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Update app.py
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app.py
CHANGED
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@@ -4,16 +4,16 @@ import mimetypes
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import tempfile
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import time
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import google.generativeai as genai
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from google.generativeai import types
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import gradio as gr
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def generate_image(api_key, prompt, file_name):
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# Validate inputs
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if not api_key:
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return None, "Please enter your Gemini API key"
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if not prompt:
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return None, "Please enter a prompt
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if not file_name:
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file_name = f"gemini_image_{int(time.time())}"
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@@ -40,9 +40,27 @@ def generate_image(api_key, prompt, file_name):
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generated_image_path = None
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generation_text = ""
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# Generate the content
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response = model.generate_content(
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generation_config=generation_config,
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stream=True
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)
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@@ -67,7 +85,7 @@ def generate_image(api_key, prompt, file_name):
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if generated_image_path:
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return generated_image_path, generation_text
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else:
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return None, "No image was generated. Try a different prompt."
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except Exception as e:
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return None, f"Error: {str(e)}"
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@@ -89,6 +107,10 @@ def create_ui():
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placeholder="Describe the image you want to generate",
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lines=3
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)
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file_name = gr.Textbox(
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label="Output File Name (optional)",
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placeholder="Enter a file name (without extension)"
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@@ -101,7 +123,7 @@ def create_ui():
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generate_btn.click(
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fn=generate_image,
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inputs=[api_key, prompt, file_name],
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outputs=[output_image, output_text]
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)
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@@ -109,11 +131,13 @@ def create_ui():
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## How to use
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1. Enter your Gemini API key (get one from https://ai.google.dev/)
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2. Write a detailed prompt describing the image you want to generate
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3. (Optional)
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4.
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## Notes
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- The model used is `gemini-2.0-flash-exp-image-generation`
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- All safety filters are set to "BLOCK_NONE" - use responsibly
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- Image generation may take a few seconds to complete
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""")
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import tempfile
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import time
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import google.generativeai as genai
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import gradio as gr
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from PIL import Image as PILImage
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def generate_image(api_key, prompt, input_image, file_name):
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# Validate inputs
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if not api_key:
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return None, "Please enter your Gemini API key"
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if not prompt and input_image is None:
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return None, "Please enter a prompt and/or upload an input image"
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if not file_name:
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file_name = f"gemini_image_{int(time.time())}"
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generated_image_path = None
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generation_text = ""
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# Prepare content based on inputs
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content = []
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# Add text prompt if provided
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if prompt:
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content.append(prompt)
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# Add image if provided
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if input_image is not None:
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# If the input is a file path (string), open the image
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if isinstance(input_image, str):
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img = PILImage.open(input_image)
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content.append(img)
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# If the input is already a numpy array from Gradio
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else:
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img = PILImage.fromarray(input_image)
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content.append(img)
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# Generate the content
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response = model.generate_content(
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content,
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generation_config=generation_config,
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stream=True
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)
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if generated_image_path:
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return generated_image_path, generation_text
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else:
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return None, "No image was generated. Try a different prompt or input image."
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except Exception as e:
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return None, f"Error: {str(e)}"
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placeholder="Describe the image you want to generate",
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lines=3
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)
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input_image = gr.Image(
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label="Input Image (Optional)",
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type="numpy"
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)
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file_name = gr.Textbox(
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label="Output File Name (optional)",
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placeholder="Enter a file name (without extension)"
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generate_btn.click(
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fn=generate_image,
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inputs=[api_key, prompt, input_image, file_name],
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outputs=[output_image, output_text]
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)
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## How to use
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1. Enter your Gemini API key (get one from https://ai.google.dev/)
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2. Write a detailed prompt describing the image you want to generate
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3. (Optional) Upload an input image to influence the generation
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4. (Optional) Provide a file name for your generated image
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5. Click "Generate Image" and wait for the result
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## Notes
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- The model used is `gemini-2.0-flash-exp-image-generation`
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- You can use text prompts, input images, or both together
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- All safety filters are set to "BLOCK_NONE" - use responsibly
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- Image generation may take a few seconds to complete
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""")
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