Pass top_p to ollama (#3744)

### What problem does this PR solve?

Pass top_p to ollama. Close #1769

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

rag/llm/chat_model.py

@@ -356,7 +356,7 @@ class OllamaChat(Base):
             options = {}
             if "temperature" in gen_conf: options["temperature"] = gen_conf["temperature"]
             if "max_tokens" in gen_conf: options["num_predict"] = gen_conf["max_tokens"]
-            if "top_p" in gen_conf: options["top_k"] = gen_conf["top_p"]
+            if "top_p" in gen_conf: options["top_p"] = gen_conf["top_p"]
             if "presence_penalty" in gen_conf: options["presence_penalty"] = gen_conf["presence_penalty"]
             if "frequency_penalty" in gen_conf: options["frequency_penalty"] = gen_conf["frequency_penalty"]
             response = self.client.chat(
@@ -376,7 +376,7 @@ class OllamaChat(Base):
         options = {}
         if "temperature" in gen_conf: options["temperature"] = gen_conf["temperature"]
         if "max_tokens" in gen_conf: options["num_predict"] = gen_conf["max_tokens"]
-        if "top_p" in gen_conf: options["top_k"] = gen_conf["top_p"]
+        if "top_p" in gen_conf: options["top_p"] = gen_conf["top_p"]
         if "presence_penalty" in gen_conf: options["presence_penalty"] = gen_conf["presence_penalty"]
         if "frequency_penalty" in gen_conf: options["frequency_penalty"] = gen_conf["frequency_penalty"]
         ans = ""
@@ -430,7 +430,7 @@ class LocalLLM(Base):
                     try:
                         self._connection.send(pickle.dumps((name, args, kwargs)))
                         return pickle.loads(self._connection.recv())
-                    except Exception as e:
+                    except Exception:
                         self.__conn()
                 raise Exception("RPC connection lost!")
 
@@ -442,7 +442,7 @@ class LocalLLM(Base):
         self.client = Client(port=12345, protocol="grpc", asyncio=True)
 
     def _prepare_prompt(self, system, history, gen_conf):
-        from rag.svr.jina_server import Prompt, Generation
+        from rag.svr.jina_server import Prompt
         if system:
             history.insert(0, {"role": "system", "content": system})
         if "max_tokens" in gen_conf:
@@ -450,7 +450,7 @@ class LocalLLM(Base):
         return Prompt(message=history, gen_conf=gen_conf)
 
     def _stream_response(self, endpoint, prompt):
-        from rag.svr.jina_server import Prompt, Generation
+        from rag.svr.jina_server import Generation
         answer = ""
         try:
             res = self.client.stream_doc(