diff --git a/docs/my-website/docs/providers/gemini.md b/docs/my-website/docs/providers/gemini.md
index df9ad16ed49..6d3cfc39c02 100644
--- a/docs/my-website/docs/providers/gemini.md
+++ b/docs/my-website/docs/providers/gemini.md
@@ -3,6 +3,7 @@
 ## Pre-requisites
 * `pip install -q google-generativeai`
 
+# Gemini-Pro
 ## Sample Usage
 ```python
 import litellm
@@ -15,11 +16,54 @@ response = completion(
 )
 ```
 
+# Gemini-Pro-Vision
 LiteLLM Supports the following image types passed in `url`
 - Images with direct links - https://storage.googleapis.com/github-repo/img/gemini/intro/landmark3.jpg
 - Image in local storage - ./localimage.jpeg
 
+## Sample Usage
+```python
+import os
+import litellm 
+from dotenv import load_dotenv
 
+# Load the environment variables from .env file
+load_dotenv()
+os.environ["GEMINI_API_KEY"] = os.getenv('GEMINI_API_KEY')
+
+prompt = 'Describe the image in a few sentences.'
+# Note: You can pass here the URL or Path of image directly.
+image_url = 'https://storage.googleapis.com/github-repo/img/gemini/intro/landmark3.jpg'
+
+# Create the messages payload according to the documentation
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": prompt
+            },
+            {
+                "type": "image_url",
+                "image_url": {"url": image_url}
+            }
+        ]
+    }
+]
+
+# Make the API call to Gemini model
+response = litellm.completion(
+    model="gemini/gemini-pro-vision",
+    messages=messages,
+)
+
+# Extract the response content
+content = response.get('choices', [{}])[0].get('message', {}).get('content')
+
+# Print the result
+print(content)
+```
 
 ## Chat Models
 | Model Name       | Function Call                        | Required OS Variables    |