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lambda_function.py
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lambda_function.py
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import json
import boto3
import os
from urllib import parse
import uuid
import traceback
from botocore.config import Config
import base64
import random
s3_photo_prefix = os.environ.get('s3_photo_prefix')
bucketName = os.environ.get('bucketName')
path = os.environ.get('path')
sqsUrl = os.environ.get('sqsUrl')
sqs_client = boto3.client('sqs')
profile_of_Image_LLMs = json.loads(os.environ.get('profile_of_Image_LLMs'))
selected_LLM = 0
tableName = 'EmotionDetailInfo-3d2nq2n4sfcqnfelmjj3n3ycje-dev'
def upload_image_to_s3(object_name,img_b64):
s3_client = boto3.client('s3')
key = 'dashboard/'+object_name
try:
response = s3_client.put_object(
Bucket=bucketName,
Key=key,
ContentType='image/png',
Body=base64.b64decode(img_b64)
)
# print('response: ', response)
except Exception:
err_msg = traceback.format_exc()
print('error message: ', err_msg)
raise Exception ("Not able to put an object")
def get_random_value():
return random.randint(1, 30)
def generatative_image(boto3_bedrock, modelId, k, text_prompt, negative_text, fname, generated_urls):
cfgScale = 7.5 # default 8, min: 1.1, max: 10.0 (lower value to introduce more randomness)
seed = 43 + get_random_value()
print('seed: ', seed)
if negative_text:
body = json.dumps({
"taskType": "TEXT_IMAGE",
"textToImageParams": {
"text": text_prompt,
"negativeText": negative_text
},
"imageGenerationConfig": {
"numberOfImages": k,
"quality": "premium", # standard, premium
"height": 512,
"width": 512,
"cfgScale": cfgScale,
"seed": seed
}
})
else:
body = json.dumps({
"taskType": "TEXT_IMAGE",
"textToImageParams": {
"text": text_prompt,
# "negativeText": negative_text
},
"imageGenerationConfig": {
"numberOfImages": k,
"quality": "premium", # standard, premium
"height": 512,
"width": 512,
"cfgScale": cfgScale,
"seed": seed
}
})
try:
response = boto3_bedrock.invoke_model(
body=body,
modelId=modelId,
accept="application/json",
contentType="application/json"
)
print('image generation response: ', response)
except Exception:
err_msg = traceback.format_exc()
print('error message: ', err_msg)
raise Exception ("Not able to request for bedrock")
# Output processing
response_body = json.loads(response.get("body").read())
ext = 'png'
if k==1:
object_name = fname+'.png'
object_name = f'{fname}.{ext}'
url = path+'dashboard'+'/'+parse.quote(object_name)
print('url: ', url)
generated_urls.append(url)
img_b64 = response_body["images"][0]
print(f"Output: {img_b64[0:80]}...")
upload_image_to_s3(object_name,img_b64)
else:
for index in range(k):
object_name = f'{fname}_{index+1}.{ext}'
url = path+'dashboard'+'/'+parse.quote(object_name)
print('url: ', url)
generated_urls.append(url)
img_b64 = response_body["images"][index]
print(f"Output: {img_b64[0:80]}...")
upload_image_to_s3(object_name,img_b64)
return generated_urls
def lambda_handler(event, context):
# print('event: ', event)
requestId = str(uuid.uuid1())
emotion = {
"HAPPY": 0,
"SURPRISED": 1,
"CALM": 2,
"ANGRY": 3,
"FEAR": 4,
"CONFUSED": 5,
"DISGUSTED": 6,
"SAD": 7
}
emotion_counter = [
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]
]
dynamodb_client = boto3.client('dynamodb')
try:
resp = dynamodb_client.scan(
TableName=tableName
)
# print('Items: ', resp["Items"])
print('Items[0]: ', resp["Items"][0])
age_sum = [0.0, 0.0]
nglasses = [0, 0]
nsmile = [0, 0]
neyesOpen = [0, 0]
nmouthOpen = [0, 0]
nbeard = [0, 0]
nmustache = [0, 0]
count = [0, 0]
for item in resp["Items"]:
if item["gender"]["S"] == "Male":
genderType = 0
else:
genderType = 1
count[genderType] = count[genderType] + 1
# print('age: ', item["age"]["N"])
age_sum[genderType] = age_sum[genderType] + float(item["age"]["N"])
if item["sunglasses"]["BOOL"] == True or item["eyeglasses"]["BOOL"] == True:
nglasses[genderType] = nglasses[genderType] + 1
if item["smile"]["BOOL"] == True:
nsmile[genderType] = nsmile[genderType] + 1
if item["eyesOpen"]["BOOL"] == True:
neyesOpen[genderType] = neyesOpen[genderType] + 1
if item["mouthOpen"]["BOOL"] == True:
nmouthOpen[genderType] = nmouthOpen[genderType] + 1
if item["beard"]["BOOL"] == True:
nbeard[genderType] = nbeard[genderType] + 1
if item["mustache"]["BOOL"] == True:
nmustache[genderType] = nmustache[genderType] + 1
emotion_counter[genderType][emotion[item["emotions"]["S"]]] = emotion_counter[genderType][emotion[item["emotions"]["S"]]] + 1
avg_age = [30, 25]
glasses = [True, True]
smile = [True, True]
eyesOpen = [True, True]
mouthOpen = [True, True]
beard = [True, True]
mustache = [True, True]
user_emotion = ["HAPPY", "HAPPY"]
if count[0] > 0:
avg_age[0] = age_sum[0] / count[0]
glasses[0] = True if nglasses[0] > (count[0]/2) else False
smile[0] = True if nsmile[0] > (count[0]/2) else False
eyesOpen[0] = True if neyesOpen[0] > (count[0]/2) else False
mouthOpen[0] = True if nmouthOpen[0] > (count[0]/2) else False
beard[0] = True if nbeard[0] > (count[0]/2) else False
mustache[0] = True if nmustache[0] > (count[0]/2) else False
print('emotion_counter for man: ', emotion_counter[0])
maxValue = 0
pos = 0
for i, v in enumerate(emotion_counter[0]):
if v > maxValue:
maxValue = v
pos = i
print('pos for man: ', pos)
if pos == 0:
user_emotion[0] = 'HAPPY'
elif pos == 1:
user_emotion[0] = 'SURPRISED'
elif pos == 2:
user_emotion[0] = 'CALM'
elif pos == 3:
user_emotion[0] = 'ANGRY'
elif pos == 4:
user_emotion[0] = 'FEAR'
elif pos == 5:
user_emotion[0] = 'CONFUSED'
elif pos == 6:
user_emotion[0] = 'DISGUSTED'
elif pos == 7:
user_emotion[0] = 'SAD'
if count[1] > 0:
avg_age[1] = age_sum[1] / count[1]
glasses[1] = True if nglasses[1] > (count[1]/2) else False
smile[1] = True if nsmile[1] > (count[1]/2) else False
eyesOpen[1] = True if neyesOpen[1] > (count[0]/2) else False
mouthOpen[1] = True if nmouthOpen[1] > (count[0]/2) else False
beard[1] = True if nbeard[1] > (count[0]/2) else False
mustache[1] = True if nmustache[1] > (count[0]/2) else False
print('emotion_counter for weman: ', emotion_counter[1])
maxValue = 0
pos = 0
for i, v in enumerate(emotion_counter[1]):
if v > maxValue:
maxValue = v
pos = i
print('pos for weman: ', pos)
if pos == 0:
user_emotion[1] = 'HAPPY'
elif pos == 1:
user_emotion[1] = 'SURPRISED'
elif pos == 2:
user_emotion[1] = 'CALM'
elif pos == 3:
user_emotion[1] = 'ANGRY'
elif pos == 4:
user_emotion[1] = 'FEAR'
elif pos == 5:
user_emotion[1] = 'CONFUSED'
elif pos == 6:
user_emotion[1] = 'DISGUSTED'
elif pos == 7:
user_emotion[1] = 'SAD'
print('For man:')
print('counter: ', count[0])
print('avg_age: ', str(avg_age[0]))
print('glasses: ', glasses[0])
print('smile: ', smile[0])
print('eyesOpen: ', eyesOpen[0])
print('mouthOpen: ', mouthOpen[0])
print('beard: ', beard[0])
print('mustache: ', mustache[0])
print('emotion: ', user_emotion[0])
print('For weman:')
print('avg_age: ', str(avg_age[1]))
print('counter: ', count[1])
print('glasses: ', glasses[1])
print('smile: ', smile[1])
print('eyesOpen: ', eyesOpen[1])
print('mouthOpen: ', mouthOpen[1])
print('beard: ', beard[1])
print('mustache: ', mustache[1])
print('emotion: ', user_emotion[1])
except Exception as ex:
err_msg = traceback.format_exc()
print('err_msg: ', err_msg)
raise Exception ("Not able to write into dynamodb")
print('resp, ', resp)
# bedrock
profile = profile_of_Image_LLMs[selected_LLM]
bedrock_region = profile['bedrock_region']
boto3_bedrock = boto3.client(
service_name='bedrock-runtime',
region_name=bedrock_region,
config=Config(
retries = {
'max_attempts': 30
}
)
)
k = 1
modelId = profile['model_id']
generated_urls = []
# man
age_str = str(avg_age[0])
smile_str = "smiles," if(smile[0]) == True else ""
glass_str = "waring glasses," if(glasses[0]) == True else ""
negative_text = "glasses," if(glasses[0]) == True else ""
eyes_str = "eyes open" if(eyesOpen[0]) == True else "eyes close"
emotion_str = user_emotion[0] + ','
#text_prompt = f"The face of a Korean man in his early 30s. A face that smiles 80 percent of the time. No glasses, eyes open, 75 percent of the time. his emotion is mainly Calm. He loves puppy and IT Technology."
text_prompt = f"The face of a {age_str}-year-old attractive and handsome korean man. A face that {emotion_str} {smile_str} {glass_str} {eyes_str}. He loves puppy and IT Technology."
print('text_prompt for man: ', text_prompt)
fname = "man"
generated_urls = generatative_image(boto3_bedrock, modelId, k, text_prompt, negative_text, fname, generated_urls)
# weman
age_str = str(avg_age[1])
smile_str = "smiles," if(smile[1]) == True else ""
glass_str = "waring glasses," if(glasses[1]) == True else ""
negative_text = "glasses," if(glasses[1]) == True else ""
eyes_str = "eyes open" if(eyesOpen[1]) == True else "eyes close"
emotion_str = user_emotion[1] + ','
#text_prompt = f"The face of a Korean woman in her early 30s. A face that smiles 80 percent of the time. No glasses, eyes open, 75 percent of the time. her emotion is mainly Calm. She loves puppy and IT Technology and K-beauty."
text_prompt = f"The face of a {age_str}-year-old attractive and beautiful korean woman. A face that {emotion_str} {smile_str} {glass_str} {eyes_str}. She loves puppy and IT Technology and K-beauty."
print('text_prompt for weman: ', text_prompt)
fname = "weman"
generated_urls = generatative_image(boto3_bedrock, modelId, k, text_prompt, negative_text, fname, generated_urls)
result = {
"request_id": requestId,
"generated_urls": generated_urls
}
print('result: ', result)
return {
"isBase64Encoded": False,
'statusCode': 200,
'body': json.dumps(result)
}