Spaces:
Sleeping
Sleeping
File size: 8,857 Bytes
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import os
import gradio as gr
from google import genai
from google.genai import types
from google.genai.types import HarmBlockThreshold
from PIL import Image
from io import BytesIO
import tempfile
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
def generate_image(input_image, partner_type):
"""
Generate an image with a girlfriend or boyfriend added to the input image.
Args:
input_image: The uploaded image file
partner_type: Either "Girlfriend" or "Boyfriend"
Returns:
The generated image with the partner added
"""
# Check if input image is provided
if input_image is None:
return None, "Please upload an image first."
# Get API key from environment variables
api_key = os.environ.get("GEMINI_API_KEY")
if not api_key:
# For Hugging Face Spaces, try to get from HF_TOKEN
api_key = os.environ.get("HF_TOKEN")
if not api_key:
return None, "GEMINI_API_KEY not found in environment variables."
client = genai.Client(api_key=api_key)
# Save the uploaded image to a temporary file
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_file:
input_image_path = temp_file.name
input_image.save(input_image_path)
# Upload the temporary file to Gemini
try:
files = [
client.files.upload(file=input_image_path),
]
# Create the prompt based on the partner type selection
prompt = f"add a {partner_type.lower()} beside the person in the picture. Do not change the environment or background."
contents = [
types.Content(
role="user",
parts=[
types.Part.from_uri(
file_uri=files[0].uri,
mime_type=files[0].mime_type,
),
types.Part.from_text(text=prompt),
],
),
]
generate_content_config = types.GenerateContentConfig(
temperature=0.2,
top_p=0.95,
top_k=40,
max_output_tokens=8192,
response_modalities=[
"image",
"text",
],
safety_settings=[
types.SafetySetting(
category="HARM_CATEGORY_HARASSMENT",
threshold=HarmBlockThreshold.BLOCK_NONE ,
),
types.SafetySetting(
category="HARM_CATEGORY_HATE_SPEECH",
threshold=HarmBlockThreshold.BLOCK_NONE,
),
types.SafetySetting(
category="HARM_CATEGORY_SEXUALLY_EXPLICIT",
threshold=HarmBlockThreshold.BLOCK_NONE,
),
types.SafetySetting(
category="HARM_CATEGORY_DANGEROUS_CONTENT",
threshold=HarmBlockThreshold.BLOCK_NONE,
),
types.SafetySetting(
category="HARM_CATEGORY_CIVIC_INTEGRITY",
threshold=HarmBlockThreshold.BLOCK_NONE,
),
],
response_mime_type="text/plain",
)
try:
response = client.models.generate_content(
model="models/gemini-2.0-flash-exp",
contents=contents,
config=generate_content_config,
)
output_image = None
output_text = ""
# Check if response has candidates
if response and hasattr(response, 'candidates') and response.candidates:
candidate = response.candidates[0]
if hasattr(candidate, 'content') and candidate.content:
for part in candidate.content.parts:
if part.text is not None:
output_text += part.text + "\n"
elif part.inline_data is not None:
try:
# Add debug information
# output_text += f"Received image data of type: {type(part.inline_data.data)}\n"
# output_text += f"MIME type: {part.inline_data.mime_type}\n"
# Try different approaches to handle the image data
if isinstance(part.inline_data.data, bytes):
# If it's already bytes, use it directly
image_data = part.inline_data.data
else:
# Otherwise, try to decode it from base64
image_data = base64.b64decode(part.inline_data.data)
# Save to a temporary file first
with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp_file:
temp_file.write(image_data)
temp_file_path = temp_file.name
# Open the image from the temporary file
output_image = Image.open(temp_file_path)
# Clean up the temporary file
os.unlink(temp_file_path)
except Exception as img_error:
output_text += f"Error processing image: {str(img_error)}\n"
output_text += f"Error type: {type(img_error).__name__}\n"
# Check if there are finish details to display
if hasattr(candidate, 'finish_details') and candidate.finish_details:
output_text += f"\nFinish reason: {candidate.finish_details.finish_reason}\n"
# Check if there are safety ratings to display
if hasattr(candidate, 'safety_ratings') and candidate.safety_ratings:
output_text += "\nSafety ratings:\n"
for rating in candidate.safety_ratings:
output_text += f"- {rating.category}: {rating.probability}\n"
else:
output_text = "The model did not generate a valid response. Please try again with a different image."
if hasattr(response, 'prompt_feedback') and response.prompt_feedback:
output_text += f"\nPrompt feedback: {response.prompt_feedback.block_reason}"
except Exception as api_error:
output_text = f"API Error: {str(api_error)}\n\nDetails: {type(api_error).__name__}"
# Clean up the temporary file in case of error
if os.path.exists(input_image_path):
os.unlink(input_image_path)
return None, output_text
# Clean up the temporary file
os.unlink(input_image_path)
return output_image, output_text
except Exception as e:
# Clean up the temporary file in case of error
if os.path.exists(input_image_path):
os.unlink(input_image_path)
error_details = f"Error: {str(e)}\n\nType: {type(e).__name__}"
print(f"Exception occurred: {error_details}")
return None, error_details
# Create the Gradio interface
def create_interface():
with gr.Blocks(title="Single No More") as app:
gr.Markdown("# Single No More")
gr.Markdown("Stop annoying family members pestering you for being single!")
gr.Markdown("Upload your photo and choose to add a girlfriend or boyfriend!")
with gr.Row():
with gr.Column():
input_image = gr.Image(label="Your Photo", type="pil", image_mode="RGB")
partner_type = gr.Radio(
["Girlfriend", "Boyfriend"],
label="Choose Partner Type",
value="Girlfriend"
)
submit_btn = gr.Button("Generate")
with gr.Column():
output_image = gr.Image(label="Result", type="pil")
output_text = gr.Textbox(label="Response", lines=3)
submit_btn.click(
fn=generate_image,
inputs=[input_image, partner_type],
outputs=[output_image, output_text]
)
return app
if __name__ == "__main__":
app = create_interface()
app.launch(server_name="0.0.0.0", server_port=7860)
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