TanishqV03/EASYSELLAI

🛍️ EasySell AI — E-Commerce Chatbot SLM

A 100M parameter GPT-style Small Language Model trained for e-commerce intent classification and tool-calling agent for online shopping.

Model Details

• Architecture: Custom GPT (14 layers, 12 heads, 768 dim)
• Parameters: ~100M
• Trained on: 30,000 synthetic e-commerce conversations
• Intents: GET_LINK, SEARCH_PRODUCT, ADD_TO_CART, CHECKOUT, FAQ, CLARIFY, REFUSE

Features

• 🛒 Add to cart with quantity control
• 📦 Order tracking, cancel & refund workflows
• 🧾 Invoice generation with GST
• 💳 Razorpay payment integration
• 🎟️ Coupon system
• 📊 Product comparison
• 🤖 50+ FAQ auto-answers
• 👨‍💼 Human agent routing

Usage

import torch, json
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(repo_id="YOUR_USERNAME/easysell-ai", filename="model.pt")
config_path = hf_hub_download(repo_id="YOUR_USERNAME/easysell-ai", filename="config.json")

# Load config
with open(config_path) as f:
    cfg = json.load(f)

# Load model (after defining your GPT class)
model.load_state_dict(torch.load(model_path, map_location="cpu"))
model.eval()

Demo

Run the Gradio UI using GRADIO_FINAL.py after loading the model.

Files

File	Description
model.pt	Model weights
config.json	Model architecture config
tokenizer.json	BPE tokenizer
products_description.json	Product catalog
products_images.json	Product image URLs
CELL_AGENT_FINAL.py	Tool-calling agent
GRADIO_FINAL.py	Gradio chat UI