https://github.com/mimi-netizen/chatgpt-app-development
This repository contains a diverse collection of AI-powered applications leveraging ChatGPT, Gemini, and related technologies. It showcases projects ranging from content generators and chatbots to code analyzers, image creators, and text summarizers, demonstrating various practical uses of these advanced AI models.
https://github.com/mimi-netizen/chatgpt-app-development
ai api chatgpt fastapi flask gemini gemini-api openai openai-api pqt5 tkinter
Last synced: 3 months ago
JSON representation
This repository contains a diverse collection of AI-powered applications leveraging ChatGPT, Gemini, and related technologies. It showcases projects ranging from content generators and chatbots to code analyzers, image creators, and text summarizers, demonstrating various practical uses of these advanced AI models.
- Host: GitHub
- URL: https://github.com/mimi-netizen/chatgpt-app-development
- Owner: mimi-netizen
- Created: 2025-01-20T08:29:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-21T06:50:21.000Z (over 1 year ago)
- Last Synced: 2025-01-29T00:43:34.533Z (over 1 year ago)
- Topics: ai, api, chatgpt, fastapi, flask, gemini, gemini-api, openai, openai-api, pqt5, tkinter
- Language: HTML
- Homepage:
- Size: 14.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ChatGPT Application Development Collection
This repository contains a comprehensive collection of AI-powered applications leveraging ChatGPT, Gemini and related technologies. Each project demonstrates different aspects of AI integration and practical applications.
Based on the repository structure, I'll provide a detailed analysis of each project:
# Detailed Project Breakdown
## 1. ArticleGenerator
A web-based content generation tool primarily built with HTML & PyQt5.




**Key Features:**
- Content generation interface
- Text formatting and styling options
- Article structure templates
- Export capabilities
**Technical Implementation:**
```python
# Sample core generator structure
class ArticleGenerator:
def __init__(self, api_key):
self.api_key = api_key
def generate_article(self, topic, length, style):
# ChatGPT API integration for content generation
# Gemini API for fact-checking and enhancement
pass
def format_content(self, raw_content):
# Content structuring and formatting
pass
```
## 2. ChatGPTChatBot
A conversational interface implementation.




**Key Components:**
- Chat interface (HTML/CSS)
- Message handling system
- Response generation
- Conversation state management
**Technical Implementation:**
```python
class ChatBot:
def __init__(self):
self.conversation_history = []
def process_message(self, user_input):
# Message processing logic
# Context management
# Response generation using both ChatGPT and Gemini
pass
```
## 3. ChatGPTDemo
A demonstration project showing basic API integration.

**Features:**
- Basic API calls
- Response handling
- Example implementations
- Usage patterns
**Sample Implementation:**
```python
class ChatGPTDemo:
def __init__(self):
self.models = {
'gpt': OpenAI(api_key=GPT_KEY),
'gemini': Gemini(api_key=GEMINI_KEY)
}
def demonstrate_basic_call(self, prompt):
# Basic API call demonstration
pass
```
## 4. ChatgptAPI
Core API integration and utilities.
The ChatgptAPI tool is to look for leaked openai apis on github.
**Key Features:**
- Authentication handling
- Request management
- Response processing
- Error handling
**Implementation Structure:**
```python
class ChatGPTAPI:
def __init__(self, config):
self.config = config
self.session = self._initialize_session()
def make_request(self, endpoint, payload):
# API request handling
pass
```
## 5. CodeBugFixing
An AI-powered code analysis and debugging tool.




**Features:**
- Code analysis
- Bug detection
- Fix suggestions
- Code optimization
**Core Structure:**
```python
class CodeAnalyzer:
def __init__(self):
self.supported_languages = ['python', 'javascript', 'java']
def analyze_code(self, code, language):
# Code analysis implementation
pass
def suggest_fixes(self, issues):
# Fix suggestion generation
pass
```
## 6. GPTApps
Collection of miscellaneous GPT applications.




**Applications Include:**
- Text processors
- Data analyzers
- Utility tools
- Helper applications
## 7. ImageGenerator
AI-powered image generation system.
**Features:**
- Text-to-image generation
- Image modification
- Style transfer
- Format conversion
**Implementation:**
```python
class ImageGenerator:
def __init__(self):
self.supported_formats = ['png', 'jpg', 'webp']
def generate_image(self, prompt, size, style):
# Image generation logic
pass
```
## 8. PythonShop
Python development tools and utilities.
**Features:**
- Code generation
- Refactoring tools
- Documentation generation
- Testing utilities
**Core Structure:**
```python
class PythonDevelopmentTools:
def __init__(self):
self.tools = {
'generator': CodeGenerator(),
'analyzer': CodeAnalyzer(),
'formatter': CodeFormatter()
}
```
## 9. ReplyTool
Automated response generation system.
**Features:**
- Email response generation
- Message template management
- Context analysis
- Tone adjustment
**Implementation:**
```python
class ReplyGenerator:
def __init__(self):
self.templates = self._load_templates()
def generate_reply(self, input_message, tone, context):
# Reply generation logic
pass
```
## 10. WordSummarizor
Text summarization tool.



**Features:**
- Document summarization
- Key point extraction
- Length adjustment
- Format preservation
**Core Structure:**
```python
class TextSummarizer:
def __init__(self):
self.models = {
'short': 'gpt-3.5-turbo',
'detailed': 'gpt-4'
}
def summarize(self, text, length='short', focus_points=None):
# Summarization logic
pass
```
## Common Technical Elements Across Projects
**API Integration:**
```python
class APIManager:
def __init__(self):
self.gpt_client = OpenAI(api_key=GPT_KEY)
self.gemini_client = Gemini(api_key=GEMINI_KEY)
def get_best_response(self, prompt, task_type):
# Model selection and response generation
pass
```
**Error Handling:**
```python
class ErrorHandler:
@staticmethod
def handle_api_error(error):
# Common error handling logic
pass
```