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f19c84d 87131e4 f19c84d cd7845a f19c84d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | import requests
import gradio as gr
import base64
from PIL import Image
import io
import os
# Define a function to decode the base64 image and save it as a file
def save_image(base64_str, image_format='png'):
image_data = base64.b64decode(base64_str)
image = Image.open(io.BytesIO(image_data))
# Generate a unique filename
filename = f"output_image.{image_format}"
image.save(filename)
return filename
# Define the function that will call the API and handle the image
def query_api(negative_prompt, positive_prompt):
# Prepare the headers and the JSON body of the request
headers = {
"Authorization": "Api-Key O7NlgQG7.9e3nxz7K4K3CakdBpSYkHNlGx5gOmaXb"
}
json_data = {
'workflow_values': {
'negative_prompt': negative_prompt,
'positive_prompt': positive_prompt
}
}
# Send the POST request
response = requests.post(
"https://model-5qe9kjp3.api.baseten.co/development/predict",
headers=headers,
json=json_data
)
# Process the response
if response.status_code == 200:
data = response.json()
results = data.get('result', [])
if results:
# Assuming the first result is what we want to display
base64_image = results[0].get('data')
image_format = results[0].get('format', 'png')
if base64_image and image_format:
# Save the decoded image
image_path = save_image(base64_image, image_format)
return image_path
else:
return "No image data found in the API response."
else:
return "The API response did not contain any results."
else:
return "Failed to fetch data from the API."
# Define the Gradio interface
iface = gr.Interface(
fn=query_api,
inputs=[
gr.Textbox(label="Negative Prompt", placeholder="Enter Negative Prompt Here"),
gr.Textbox(label="Positive Prompt", placeholder="Enter Positive Prompt Here")
],
outputs=gr.File(label="Download Image", type="filepath"),
title="API Query Interface without ControlNet Image",
description="Enter a negative prompt and a positive prompt to query the API and download the resulting image."
)
# Launch the Gradio app
iface.launch()
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