Merge pull request #1535 from kihaya/docs/fix_sample_code_import_for_providers

docs: Fix import statement for provider's sample code

docs/my-website/docs/providers/gemini.md

@@ -6,7 +6,7 @@
 # Gemini-Pro
 ## Sample Usage
 ```python
-import litellm
+from litellm import completion
 import os
 
 os.environ['GEMINI_API_KEY'] = ""

docs/my-website/docs/providers/palm.md

@@ -5,7 +5,7 @@
 
 ## Sample Usage
 ```python
-import litellm
+from litellm import completion
 import os
 
 os.environ['PALM_API_KEY'] = ""
@@ -17,7 +17,7 @@ response = completion(
 
 ## Sample Usage - Streaming
 ```python
-import litellm
+from litellm import completion
 import os
 
 os.environ['PALM_API_KEY'] = ""

docs/my-website/docs/providers/vertex.md

@@ -17,7 +17,7 @@ import litellm
 litellm.vertex_project = "hardy-device-38811" # Your Project ID
 litellm.vertex_location = "us-central1"  # proj location
 
-response = completion(model="gemini-pro", messages=[{"role": "user", "content": "write code for saying hi from LiteLLM"}])
+response = litellm.completion(model="gemini-pro", messages=[{"role": "user", "content": "write code for saying hi from LiteLLM"}])
 ```
 
 ## Set Vertex Project & Vertex Location

docs/my-website/docs/providers/vllm.md

@@ -11,7 +11,7 @@ pip install litellm vllm
 ```python
 import litellm 
 
-response = completion(
+response = litellm.completion(
             model="vllm/facebook/opt-125m", # add a vllm prefix so litellm knows the custom_llm_provider==vllm
             messages=messages,
             temperature=0.2,
@@ -29,7 +29,7 @@ In order to use litellm to call a hosted vllm server add the following to your c
 ```python
 import litellm 
 
-response = completion(
+response = litellm.completion(
             model="openai/facebook/opt-125m", # pass the vllm model name
             messages=messages,
             api_base="https://hosted-vllm-api.co",