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Update app.py
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app.py
CHANGED
@@ -3,7 +3,7 @@ import os
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import time
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import uuid
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import tempfile
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from PIL import Image
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import gradio as gr
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import base64
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import mimetypes
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@@ -20,10 +20,8 @@ def generate(text, file_name, api_key, model="gemini-2.0-flash-exp"):
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client = genai.Client(api_key=(api_key.strip() if api_key and api_key.strip() != ""
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else os.environ.get("GEMINI_API_KEY")))
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files = [
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]
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contents = [
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types.Content(
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role="user",
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@@ -41,13 +39,13 @@ def generate(text, file_name, api_key, model="gemini-2.0-flash-exp"):
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top_p=0.95,
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top_k=40,
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max_output_tokens=8192,
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response_modalities=[
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"image",
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"text",
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],
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response_mime_type="text/plain",
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)
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
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temp_path = tmp.name
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for chunk in client.models.generate_content_stream(
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@@ -57,19 +55,20 @@ def generate(text, file_name, api_key, model="gemini-2.0-flash-exp"):
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):
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if not chunk.candidates or not chunk.candidates[0].content or not chunk.candidates[0].content.parts:
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continue
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else:
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del files
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return
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-
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def process_image_and_prompt(composite_pil, prompt, gemini_api_key):
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try:
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@@ -77,61 +76,59 @@ def process_image_and_prompt(composite_pil, prompt, gemini_api_key):
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
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composite_path = tmp.name
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composite_pil.save(composite_path)
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file_name = composite_path
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input_text = prompt
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model = "gemini-2.0-flash-exp"
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result_img =
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except Exception as e:
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raise gr.Error(f"Error Getting {e}", duration=5)
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# Build a Blocks-based interface
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with gr.Blocks() as demo:
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# HTML Header for the application.
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gr.HTML(
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"""
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<div style='display: flex; align-items: center; justify-content: center; gap: 20px'>
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</div>
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"""
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)
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["data/2807615.jpg", "make it happy looking face only"],
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]
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gr.Markdown("Upload an image and enter a prompt to generate outputs in the gallery. Do not Use NFSW Images")
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with gr.Row():
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with gr.Column():
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@@ -143,7 +140,7 @@ with gr.Blocks() as demo:
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gemini_api_key = gr.Textbox(
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lines=1,
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placeholder="Enter Gemini API Key (optional)",
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label="Gemini API Key (optional)
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)
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prompt_input = gr.Textbox(
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lines=2,
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@@ -153,18 +150,30 @@ with gr.Blocks() as demo:
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submit_btn = gr.Button("Generate")
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with gr.Column():
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output_gallery = gr.Gallery(label="Generated Outputs")
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# Set up the interaction.
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submit_btn.click(
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fn=process_image_and_prompt,
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inputs=[image_input, prompt_input, gemini_api_key],
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outputs=output_gallery,
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)
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gr.Examples(
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examples=examples,
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inputs=[image_input, prompt_input, gemini_api_key],
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label="Try these examples"
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)
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demo.queue(max_size=500).launch()
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import time
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import uuid
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import tempfile
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from PIL import Image, ImageDraw, ImageFont
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import gradio as gr
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import base64
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import mimetypes
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client = genai.Client(api_key=(api_key.strip() if api_key and api_key.strip() != ""
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else os.environ.get("GEMINI_API_KEY")))
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files = [ client.files.upload(file=file_name) ]
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contents = [
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types.Content(
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role="user",
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top_p=0.95,
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top_k=40,
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max_output_tokens=8192,
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response_modalities=["image", "text"],
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response_mime_type="text/plain",
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)
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text_response = ""
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image_path = None
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# Create a temporary file to potentially store image data.
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
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temp_path = tmp.name
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for chunk in client.models.generate_content_stream(
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):
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if not chunk.candidates or not chunk.candidates[0].content or not chunk.candidates[0].content.parts:
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continue
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candidate = chunk.candidates[0].content.parts[0]
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# Check for inline image data
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if candidate.inline_data:
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save_binary_file(temp_path, candidate.inline_data.data)
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print(f"File of mime type {candidate.inline_data.mime_type} saved to: {temp_path} and prompt input: {text}")
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image_path = temp_path
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# If an image is found, we assume that is the desired output.
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break
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else:
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# Accumulate text response if no inline_data is present.
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text_response += chunk.text + "\n"
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del files
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return image_path, text_response
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def process_image_and_prompt(composite_pil, prompt, gemini_api_key):
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try:
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
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composite_path = tmp.name
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composite_pil.save(composite_path)
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file_name = composite_path
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input_text = prompt
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model = "gemini-2.0-flash-exp"
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image_path, text_response = generate(text=input_text, file_name=file_name, api_key=gemini_api_key, model=model)
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if image_path:
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# Load and convert the image if needed.
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result_img = Image.open(image_path)
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if result_img.mode == "RGBA":
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result_img = result_img.convert("RGB")
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return [result_img], "" # Return image in gallery and empty text output.
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else:
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# Return no image and the text response.
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return None, text_response
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except Exception as e:
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raise gr.Error(f"Error Getting {e}", duration=5)
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# Build a Blocks-based interface with a custom HTML header.
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with gr.Blocks() as demo:
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gr.HTML(
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"""
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<div style='display: flex; align-items: center; justify-content: center; gap: 20px'>
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<div style="background-color: var(--block-background-fill); border-radius: 8px">
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<img src="https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png" style="width: 100px; height: 100px;">
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</div>
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<div>
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<h1>Gen AI Image Editing</h1>
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<p>Gemini for Image Editing</p>
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<p>Powered by <a href="https://gradio.app/">Gradio</a> β‘οΈ</p>
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<p>Duplicate Repo <a href="https://huggingface.co/spaces/ameerazam08/Gemini-Image-Edit?duplicate=true">Duplicate</a></p>
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<p>Get an API Key <a href="https://aistudio.google.com/apikey">here</a></p>
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<p>Follow me on Twitter: <a href="https://x.com/Ameerazam18">Ameerazam18</a></p>
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</div>
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</div>
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"""
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)
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gr.Markdown("""
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## β οΈ API Configuration β οΈ
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- **Issue:** β Sometimes the model returns text instead of an image, causing failures when saving as an image.
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### π§ Steps to Address:
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1. **π οΈ Duplicate the Repository**
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- Create a separate copy for modifications.
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2. **π Use Your Own Gemini API Key**
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- You **must** configure your own Gemini key for generation!
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---
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### π Usage
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- Upload an image and enter a prompt to generate outputs.
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- If text is returned instead of an image, it will appear in the text output.
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- β **Do not use NSFW images!**
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""")
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with gr.Row():
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with gr.Column():
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gemini_api_key = gr.Textbox(
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lines=1,
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placeholder="Enter Gemini API Key (optional)",
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label="Gemini API Key (optional)"
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)
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prompt_input = gr.Textbox(
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lines=2,
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submit_btn = gr.Button("Generate")
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with gr.Column():
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output_gallery = gr.Gallery(label="Generated Outputs")
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output_text = gr.Textbox(label="Gemini Output", placeholder="Text response will appear here if no image is generated.")
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# Set up the interaction with two outputs.
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submit_btn.click(
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fn=process_image_and_prompt,
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inputs=[image_input, prompt_input, gemini_api_key],
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outputs=[output_gallery, output_text],
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)
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examples = [
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["data/1.webp", 'change text to "AMEER"', ""],
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["data/2.webp", "remove the spoon from hand only", ""],
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["data/3.webp", 'change text to "Make it "', ""],
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["data/1.jpg", "add joker style only on face", ""],
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["data/1777043.jpg", "add joker style only on face", ""],
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["data/2807615.jpg", "add lipstick on lip only", ""],
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["data/76860.jpg", "add lipstick on lip only", ""],
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["data/2807615.jpg", "make it happy looking face only", ""],
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]
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gr.Examples(
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examples=examples,
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inputs=[image_input, prompt_input, gemini_api_key],
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label="Try these examples"
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)
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demo.queue(max_size=500).launch()
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