DeveloperBreeze

Sentiment Analysis App Development Tutorials, Guides & Insights

Unlock 1+ expert-curated sentiment analysis app tutorials, real-world code snippets, and modern dev strategies. From fundamentals to advanced topics, boost your sentiment analysis app skills on DeveloperBreeze.

Building AI-Powered Web Apps with Python and FastAPI

Tutorial October 22, 2024
python 

   from fastapi import FastAPI
   from pydantic import BaseModel

   app = FastAPI()

   # Define request body
   class TextInput(BaseModel):
       text: str

   # Endpoint for sentiment analysis
   @app.post("/analyze/")
   def analyze_text(input: TextInput):
       result = sentiment_analysis(input.text)
       return {"text": input.text, "sentiment": result[0]}

Restart your server and test the endpoint. You can use a tool like Postman or CURL to send a POST request to http://127.0.0.1:8000/analyze/ with the following body:

Read More