ChatGPT
AI conversational assistant for answering questions, writing, and coding help
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Lightweight web UI for ChatGPT and multiple LLMs
A feature-rich web interface for ChatGPT, GPT-4, Claude, Gemini, and local LLMs with file-based Q&A, web search, agents, and fine-tuning support.
Chuanhu Chat delivers a polished, Gradio-based web interface for interacting with leading language models—including GPT-5, GPT-4o, Claude 3, Google Gemini, DeepSeek R1, and locally deployed models like ChatGLM and LLaMA. Designed for researchers, developers, and teams who need flexible LLM access, it combines a mobile-responsive UI with advanced features like knowledge-base Q&A, internet search integration, and autonomous agent assistants.
The platform supports file-based question answering, enabling users to upload documents for context-aware responses. Built-in web search keeps answers current, while the agent assistant mode automates multi-step problem solving. GPT-3.5 fine-tuning is natively supported, and custom model endpoints allow integration with local inference servers. Conversation histories are automatically saved, searchable with regex, and can be auto-named by the LLM itself.
Chuanhu Chat offers one-click deployment and can be installed as a Progressive Web App on Chrome, Edge, and Safari. Multi-user history isolation ensures privacy, and system prompts enable effective role-playing scenarios. Ideal for teams requiring a unified interface across commercial APIs and self-hosted models, it balances ease of use with deep configurability.
When teams consider ChuanhuChatGPT, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Multi-Model Research Comparison
Researchers switch between GPT-4, Claude 3, and local LLaMA models within one interface to benchmark performance across tasks without managing separate tools.
Document-Augmented Customer Support
Support teams upload product manuals and knowledge bases, enabling the LLM to answer customer queries with accurate, context-specific information from internal documents.
Autonomous Task Automation
Users leverage the agent assistant to automatically break down complex requests—like market research or data analysis—into subtasks executed without manual intervention.
Custom Model Fine-Tuning Workflow
Developers fine-tune GPT-3.5 on domain-specific data directly through the interface, then deploy and test the custom model alongside standard APIs for immediate comparison.
Chuanhu Chat supports OpenAI (GPT-5, GPT-4, GPT-3.5), Anthropic Claude 3, Google Gemini, Azure OpenAI, DeepSeek R1, and Chinese providers like iFlytek Spark and MiniMax. It also supports local deployment of ChatGLM, LLaMA, StableLM, MOSS, and Qwen models.
Yes, Chuanhu Chat supports one-click local deployment of models including ChatGLM (2 and 3), LLaMA (with Lora), StableLM, MOSS, and Qwen. You can also configure custom model endpoints to integrate local inference servers.
Upload documents to create a knowledge base, and the LLM will use those files as context to answer questions. This enables document-specific Q&A, allowing the model to reference your uploaded content for more accurate, grounded responses.
Yes, Chuanhu Chat isolates conversation histories by user, ensuring that each user's chat records are private and not visible to others in multi-user environments.
Yes, Chuanhu Chat supports Progressive Web App (PWA) installation on Chrome, Edge, and Safari, allowing you to install it as a native-like application on desktop and mobile devices.
Project at a glance
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