Modify your send.py program to send all the files in the “samples” directory for classification and print out the results

Sure! Here's the modified `send.py` program that sends all the files in the "samples" directory for classification and prints out the results:

import paho.mqtt.client as mqtt
import numpy as np
import json
import os

# Insert model and classification code here

# Connection function
def on_connect(client, userdata, flags, rc):
    if rc == 0:
        print("Successfully connected to broker.")
    else:
        print("Connection failed with code: %d." % rc)

# Message handling
def on_message(client, userdata, msg):
    recv_dict = json.loads(msg.payload)
    filename = recv_dict["filename"]
    img_data = np.array(recv_dict["data"])
    result = classify_flower(filename, img_data)
    print("Classification result for", filename, ":", result)

# Setup MQTT client
def setup(hostname):
    client = mqtt.Client()
    client.on_connect = on_connect
    client.on_message = on_message
    client.connect(hostname)
    client.loop_start()
    return client

def main():
    client = setup("172.17.0.3")
    
    # Send all files in the "samples" directory for classification
    samples_dir = "samples"
    for filename in os.listdir(samples_dir):
        file_path = os.path.join(samples_dir, filename)
        if os.path.isfile(file_path):
            with open(file_path, "rb") as f:
                img_data = f.read()
            payload = {
                "filename": filename,
                "data": img_data.tolist()
            }
            client.publish("Group_04/IMAGE/classify", json.dumps(payload))
    
    while True:
        pass

if __name__ == '__main__':
    main()

In this modified version of `send.py`, we iterate over all the files in the "samples" directory using `os.listdir()` and `os.path.join()` functions