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from fastapi import FastAPI, UploadFile
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
import subprocess
import os
import json
import uuid
import html
import torch
from diffusers import (
StableDiffusionPipeline,
DPMSolverMultistepScheduler,
EulerDiscreteScheduler,
)
app = FastAPI()
def file_extension(filename):
filename_list = filename.split(".")
return filename_list[1].lower()
@app.get("/generate")
def generate_image(prompt, model):
torch.cuda.empty_cache()
prompt = html.escape(prompt)
model = html.escape(model)
modelArray = model.split(",")
modelName = modelArray[0]
modelVersion = modelArray[1]
pipeline = StableDiffusionPipeline.from_pretrained(
str(modelName), torch_dtype=torch.float16
)
pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config)
pipeline = pipeline.to("cuda")
image = pipeline(prompt, num_inference_steps=50, height=512, width=512).images[0]
filename = str(uuid.uuid4()) + ".jpg"
image.save(filename)
assertion = {
"assertions": [
{
"label": "com.truepic.custom.ai",
"data": {
"model_name": modelName,
"model_version": modelVersion,
"prompt": prompt,
},
}
]
}
json_object = json.dumps(assertion)
subprocess.check_output(
[
"./scripts/sign.sh",
filename,
filename,
"--assertions-inline",
json_object
]
)
subprocess.check_output(
[
"cp",
filename,
"static/" + filename,
]
)
return {"response": filename}
@app.post("/verify")
def verify_image(fileUpload: UploadFile):
# check if the file has been uploaded
if fileUpload.filename:
fileupload_extension = file_extension(fileUpload.filename)
input_filename = str(uuid.uuid4()) + "." + fileupload_extension
output_filename = str(uuid.uuid4()) + "." + fileupload_extension
# strip the leading path from the file name
fn = os.path.basename(input_filename)
# open read and write the file into the server
open(fn, "wb").write(fileUpload.file.read())
response = subprocess.check_output(
[
"./scripts/verify.sh",
input_filename,
output_filename
]
)
response_list = response.splitlines()
c2pa_string = str(response_list[0])
c2pa = c2pa_string.split(":", 1)
c2pa = c2pa[1].strip(" ").strip("'")
watermark_string = str(response_list[1])
watermark = watermark_string.split(":", 1)
watermark = watermark[1].strip(" ").strip("'")
original_media_string = str(response_list[2])
original_media = original_media_string.split(":", 1)
original_media = original_media[1].strip(" ").strip("'")
if c2pa == 'true':
response = subprocess.check_output(
[
"cp",
input_filename,
"static/" + output_filename,
]
)
result_media = output_filename
elif original_media != 'n/a':
original_media_extension = file_extension(original_media)
filename = str(uuid.uuid4()) + "." + original_media_extension
response = subprocess.check_output(
[
"cp",
original_media,
"static/" + filename,
]
)
result_media = filename
else:
result_media = 'n/a'
return {"response": fileUpload.filename, "contains_c2pa" : c2pa, "contains_watermark" : watermark, "result_media" : result_media}
app.mount("/", StaticFiles(directory="static", html=True), name="static")
@app.get("/")
def index() -> FileResponse:
return FileResponse(path="/app/static/index.html", media_type="text/html")
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