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README.md
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sdk: docker
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license: apache-2.0
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# Sentiment Analysis API
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This project provides a sentiment analysis API using FastAPI and a machine learning model trained on textual data.
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## Features
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- Data ingestion and preprocessing
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- Model training and saving
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- FastAPI application for serving predictions
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- Dockerized for easy deployment
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## Setup
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### Prerequisites
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- Docker installed on your system
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### Build and Run
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1. Build the Docker image:
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```bash
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docker build -t sentiment-analysis-api .
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```
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2. Run the Docker container:
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```bash
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docker run -p 8000:8000 sentiment-analysis-api
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```
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3. Access the API:
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- Home: [http://localhost:8000](http://localhost:8000)
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- Health Check: [http://localhost:8000/health](http://localhost:8000/health)
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- Predict Sentiment: Use a POST request to [http://localhost:8000/predict_sentiment](http://localhost:8000/predict_sentiment) with a JSON body.
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## Example cURL Command
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```bash
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curl -X POST "http://localhost:8000/predict_sentiment" -H "Content-Type: application/json" -d '{"text": "I love programming in Python."}'
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colorTo: blue
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sdk: docker
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pinned: false
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license: apache-2.0
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