv("HF_TOKEN")) # Or "Qwen/Qwen2.5-72B-Instruct"