README.md

metadata

title: Text2textwithDockers
emoji: 🏃
colorFrom: purple
colorTo: red
sdk: docker
pinned: false
license: mit

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Sentiment Analysis API

This project provides a sentiment analysis API using FastAPI and a machine learning model trained on textual data.

Features

• Data ingestion and preprocessing
• Model training and saving
• FastAPI application for serving predictions
• Dockerized for easy deployment

Setup

Prerequisites

• Docker installed on your system

Build and Run

1. Build the Docker image:

   docker build -t sentiment-analysis-api .
   

2. Run the Docker container:

   docker run -p 8000:8000 sentiment-analysis-api
   

3. Access the API:

   • Home: http://localhost:8000
   • Health Check: http://localhost:8000/health
   • Predict Sentiment: Use a POST request to http://localhost:8000/predict_sentiment with a JSON body.

Example cURL Command

curl -X POST "http://localhost:8000/predict_sentiment" -H "Content-Type: application/json" -d '{"text": "I love programming in Python."}'