diff --git a/llm_adapters.py b/llm_adapters.py
index f09d06b..525b117 100644
--- a/llm_adapters.py
+++ b/llm_adapters.py
@@ -3,6 +3,8 @@
 import logging
 from typing import Optional
 from langchain_openai import ChatOpenAI, AzureChatOpenAI
+from google import genai
+from google.genai import types
 
 def ensure_openai_base_url_has_v1(url: str) -> str:
     import re
@@ -77,6 +79,38 @@ class OpenAIAdapter(BaseLLMAdapter):
             return ""
         return response.content
 
+class GeminiAdapter(BaseLLMAdapter):
+    """
+    适配 Google Gemini 接口
+    """
+    def __init__(self, api_key: str, model_name: str, max_tokens: int, temperature: float = 0.7, timeout: Optional[int] = 600):
+        self.api_key = api_key
+        self.model_name = model_name
+        self.max_tokens = max_tokens
+        self.temperature = temperature
+        self.timeout = timeout
+
+        self._client = genai.Client(api_key=self.api_key)
+
+    def invoke(self, prompt: str) -> str:
+        try:
+            response = self._client.models.generate_content(
+                model = self.model_name,
+                contents = prompt,
+                config = types.GenerateContentConfig(
+                    max_output_tokens=self.max_tokens,
+                    temperature=self.temperature,
+                )
+            )
+            if response and response.text:
+                return response.text
+            else:
+                logging.warning("No text response from Gemini API.")
+                return ""
+        except Exception as e:
+            logging.error(f"Gemini API 调用失败: {e}")
+            return ""
+
 class AzureOpenAIAdapter(BaseLLMAdapter):
     """
     适配 Azure OpenAI 接口（使用 langchain.ChatOpenAI）
@@ -190,5 +224,7 @@ def create_llm_adapter(
         return OllamaAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     elif interface_format.lower() == "ml studio":
         return MLStudioAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
+    elif interface_format.lower() == "gemini":
+        return GeminiAdapter(api_key, model_name, max_tokens, temperature, timeout)
     else:
         raise ValueError(f"Unknown interface_format: {interface_format}")
diff --git a/requirements.txt b/requirements.txt
index 981d39b..3c699d8 100644
Binary files a/requirements.txt and b/requirements.txt differ
diff --git a/tooltips.py b/tooltips.py
index e62db78..f901ed2 100644
--- a/tooltips.py
+++ b/tooltips.py
@@ -3,8 +3,8 @@
 
 tooltips = {
     "api_key": "在这里填写你的API Key。如果使用OpenAI官方接口，请在 https://platform.openai.com/account/api-keys 获取。",
-    "base_url": "模型的接口地址。若使用OpenAI官方：https://api.openai.com/v1。若使用Ollama本地部署，则类似 http://localhost:11434/v1。",
-    "interface_format": "指定LLM接口兼容格式，可选DeepSeek、OpenAI、Ollama、ML Studio等。\n\n注意："+
+    "base_url": "模型的接口地址。若使用OpenAI官方：https://api.openai.com/v1。若使用Ollama本地部署，则类似 http://localhost:11434/v1。调用Gemini模型则无需填写。",
+    "interface_format": "指定LLM接口兼容格式，可选DeepSeek、OpenAI、Ollama、ML Studio、Gemini等。\n\n注意："+
                         "OpenAI 兼容是指的可以通过该标准请求的任何接口，不是只允许使用api.openai.com接口\n"+
                         "例如Ollama接口格式也兼容OpenAI，可以无需修改直接使用\n"+
                         "ML Studio接口格式与OpenAI接口格式也一致。",
diff --git a/ui.py b/ui.py
index 7538b97..8cfa772 100644
--- a/ui.py
+++ b/ui.py
@@ -373,6 +373,8 @@ class NovelGeneratorGUI:
                 self.base_url_var.set("https://[az].openai.azure.com/openai/deployments/[model]/chat/completions?api-version=2024-08-01-preview")
             elif new_value == "DeepSeek":
                 self.base_url_var.set("https://api.deepseek.com/v1")
+            elif new_value == "Gemini":
+                self.base_url_var.set("")  # Gemini 通常不需要 Base URL，可以设置为空
 
         for i in range(7):
             self.ai_config_tab.grid_rowconfigure(i, weight=0)
@@ -413,7 +415,7 @@ class NovelGeneratorGUI:
             column=0,
             font=("Microsoft YaHei", 12)
         )
-        interface_options = ["DeepSeek", "OpenAI", "Azure OpenAI", "Ollama", "ML Studio"]
+        interface_options = ["DeepSeek", "OpenAI", "Azure OpenAI", "Ollama", "ML Studio", "Gemini"]
         interface_dropdown = ctk.CTkOptionMenu(
             self.ai_config_tab,
             values=interface_options,