Streamer-Sales

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Streamer-Sales is an AI sales assistant that generates product descriptions and sales pitches. It uses a large language model with RAG, TTS, and digital human generation for engaging content.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Streamer-Sales?

Streamer-Sales is an AI sales assistant designed to generate compelling product descriptions and sales pitches. It leverages a large language model, fine-tuned on InternLM2, to create engaging explanations of product features that inspire purchase intent. The tool integrates LMDeploy for accelerated inference, RAG for enhanced generation, TTS for natural text-to-speech, and digital human generation to create virtual presenters. It also includes Agent capabilities for real-time information retrieval, ASR for speech-to-text, and a robust backend with FastAPI and PostgreSQL, all deployable via Docker-compose. This comprehensive solution aims to boost sales efficiency and enhance user experience for online and offline sales.

Best used for

Ideal for sales reps and marketers who need to generate engaging product descriptions, create dynamic sales pitches, and automate content for virtual sales assistants. Especially valuable for e-commerce and live streaming platforms looking to enhance customer engagement and sales efficiency.

Common actions

generate sales scripts

create product descriptions

automate sales content

produce digital human videos

enhance sales presentations

low-code/no-codecollaborationautomated workflowopen-sourceworkflowsdeepfakeface swapping"AI Agents"github copilot

Capabilities

Key features

AI sales script generation
RAG-enhanced content generation
TTS voice generation
Digital human video generation
Agent web search
ASR speech-to-text
LMDeploy inference acceleration

Target Audience

sales repmarketershopify owner

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What technologies are integrated into Streamer-Sales?

Streamer-Sales integrates LMDeploy for accelerated inference, RAG for retrieval-augmented generation, TTS for text-to-speech, and ASR for speech-to-text. It also uses Agent capabilities for real-time web queries and supports digital human video generation.

Can Streamer-Sales be deployed on a local machine?

Yes, Streamer-Sales supports local deployment via Docker-Compose for an easy setup or directly on a host machine. It offers both frontend-backend separation for distributed deployment and a combined version for beginners.

What are the hardware requirements for running Streamer-Sales?

The recommended hardware includes an Intel Xeon CPU, 128GB RAM (minimum 64GB), 500GB SSD, and an A100 GPU (or RTX4090/3090). GPU memory requirements vary from 2GB for TTS to 16GB for the full LLM.

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Also listed in

This tool also appears in

E-commerce › Product Descriptions AI Agents & Automation › Voice Agents

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