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import socket

import json

from scripts import SentimentAnalysisModel

# Configuration

HOST = '127.0.0.1'

PORT = 5000

BUFFER_SIZE = 1024

# Load the model

model = SentimentAnalysisModel()

# Create a socket

server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

server_socket.bind((HOST, PORT))

# Listen for connections

server_socket.listen()

print(f"Listening on port {PORT}...")

# Accept a connection

client_socket, address = server_socket.accept()

print(f"Accepted connection from {address}.")

try:

while True:

data = client_socket.recv(BUFFER_SIZE).decode("utf-8")

if not data:

break

print(f"Received data from client: {data}")

# Make a prediction

result = model.predict(data)

# Send the result back to the client

result_json = json.dumps(result)

client_socket.sendall(result_json.encode("utf-8"))

print(f"Sent prediction to client: {result_json}")

except Exception as e:

print(e)

finally:

# Close the connection

client_socket.close()

server_socket.close()

print("Connection closed.")