title: OpenHermes Mistral API
emoji: 🧠
colorFrom: gray
colorTo: blue
pinned: false
short_description: This API is for AnalyDocs
🧠 Mistral-7B GGUF API – Hosted LLM Inference with FastAPI
This Hugging Face Space hosts a lightweight, quantized version of the Mistral-7B Instruct large language model in GGUF format (Q4_K_M) using llama-cpp-python and FastAPI.
It exposes a simple /generate endpoint to allow easy integration of high-quality local inference into any application – no OpenAI keys, no vendor lock-in, no GPU dependency.
🔗 Live Demo
🚀 API is deployed and accessible here:
https://Priyanshukr-1-openhermes_mistral_API.hf.space
📄 Used In: AnalyDocs – AI-Powered Report Generator
AnalyDocs is a smart document and data report generation tool that uses this API as its core language generation engine.
🧠 What AnalyDocs Does:
AnalyDocs takes structured or unstructured business data (tables, charts, KPIs, raw CSVs) and transforms it into meaningful written insights using prompt-based LLM processing.
Features:
- ✨ Natural language summaries of documents, reports, and spreadsheets
- 📊 Automatic generation of key insights from graphs and charts
- 📈 Time-series growth/decline analysis with possible reasons from news sources
- 📝 Clean, editable paragraphs and bullet points for documentation
The LLM API hosted in this repo powers the natural language generation core of AnalyDocs.
🛠 Example use case:
“Generate a 5-point executive summary comparing Q1 and Q2 performance, highlighting changes and probable causes.”
📡 API Documentation
POST /generate
Request:
{
"prompt": "Write a summary of the key growth areas in Q2 2024 for the dairy industry."
}