devdunia/python-openai.html at main · echobash/devdunia · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
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    <title>Python OpenAI API - Developer Toolkit | DevDunia</title>
    <meta name="description" content="Python OpenAI API examples and code snippets. ChatGPT, GPT-4, and other OpenAI API integrations for developers.">
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            background: linear-gradient(135deg, #0f172a 0%, #1e293b 50%, #0f172a 100%);
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</head>
<body class="h-screen lg:ml-72">
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            <h1 class="text-3xl sm:text-4xl font-bold mb-4 tracking-tight
                       text-transparent bg-clip-text bg-gradient-to-r from-emerald-400 to-teal-500">
                Python OpenAI API
            </h1>
            <p class="text-lg text-gray-400 max-w-2xl mx-auto">
                ChatGPT, GPT-4, and other OpenAI API integrations with Python examples.
            </p>
        </div>

        <!-- Tool Container -->
        <div class="max-w-6xl mx-auto">
            <div class="bg-slate-800/70 backdrop-blur-md rounded-lg shadow-lg border border-slate-700/60 p-6">

                <!-- Setup Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Setup & Installation</h2>
                    <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                        <div class="flex items-center justify-between mb-3">
                            <h3 class="text-lg font-medium text-emerald-300">Installation & Basic Setup</h3>
                            <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="setup-code">
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                                <span>Copy</span>
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                        <textarea
                            id="setup-code"
                            rows="8"
                            class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                            readonly
                        ># Install OpenAI library
pip install openai

# Basic setup
import openai
import os

# Set your API key
openai.api_key = "your-api-key-here"
# Or set as environment variable
# os.environ["OPENAI_API_KEY"] = "your-api-key-here"

# Initialize client (for newer versions)
from openai import OpenAI
client = OpenAI(api_key="your-api-key-here")</textarea>
                    </div>
                </div>

                <!-- ChatGPT Examples Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">ChatGPT Examples</h2>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-6">

                        <!-- Simple Chat -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Simple Chat</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="chat-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
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                            <textarea
                                id="chat-code"
                                rows="12"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >import openai

def simple_chat(message):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": message}
        ],
        max_tokens=150,
        temperature=0.7
    )
    return response.choices[0].message.content

# Usage
message = "Explain quantum computing in simple terms"
response = simple_chat(message)
print(response)

# With newer API
from openai import OpenAI
client = OpenAI()

def chat_with_gpt(message):
    response = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "user", "content": message}
        ]
    )
    return response.choices[0].message.content</textarea>
                </div>

                        <!-- Conversation History -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Conversation History</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="conversation-code">
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                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="conversation-code"
                                rows="12"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >from openai import OpenAI
client = OpenAI()

class ChatBot:
    def __init__(self):
        self.conversation_history = []

    def add_message(self, role, content):
        self.conversation_history.append({"role": role, "content": content})

    def chat(self, user_message):
        self.add_message("user", user_message)

        response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=self.conversation_history,
            max_tokens=200
        )

        assistant_message = response.choices[0].message.content
        self.add_message("assistant", assistant_message)

        return assistant_message

    def get_history(self):
        return self.conversation_history

# Usage
bot = ChatBot()
response1 = bot.chat("Hello, how are you?")
response2 = bot.chat("What's the weather like?")
print("History:", bot.get_history())</textarea>
                </div>

                    </div>
                </div>

                <!-- GPT-4 Examples Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">GPT-4 Examples</h2>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-6">

                        <!-- Code Generation -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Code Generation</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="code-gen-code">
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                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="code-gen-code"
                                rows="12"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >from openai import OpenAI
client = OpenAI()

def generate_code(description, language="python"):
    prompt = f"""Generate {language} code for the following task:
{description}

Please provide:
1. Clean, well-commented code
2. Brief explanation of the approach
3. Example usage if applicable"""

    response = client.chat.completions.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are an expert programmer. Generate clean, efficient code with proper comments."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=1000,
        temperature=0.3
    )

    return response.choices[0].message.content

# Usage
description = "Create a function to find the longest common subsequence between two strings"
code = generate_code(description, "python")
print(code)</textarea>
                        </div>

                        <!-- Text Analysis -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Text Analysis</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="analysis-code">
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                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="analysis-code"
                                rows="12"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >from openai import OpenAI
client = OpenAI()

def analyze_text(text, analysis_type="sentiment"):
    analysis_prompts = {
        "sentiment": "Analyze the sentiment of this text (positive, negative, neutral) and provide a confidence score.",
        "summary": "Provide a concise summary of this text in 2-3 sentences.",
        "keywords": "Extract the main keywords and key phrases from this text.",
        "tone": "Analyze the tone and writing style of this text."
    }

    prompt = f"{analysis_prompts.get(analysis_type, 'Analyze this text')}\n\nText: {text}"

    response = client.chat.completions.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are a text analysis expert. Provide clear, structured analysis."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=300,
        temperature=0.2
    )

    return response.choices[0].message.content

# Usage
text = "I'm really excited about this new project! It's going to be amazing."
sentiment = analyze_text(text, "sentiment")
summary = analyze_text(text, "summary")
print(f"Sentiment: {sentiment}")
print(f"Summary: {summary}")</textarea>
                        </div>

                    </div>
                </div>

                <!-- Advanced Features Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Advanced Features</h2>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-6">

                        <!-- Function Calling -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Function Calling</h3>
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                        </svg>
                                    <span>Copy</span>
                    </button>
                </div>
                        <textarea
                                id="function-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                            readonly
                            >from openai import OpenAI
import json

client = OpenAI()

# Define functions that the model can call
functions = [
    {
        "name": "get_weather",
        "description": "Get current weather for a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "City name"
                }
            },
            "required": ["location"]
        }
    }
]

def get_weather(location):
    # Mock weather function
    return f"Weather in {location}: Sunny, 25°C"

def chat_with_functions(message):
    response = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": message}],
        functions=functions,
        function_call="auto"
    )

    message = response.choices[0].message

    if message.function_call:
        function_name = message.function_call.name
        function_args = json.loads(message.function_call.arguments)

        if function_name == "get_weather":
            result = get_weather(function_args["location"])

            # Send function result back to the model
            response = client.chat.completions.create(
                model="gpt-3.5-turbo",
                messages=[
                    {"role": "user", "content": message},
                    {"role": "function", "name": function_name, "content": result}
                ]
            )
            return response.choices[0].message.content

    return message.content

# Usage
result = chat_with_functions("What's the weather like in Tokyo?")
print(result)</textarea>
                        </div>

                        <!-- Streaming Responses -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Streaming Responses</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="streaming-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                            </svg>
                            <span>Copy</span>
                        </button>
                    </div>
                            <textarea
                                id="streaming-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >from openai import OpenAI
import sys

client = OpenAI()

def stream_chat(message):
    stream = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": message}],
        stream=True
    )

    full_response = ""
    for chunk in stream:
        if chunk.choices[0].delta.content is not None:
            content = chunk.choices[0].delta.content
            print(content, end='', flush=True)
            full_response += content

    return full_response

def stream_with_callback(message, callback=None):
    stream = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": message}],
        stream=True
    )

    full_response = ""
    for chunk in stream:
        if chunk.choices[0].delta.content is not None:
            content = chunk.choices[0].delta.content
            full_response += content
            if callback:
                callback(content)

    return full_response

# Usage
def print_chunk(chunk):
    print(chunk, end='', flush=True)

message = "Write a short story about a robot learning to paint"
response = stream_with_callback(message, print_chunk)</textarea>
                </div>

                    </div>
                </div>

                <!-- Quick Reference Section -->
                <div class="mt-8 p-4 bg-slate-700/30 rounded-lg border border-slate-600/50">
                    <h3 class="text-lg font-semibold text-emerald-400 mb-3">Quick Reference</h3>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-4 text-sm">
                        <div>
                            <p class="text-gray-300 font-medium mb-2">Popular Models:</p>
                            <ul class="text-gray-400 space-y-1">
                                <li>• <code>gpt-3.5-turbo</code> - Fast, cost-effective</li>
                                <li>• <code>gpt-4</code> - Most capable, higher cost</li>
                                <li>• <code>gpt-4-turbo</code> - Latest GPT-4 variant</li>
                                <li>• <code>text-embedding-ada-002</code> - Embeddings</li>
                            </ul>
                        </div>
                        <div>
                            <p class="text-gray-300 font-medium mb-2">Key Parameters:</p>
                            <ul class="text-gray-400 space-y-1">
                                <li>• <code>max_tokens</code> - Response length limit</li>
                                <li>• <code>temperature</code> - Creativity (0-2)</li>
                                <li>• <code>top_p</code> - Nucleus sampling</li>
                                <li>• <code>stream</code> - Real-time responses</li>
                            </ul>
                        </div>
                    </div>
                </div>

            </div>
        </div>

        </div>
    </div>

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