diff --git a/example_gpt-3.5-turbo.py b/example_gpt-3.5-turbo.py
new file mode 100644
index 0000000..82b61da
--- /dev/null
+++ b/example_gpt-3.5-turbo.py
@@ -0,0 +1,12 @@
+import g4f
+import sys
+
+# Automatic selection of provider, streamed completion
+response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', 
+                                    messages=[{"role": "user", 
+                                            "content": "Write a poem about a tree."}], 
+                                    stream=True)
+                                     
+for message in response:
+    print(message, end="")
+    sys.stdout.flush()
diff --git a/example_gpt-4.py b/example_gpt-4.py
new file mode 100644
index 0000000..bf0a4c3
--- /dev/null
+++ b/example_gpt-4.py
@@ -0,0 +1,32 @@
+import g4f
+import sys
+
+# Provider selection
+provider=g4f.Provider.Phind
+
+# Streaming is not supported by these providers
+if provider in {g4f.Provider.Aws, g4f.Provider.Ora, 
+				g4f.Provider.Bard, g4f.Provider.Aichat}:
+	stream=False
+else:
+	stream=True
+
+print(provider.params) # supported args
+
+# Getting the response
+response = g4f.ChatCompletion.create(model='gpt-4', 
+									messages=[{"role": "user", 
+											"content": "Write a poem about a tree."}], 
+									stream=stream, 
+									provider=provider)
+
+# Printing the response          
+if stream:          
+	for message in response:
+		print(message, end="")
+		sys.stdout.flush()
+	print("\n")
+else:
+	print(response)
+
+
diff --git a/example_server.py b/example_server.py
new file mode 100644
index 0000000..37ddbd1
--- /dev/null
+++ b/example_server.py
@@ -0,0 +1,17 @@
+import openai
+import sys
+
+openai.api_key = ""
+openai.api_base = "http://127.0.0.1:1337"
+
+chat_completion = openai.ChatCompletion.create(stream=True,
+                                    model="gpt-3.5-turbo", 
+                                    messages=[{"role": "user", 
+                                            "content": "Write a poem about a tree."}])
+
+for token in chat_completion:   
+    content = token["choices"][0]["delta"].get("content")
+    if content is not None:
+        print(content, end="")
+        sys.stdout.flush()
+