diff --git a/README.md b/README.md
index 69ecf0c01..09499facc 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@ supports use cases like:
 For example, with just a few lines of code, you can access Gemini's multimodal
 capabilities to generate text from text-and-image input:
 
-```
+```python
 model = genai.GenerativeModel('gemini-pro-vision')
 
 cookie_picture = {
@@ -43,7 +43,7 @@ then configure it here.
 
 Import the SDK and load a model.
 
-```
+```python
 import google.generativeai as genai
 
 genai.configure(api_key=os.environ["API_KEY"])
@@ -53,14 +53,14 @@ model = genai.GenerativeModel('gemini-pro')
 
 Use `GenerativeModel.generate_content` to have the model complete some initial text.
 
-```
+```python
 response = model.generate_content("The opposite of hot is")
 print(response.text)  # cold.
 ```
 
 Use `GenerativeModel.start_chat` to have a discussion with a model.
 
-```
+```python
 chat = model.start_chat()
 response = chat.send_message('Hello, what should I have for dinner?')
 print(response.text) #  'Here are some suggestions...'
@@ -109,7 +109,7 @@ Install from PyPI.
 [Obtain an API key from AI Studio](https://makersuite.google.com/app/apikey), then
 configure it here.
 
-```
+```python
 import google.generativeai as palm
 
 palm.configure(api_key=os.environ["PALM_API_KEY"])
@@ -117,14 +117,14 @@ palm.configure(api_key=os.environ["PALM_API_KEY"])
 
 Use `palm.generate_text` to have the model complete some initial text.
 
-```
+```python
 response = palm.generate_text(prompt="The opposite of hot is")
 print(response.result)  # cold.
 ```
 
 Use `palm.chat` to have a discussion with a model.
 
-```
+```python
 response = palm.chat(messages=["Hello."])
 print(response.last) #  'Hello! What can I help you with?'
 response.reply("Can you tell me a joke?")
diff --git a/google/generativeai/generative_models.py b/google/generativeai/generative_models.py
index 9faa39ccc..b1421fa1c 100644
--- a/google/generativeai/generative_models.py
+++ b/google/generativeai/generative_models.py
@@ -25,7 +25,7 @@
 conversations.
 
 >>> model = genai.GenerativeModel('models/gemini-pro')
->>> result = model.generate_content('Tell me a story about a magic backpack')
+>>> response = model.generate_content('Tell me a story about a magic backpack')
 >>> response.text
 
 ### Streaming
@@ -33,7 +33,7 @@
 This method supports streaming with the `stream=True`. The result has the same type as the non streaming case,
 but you can iterate over the response chunks as they become available:
 
->>> result = model.generate_content('Tell me a story about a magic backpack', stream=True)
+>>> response = model.generate_content('Tell me a story about a magic backpack', stream=True)
 >>> for chunk in response:
 ...   print(chunk.text)