add chatgpt-python-api materials

Author: adyouri

chatgpt-python-api/basic_chatgpt_call.py

@@ -0,0 +1,10 @@
+from openai import OpenAI
+
+client = OpenAI()
+
+text_response = client.responses.create(
+    model="gpt-5",
+    input="Tell me a joke about Python programming"
+)
+
+print(f"Joke:\n{text_response.output_text}")

chatgpt-python-api/coding_assistant.py

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+from openai import OpenAI
+
+user_input = input("How can I help you? ")
+
+client = OpenAI()
+
+code_response = client.responses.create(
+    model="gpt-5",
+    input=[
+        {
+            "role": "developer",
+            "content": (
+                "You are a Python coding assistant. "
+                "Only accept Python related questions."
+            ),
+        },
+        {
+            "role": "user",
+            "content": f"{user_input}",
+        },
+    ],
+)
+
+print(f"\n{code_response.output_text}")

chatgpt-python-api/structured_output.py

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+from openai import OpenAI
+from pydantic import BaseModel
+
+client = OpenAI()
+
+class CodeOutput(BaseModel):
+    function_name: str
+    code: str
+    explanation: str
+    example_usage: str
+
+code_response = client.responses.parse(
+    model="gpt-5",
+    input=[
+        {
+            "role": "developer",
+            "content": ("You are a coding assistant. Generate clean,"
+                        "well-documented Python code."
+                       )
+        },
+        {
+            "role": "user",
+            "content": "Write a simple Python function to add two numbers"
+        }
+    ],
+    text_format=CodeOutput,
+)
+
+code_result = code_response.output_parsed
+
+print(f"Function Name: {code_result.function_name}")
+print("\nCode:")
+print(code_result.code)
+print(f"\nExplanation: {code_result.explanation}")
+print(f"\nExample Usage:\n{code_result.example_usage}")

chatgpt-python-api/verify_setup.py

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+from openai import OpenAI
+
+client = OpenAI()
+print("OpenAI client created successfully!")
+print(f"Using API key: {client.api_key[:8]}...")