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import os
import mimetypes
import tempfile
import urllib.parse
import urllib.request
import gradio as gr
from PIL import Image # kept for compatibility / future UI use
from google import genai
from google.genai import types
# Config
MODEL_ID = os.environ.get("GEMINI_MODEL", "gemini-2.5-flash-image")
def _load_bytes(path_or_url: str) -> tuple[bytes, str]:
"""Return (data, mime_type) from either a local path or a http(s) URL."""
parsed = urllib.parse.urlparse(path_or_url)
is_url = parsed.scheme in ("http", "https")
if is_url:
req = urllib.request.Request(path_or_url, headers={"User-Agent": "Mozilla/5.0"})
with urllib.request.urlopen(req, timeout=30) as resp:
data = resp.read()
mime_type = resp.headers.get_content_type() or "application/octet-stream"
if mime_type in ("application/octet-stream", "binary/octet-stream"):
guess, _ = mimetypes.guess_type(path_or_url)
if guess:
mime_type = guess
return data, mime_type
with open(path_or_url, "rb") as f:
data = f.read()
mime_type, _ = mimetypes.guess_type(path_or_url)
return data, (mime_type or "application/octet-stream")
def generate_content(prompt: str, image1: str | None, image2: str | None, image3: str | None, api_key: str) -> tuple[str | None, str | None]:
"""Generate content using the current Google GenAI SDK (google-genai)."""
api_key = (api_key or "").strip() or os.environ.get("GEMINI_API_KEY")
if not api_key:
raise gr.Error("Please set Space secret GEMINI_API_KEY (recommended) or paste your key into the UI field.")
try:
client = genai.Client(api_key=api_key)
# Prepare request contents: images first, then instruction text
contents: list[types.Part | str] = []
for img_path in [image1, image2, image3]:
if img_path:
data, mime_type = _load_bytes(img_path)
contents.append(types.Part.from_bytes(data=data, mime_type=mime_type))
contents.append((prompt or "").strip() or "Describe the provided images.")
# Ask for TEXT+IMAGE when supported; retry as TEXT-only if needed.
try:
response = client.models.generate_content(
model=MODEL_ID,
contents=contents,
config=types.GenerateContentConfig(response_modalities=["TEXT", "IMAGE"]),
)
except Exception:
response = client.models.generate_content(model=MODEL_ID, contents=contents)
image_output: str | None = None
text_chunks: list[str] = []
if getattr(response, "candidates", None):
for part in response.candidates[0].content.parts:
if getattr(part, "text", None):
text_chunks.append(part.text)
inline = getattr(part, "inline_data", None)
if inline and getattr(inline, "data", None) and image_output is None:
filename = os.path.join(tempfile.gettempdir(), f"gemini_output_{os.urandom(4).hex()}.png")
with open(filename, "wb") as f:
f.write(inline.data)
image_output = filename
if not text_chunks and getattr(response, "text", None):
text_chunks.append(response.text)
text_output = "\n".join([t for t in text_chunks if t]).strip() or None
if image_output:
return image_output, text_output or "Image generated successfully!"
if text_output:
return None, text_output
return None, "No content generated. Try a different prompt or model."
except Exception as e:
raise gr.Error(f"Error generating content: {type(e).__name__}: {str(e)}")
# Gradio app
with gr.Blocks() as demo:
gr.HTML(''' <div style="text-align: center; margin-bottom: 20px;">
<h1>✨ Gemini Flash Studio</h1>
<p>Image Generation & Editing powered by the Gemini API</p>
<p style="opacity:0.8;">Model: <code>{model}</code> (override with <code>GEMINI_MODEL</code>)</p>
<a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank"
style="color: #007bff; text-decoration: none; font-weight: bold;">Built with anycoder</a>
</div>
'''.format(model=MODEL_ID))
gr.Markdown("### Configuration")
with gr.Row():
api_key_input = gr.Textbox(
label="Gemini API Key (optional if GEMINI_API_KEY secret is set)",
type="password",
placeholder="If you set GEMINI_API_KEY in Space Secrets, you can leave this empty.",
scale=4,
)
gr.Markdown("### Inputs")
with gr.Row():
img_input_1 = gr.Image(label="Image 1 (Drag & Drop)", type="filepath", sources=["upload", "clipboard"], height=300)
img_input_2 = gr.Image(label="Image 2 (Drag & Drop)", type="filepath", sources=["upload", "clipboard"], height=300)
img_input_3 = gr.Image(label="Image 3 (Drag & Drop)", type="filepath", sources=["upload", "clipboard"], height=300)
prompt_input = gr.Textbox(
label="✍️ Prompt",
placeholder="Describe the image you want to generate or how you want to edit the uploaded images...",
lines=3,
show_copy_button=True,
)
generate_btn = gr.Button("✨ Generate", variant="primary", size="lg")
gr.Markdown("### Output")
with gr.Row():
with gr.Column():
output_image = gr.Image(label="Generated Image", type="filepath", height=400)
with gr.Column():
output_text = gr.Textbox(label="Response / Description", lines=10)
gr.Examples(
examples=[
["Generate a futuristic cyberpunk city with neon lights", None, None, None],
["Describe what is in this image", "https://gradio-builds.s3.amazonaws.com/assets/cheetah-003.jpg", None, None],
["Edit this image: make it look like a painting", None, None, None],
],
inputs=[prompt_input, img_input_1, img_input_2, img_input_3],
)
generate_btn.click(
fn=generate_content,
inputs=[prompt_input, img_input_1, img_input_2, img_input_3, api_key_input],
outputs=[output_image, output_text],
api_visibility="public",
)
demo.launch(
theme=gr.themes.Soft(
primary_hue="indigo",
secondary_hue="cyan",
neutral_hue="slate",
font=gr.themes.GoogleFont("Inter"),
text_size="lg",
spacing_size="lg",
radius_size="md",
).set(
button_primary_background_fill="*primary_500",
button_primary_background_fill_hover="*primary_600",
button_primary_text_color="white",
block_border_width="0px",
block_shadow="*shadow_drop_lg",
),
footer_links=[{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"}],
)