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new app
Browse files- app.py +69 -3
- generate.py +6 -8
- old_app.py +59 -0
app.py
CHANGED
@@ -6,10 +6,12 @@ from diffusers import StableDiffusionPipeline
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import boto3
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from io import BytesIO
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import os
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AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
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AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
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S3_BUCKET_NAME =
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model_id = "CompVis/stable-diffusion-v1-4"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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@@ -19,6 +21,18 @@ pipe = StableDiffusionPipeline.from_pretrained(
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pipe = pipe.to(device)
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def text_to_image(prompt, save_as, key_id):
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if AWS_ACCESS_KEY_ID != key_id:
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@@ -39,13 +53,21 @@ def text_to_image(prompt, save_as, key_id):
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# Full path of the file in the bucket
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s3_key = "public/" + image_name
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# Upload the image to the S3 bucket
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s3.upload_fileobj(image_buffer, S3_BUCKET_NAME, s3_key)
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def generator_image(prompt):
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prompt = prompt
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image
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# Save the image in S3
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save_image_to_s3(image)
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@@ -54,6 +76,50 @@ def text_to_image(prompt, save_as, key_id):
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return image_name
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iface = gr.Interface(fn=
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iface.launch()
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import boto3
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from io import BytesIO
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import os
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import botocore
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from time import sleep
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AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
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AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
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S3_BUCKET_NAME = 'pineblogs101145-dev'
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model_id = "CompVis/stable-diffusion-v1-4"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = pipe.to(device)
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s3 = boto3.resource('s3',
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
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s3_client = boto3.client('s3',
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
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bucket_name = 'pineblogs101145-dev'
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folder = 'public/mdx/'
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def text_to_image(prompt, save_as, key_id):
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if AWS_ACCESS_KEY_ID != key_id:
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# Full path of the file in the bucket
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s3_key = "public/" + image_name
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print('Saving image to s3')
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# Upload the image to the S3 bucket
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s3.upload_fileobj(image_buffer, S3_BUCKET_NAME, s3_key)
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print('Image saved to s3')
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def generator_image(prompt):
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prompt = prompt
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print('Starting to generate the image ...')
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try:
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image = pipe(prompt).images[0]
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except Exception as e:
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print('Error: ', e)
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print('Image generation completed')
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# Save the image in S3
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save_image_to_s3(image)
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return image_name
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def check_if_exist(bucket_name, key):
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try:
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s3.Object(bucket_name, key).load()
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except botocore.exceptions.ClientError as e:
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if e.response['Error']['Code'] == "404":
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# The object does not exist.
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return False
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else:
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# Something else has gone wrong.
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raise
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else:
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return True
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def list_s3_files(bucket_name, folder):
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my_bucket = s3.Bucket(bucket_name)
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for objects in my_bucket.objects.filter(Prefix=folder):
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print(objects.key)
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filename_ext = '%s' % os.path.basename(objects.key)
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filename = os.path.splitext(filename_ext)[0]
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s3image = 'public/%s.webp' % filename
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if check_if_exist(bucket_name, s3image):
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print('Image %s already exists!' % s3image)
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else:
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response = s3_client.head_object(Bucket=bucket_name, Key=objects.key)
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metadata = response['Metadata']
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print(metadata)
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if 'resumen' in metadata:
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print('Has resume, ready to create image!')
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print('Start creating image.. %s ' % s3image)
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resumen = metadata['resumen']
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else:
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print('There is NOT resume, skipping..')
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sleep(500/1000)
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text_to_image(resumen, filename, AWS_ACCESS_KEY_ID)
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list_s3_files(bucket_name, folder)
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iface = gr.Interface(fn=list_s3_files, inputs=[Textbox(label="bucket_name"), Textbox(label="folder")], outputs="text")
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iface.launch()
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generate.py
CHANGED
@@ -29,6 +29,9 @@ s3_client = boto3.client('s3',
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
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def text_to_image(prompt, save_as, key_id):
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@@ -73,11 +76,6 @@ def text_to_image(prompt, save_as, key_id):
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return image_name
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# iface = gr.Interface(fn=text_to_image, inputs=[Textbox(label="prompt"), Textbox(label="s3_save_as"), Textbox(label="aws_key_id")], outputs="text")
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# iface.launch()
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def check_if_exist(bucket_name, key):
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try:
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@@ -121,7 +119,7 @@ def list_s3_files(bucket_name, folder):
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text_to_image(resumen, filename, AWS_ACCESS_KEY_ID)
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bucket_name = 'pineblogs101145-dev'
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folder = 'public/mdx/'
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list_s3_files(bucket_name, folder)
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
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bucket_name = 'pineblogs101145-dev'
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folder = 'public/mdx/'
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def text_to_image(prompt, save_as, key_id):
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return image_name
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def check_if_exist(bucket_name, key):
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try:
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text_to_image(resumen, filename, AWS_ACCESS_KEY_ID)
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list_s3_files(bucket_name, folder)
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iface = gr.Interface(fn=list_s3_files, inputs=[Textbox(label="bucket_name"), Textbox(label="folder")], outputs="text")
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iface.launch()
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old_app.py
ADDED
@@ -0,0 +1,59 @@
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import gradio as gr
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from gradio.inputs import Textbox
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import torch
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from diffusers import StableDiffusionPipeline
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import boto3
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from io import BytesIO
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import os
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AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
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AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
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S3_BUCKET_NAME = os.getenv("BUCKET_NAME")
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model_id = "CompVis/stable-diffusion-v1-4"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = StableDiffusionPipeline.from_pretrained(
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model_id, torch_dtype=torch.float32)
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pipe = pipe.to(device)
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def text_to_image(prompt, save_as, key_id):
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if AWS_ACCESS_KEY_ID != key_id:
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return "not permition"
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# Create an instance of the S3 client
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s3 = boto3.client('s3',
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aws_access_key_id=AWS_ACCESS_KEY_ID,
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aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
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image_name = '-'.join(save_as.split()) + ".webp"
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def save_image_to_s3(image):
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# Create a BytesIO object to store the image.
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image_buffer = BytesIO()
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image.save(image_buffer, format='WEBP')
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image_buffer.seek(0)
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# Full path of the file in the bucket
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s3_key = "public/" + image_name
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# Upload the image to the S3 bucket
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s3.upload_fileobj(image_buffer, S3_BUCKET_NAME, s3_key)
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def generator_image(prompt):
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prompt = prompt
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image = pipe(prompt).images[0]
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# Save the image in S3
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save_image_to_s3(image)
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generator_image(prompt)
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return image_name
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iface = gr.Interface(fn=text_to_image, inputs=[Textbox(label="prompt"), Textbox(label="s3_save_as"), Textbox(label="aws_key_id")], outputs="text")
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iface.launch()
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