Chatassistant Retail
B 82 completed
Other
cli / python · small
83
Files
16,224
LOC
2
Frameworks
7
Languages
Pipeline State
completedRun ID
#377177Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
56.67Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:41Deduplication group #50880
Member of a group with 20 similar repo(s) — canonical #102665 view group →
Top concepts (2)
Project DescriptionTesting
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
AI Prompt
Create a production-ready, CLI-based conversational AI chatbot for the retail industry, focusing on inventory management. I need it to have a Gradio-based web UI and support multi-modal input, meaning it must handle both text and images (like PNG or JPG). The core logic should use Azure OpenAI GPT-4o-mini and incorporate a LangGraph state machine for complex workflows. It needs to feature hybrid RAG search using Azure Cognitive Search, and ideally, it should support session persistence using Redis or PostgreSQL. Please ensure it can perform image-based product lookups and provide low-stock automation recommendations.
python cli ai-chatbot retail azure-openai langgraph rag gradio multi-modal inventory-management
Generated by gemma4:latest
Catalog Information
chatassistant_retail is a production-ready conversational AI chatbot designed specifically for the retail industry, providing intelligent assistance for retail inventory management. It features a multi-modal interface (text + images) powered by Azure OpenAI GPT-4o-mini, hybrid RAG search with Az
Description
chatassistant_retail is a production-ready conversational AI chatbot designed specifically for the retail industry, providing intelligent assistance for retail inventory management. It features a multi-modal interface (text + images) powered by Azure OpenAI GPT-4o-mini, hybrid RAG search with Az
Novelty
3/10Tags
python cli ai-chatbot retail azure-openai langgraph rag gradio multi-modal inventory-management
Technologies
gradio langchain openai pydantic sqlalchemy
Claude Models
claude-opus-4-6
Quality Score
B
81.7/100
Structure
94
Code Quality
74
Documentation
100
Testing
75
Practices
71
Security
75
Dependencies
60
Strengths
- Well-documented README with substantial content
- CI/CD pipeline configured (github_actions)
- Good test coverage (41% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Properly licensed project
Weaknesses
- 811 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Security & Health
5.3h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
MIT
License
7.7%
Duplication
Languages
Frameworks
pytest SQLAlchemy
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Source: Repobility analyzer · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | !PyPI version  | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Embed Badge
Add to your README:
