Chatbot

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Chatbot is an open-source AI tool that facilitates local training of small language models and implements chatbot agents. It supports browser automation, screenshot recognition, and large language model analysis for practical scenarios.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is chatbot?

Chatbot is an open-source project designed to advance along the lines of Large Language Models (LLMs). It offers the capability to train small parameter Small Language Models (SLMs) locally, providing training scripts for this purpose. The tool also introduces ChatAgent, enabling the creation of various agents with practical real-world applications. A notable feature is the ShoppingAgent, an intelligent order analysis agent that uses browser automation, screenshot recognition, and LLM analysis to extract, summarize, and export order information to Excel, especially from backends that don't allow direct export. It supports natural language interaction, flexible screenshot options, and batch analysis, making it a versatile solution for automating data extraction tasks.

Best used for

Ideal for developers and researchers who need to train small language models locally, implement custom AI agents, and automate data extraction from web pages. Especially valuable for scenarios requiring intelligent order analysis and exporting information to Excel from non-exportable sources.

Common actions

train AI models

automate data extraction

develop AI agents

process order information

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Capabilities

Key features

Local SLM training
ChatAgent implementation
Browser automation
Screenshot recognition
LLM analysis
Data export to Excel
Natural language interaction

Target Audience

developersdata scientistsresearchersbusiness analysts

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of AI models can be trained locally with Chatbot?

Chatbot supports the local training of small parameter Small Language Models (SLMs). It provides the necessary training scripts, allowing users to customize and fine-tune models using their own datasets for specific applications and scenarios.

How does the ShoppingAgent feature work for order analysis?

The ShoppingAgent uses browser automation to navigate web pages, captures screenshots of order information, and then employs large language models to analyze and extract relevant data. This data can then be summarized and exported into an Excel file, even from systems that lack direct export functionality.

What are the system requirements for running Chatbot and its agents?

To run Chatbot, you need Python 3.8+, Google Chrome browser (version 140.0+ recommended), and the corresponding Chrome driver. The project also lists specific dependencies like FastAPI, Streamlit, Selenium, and various AI/data processing libraries.

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Voice & Call Center Email & Chat Support Customer Feedback Community Management Customer Success Multilingual Support

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