Update README.md

README.md

@@ -1,13 +1,54 @@
-title: SAMH
+---
+title: Text2textwithDockers
+emoji: 🏃
+colorFrom: purple
+colorTo: red
+sdk: docker
+pinned: false
+license: mit
+---
 
-emoji: 📚
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-colorFrom: indigo
+# Sentiment Analysis API
+![alt text](image.png)
 
-colorTo: blue
+This project provides a sentiment analysis API using FastAPI and a machine learning model trained on textual data.
 
-sdk: docker
+## Features
 
-pinned: false
+- 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:
+
+    ```bash
+    docker build -t sentiment-analysis-api .
+    ```
+
+2. Run the Docker container:
+
+    ```bash
+    docker run -p 8000:8000 sentiment-analysis-api
+    ```
+
+3. Access the API:
+
+    - Home: [http://localhost:8000](http://localhost:8000)
+    - Health Check: [http://localhost:8000/health](http://localhost:8000/health)
+    - Predict Sentiment: Use a POST request to [http://localhost:8000/predict_sentiment](http://localhost:8000/predict_sentiment) with a JSON body.
+
+## Example cURL Command
 
-license: apache-2.0
+```bash
+curl -X POST "http://localhost:8000/predict_sentiment" -H "Content-Type: application/json" -d '{"text": "I love programming in Python."}'