feat: test deepsek-r1-1,7b

app.py

@@ -14,7 +14,7 @@ with open("vector_db/chunks.pkl", "rb") as f:
 
 ST = SentenceTransformer("BAAI/bge-large-en-v1.5")
 
-model_id = "Qwen/Qwen2.5-7B-Instruct"
+model_id = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
 bnb = BitsAndBytesConfig(
     load_in_4bit=True,
     bnb_4bit_use_double_quant=True,
@@ -42,7 +42,7 @@ def retrieve(q, k=3):
 def make_prompt(q, docs):
     return SYS + "\n\nContext:\n" + "\n".join(docs) + f"\n\nQuestion: {q}\nAnswer:"
 
-@spaces.GPU
+@spaces.GPU()
 def qa_fn(question: str) -> str:
     docs = retrieve(question, 10)
     prompt = make_prompt(question, docs)[:8000]