app.py

import gradio as gr
import requests
import os
#import json

def faceSwap(file1, file2):
    # Process the uploaded files (e.g., read content, perform calculations, etc.)
    # Replace the following lines with your actual processing logic
    #file1_content = file1.read().decode("utf-8")
    #file2_content = file2.read().decode("utf-8")
    #result = f"File 1 content:\n{file1_content}\n\nFile 2 content:\n{file2_content}"
    #result = "It worked"

    #FaceSwap Stuff
    url = "https://api.prodia.com/v1/faceswap"
    api_key=os.getenv("PRODIA_API_KEY")
    payload = {
        "sourceUrl": f"https://thefisher86-faceswappa.hf.space/file={file1}",
        "targetUrl": f"https://thefisher86-faceswappa.hf.space/file={file2}"
    }
    headers = {
        "accept": "application/json",
        "content-type": "application/json",
        "X-Prodia-Key": api_key
    }
    print(url)
    print(payload)
    print(headers)
    response = requests.post(url, json=payload, headers=headers)

    if response.status_code == 200:
        jobNumber = response.json().get("job")
        print(f"Job created with ID: {jobNumber}")
        urlBase = f"https://api.prodia.com/v1/job/{jobNumber}"
        headers = {"accept": "application/json", "X-Prodia-Key": api_key}
        jobResponse = requests.get(urlBase + jobNumber, headers=headers)
        print(f"Job Status Code: {jobResponse.status_code}")
        genStatus = jobResponse.json()
        print(f"Status: {genStatus}")
        result = f"https://images.prodia.xyz/{jobNumber}.png"
        #result = "yay"
    else:
        print(f"Couldn't create job. {response.status_code}")
        result = "fuck"
        
    return result

# Create a Gradio interface with two file upload components
iface = gr.Interface(
    fn=faceSwap,
    inputs=[
#        gr.inputs.File(label="Upload File 1"),
#        gr.inputs.File(label="Upload File 2")
        gr.Image(label="Face File", value="FaceFile", interactive=True, show_share_button=True, container=True, type='filepath', sources=('upload', 'webcam', 'clipboard')),
        gr.Image(label="Body File", value="BodyFile", interactive=True, show_share_button=True, container=True, type='filepath', sources=('upload', 'webcam', 'clipboard'))
    ],
    outputs=[
        gr.Textbox(label="Result")
        #gr.Image(type="pil", show_download_button=True)
    ],
    #gr.Textbox(label="Job Number", placeholder="will fill in when job number received", interactive=False),
    title="File Upload Interface",
    description="Upload two files and process them."
)

# Launch the Gradio interface
iface.launch()