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Bard-API is an asynchronous Python wrapper and client for interacting with Google Gemini. It functions as a stateful conversation manager and multimodal interface, allowing users to send text and image prompts to a language model and retrieve responses. The library utilizes a cookie-based authentication system that extracts session tokens from local browser storage to authorize requests. To manage access and connectivity, it includes proxy-based request routing to bypass regional restrictions and avoid IP blocks. The project covers capabilities for multimodal AI analysis and the maintenance
MiniCPM-V is a multimodal large language model and vision-language system designed for complex visual and linguistic understanding. It functions as an on-device AI model, providing the capacity to process text, images, and video as a compact neural network. The project is specifically developed as an edge AI framework, utilizing quantization and weight sharding to run on memory-constrained mobile chipsets. This allows for the deployment of multimodal intelligence directly on mobile operating systems for local inference. Its capabilities cover multimodal content analysis of high-resolution im
This is a webcam-based client for a local llama.cpp server that enables real-time object detection and vision-language model inference directly from a browser. It captures frames from the user's webcam at configurable intervals and sends them to a locally running inference server for analysis, displaying both detection results and textual scene descriptions as they are produced. The application distinguishes itself by combining object detection with vision-language scene description in a single real-time interface, all processed through a local llama.cpp server for private, offline operation.
This Python SDK provides a comprehensive toolkit for synthetic audio generation, voice cloning, and the development of conversational AI agents. It enables the creation of lifelike spoken audio from text, the replication of human voices through custom cloning, and the deployment of real-time voice agents capable of interacting with external large language models. The library distinguishes itself through deep integration of conversational AI capabilities, including the design of agent personas and the execution of real-time actions via APIs. It supports professional-grade audio production thro
Narrator is an artificial intelligence system that converts real-time video feeds into natural language audio descriptions. It functions as a multimodal vision narrator and scene descriptor, using computer vision to transform environmental data from a camera into synthetic speech.
The main features of cbh123/narrator are: Synthetic Narrations, Visual Assistance Tools, Real-Time Environmental Narration, AI Scene Descriptors, Multimodal AI Toolkits, Multimodal Analysis Tools, Multimodal Vision Interfaces, Real-Time Scene Description.
Projects with overlapping indexed features include: dsdanielpark/bard-api — Bard-API is an asynchronous Python wrapper and client for interacting with Google Gemini. It functions as a stateful… openbmb/minicpm-v — MiniCPM-V is a multimodal large language model and vision-language system designed for complex visual and linguistic… ngxson/smolvlm-realtime-webcam — This is a webcam-based client for a local llama.cpp server that enables real-time object detection and vision-language… jianchang512/chattts-ui — ChatTTS-ui is a web-based interface and API wrapper for the ChatTTS model, designed to convert written text and mixed… idea-research/grounded-segment-anything — Grounded-Segment-Anything is a suite of specialized tools for multimodal visual analysis, text-based segmentation, and… bytedance/ui-tars — UI-TARS is an LLM GUI automation framework and multimodal action grounding system. It functions as a GUI agent…