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from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
import gradio as gr
import base64
import os
def generate_image(prompt):
"""
Transforms text into an image.
Args:
prompt: A natural language instruction that is used to generate an image.
Returns:
An image.
"""
api_key = os.getenv("GEMINI_API_KEY")
client = genai.Client(api_key=api_key)
prompt = tuple(prompt)
response = client.models.generate_content(
model="gemini-2.0-flash-preview-image-generation",
contents=prompt,
config=types
.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE']
)
)
for part in response.candidates[0].content.parts:
if part.text is not None:
pass
elif part.inline_data is not None:
image = Image.open(BytesIO((part.inline_data.data)))
# image.save('gemini-native-image.png')
# display(image)
return image
# build gradio interface
app = gr.Interface(fn = generate_image,
inputs = gr.Text(label="Prompt",placeholder="Type your prompt here. . ."),
outputs = gr.Image(label="Generated Image"),
title="Gemini Image Generator",
examples=["A 3D rendering of a little black girl wearing a colorful dress and smiling broadly at the camera",
"Disney and Pixar-style playful bunny skipping about in a garden full of carrots and lettuce",
"A black female superhero with braided hair flying over a over an active volcano with a fiery red sky",
"A black jazz musician playing his saxophone and surrounded by colorful musical notes."])
# launch application
if __name__ == "__main__":
app.launch(mcp_server = True) |