MCP Sentiment Inference API

A Machine Learning Inference API using MCP server architecture for sentiment analysis.

Setup and Installation

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

Running the Application

1. Start the FastAPI backend:

cd backend
uvicorn main:app --reload

2. Start the Streamlit frontend:

cd frontend
streamlit run app.py

API Endpoints

• POST /predict: Predict sentiment for given text
  • Request body: {"text": "your text here"}
  • Response: {"sentiment": "positive" | "negative"}

Technologies Used

• FastAPI for backend API
• Streamlit for frontend UI
• Scikit-learn for ML model
• Joblib for model persistence