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- license: apache-2.0
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-
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- # Sentiment Analysis API
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- ![alt text](image.png)
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-
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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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-
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- ## Features
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-
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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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-
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- ## Setup
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-
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- ### Prerequisites
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-
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- - Docker installed on your system
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-
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- ### Build and Run
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-
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- 1. Build the Docker image:
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-
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- ```bash
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- docker build -t sentiment-analysis-api .
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- ```
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-
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- 2. Run the Docker container:
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-
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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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-
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- 3. Access the API:
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-
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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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-
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- ## Example cURL Command
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-
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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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  pinned: false
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+ license: apache-2.0