Delete app.py

app.py

@@ -1,195 +0,0 @@
-import json
-import os
-import time
-import uuid
-import tempfile
-from PIL import Image, ImageDraw, ImageFont
-import gradio as gr
-import base64
-import mimetypes
-
-from google import genai
-from google.genai import types
-
-def save_binary_file(file_name, data):
-    with open(file_name, "wb") as f:
-        f.write(data)
-
-def generate(text, file_name, api_key, model="gemini-2.0-flash-exp"):
-    # Initialize client using provided api_key (or fallback to env variable)
-    client = genai.Client(api_key=(api_key.strip() if api_key and api_key.strip() != ""
-                                     else os.environ.get("GEMINI_API_KEY")))
-    
-    files = [ client.files.upload(file=file_name) ]
-    
-    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=text),
-            ],
-        ),
-    ]
-    generate_content_config = types.GenerateContentConfig(
-        temperature=1,
-        top_p=0.95,
-        top_k=40,
-        max_output_tokens=8192,
-        response_modalities=["image", "text"],
-        response_mime_type="text/plain",
-    )
-
-    text_response = ""
-    image_path = None
-    # Create a temporary file to potentially store image data.
-    with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
-        temp_path = tmp.name
-        for chunk in client.models.generate_content_stream(
-            model=model,
-            contents=contents,
-            config=generate_content_config,
-        ):
-            if not chunk.candidates or not chunk.candidates[0].content or not chunk.candidates[0].content.parts:
-                continue
-            candidate = chunk.candidates[0].content.parts[0]
-            # Check for inline image data
-            if candidate.inline_data:
-                save_binary_file(temp_path, candidate.inline_data.data)
-                print(f"File of mime type {candidate.inline_data.mime_type} saved to: {temp_path} and prompt input: {text}")
-                image_path = temp_path
-                # If an image is found, we assume that is the desired output.
-                break
-            else:
-                # Accumulate text response if no inline_data is present.
-                text_response += chunk.text + "\n"
-    
-    del files
-    return image_path, text_response
-
-def process_image_and_prompt(composite_pil, prompt, gemini_api_key):
-    try:
-        # Save the composite image to a temporary file.
-        with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
-            composite_path = tmp.name
-            composite_pil.save(composite_path)
-        
-        file_name = composite_path  
-        input_text = prompt 
-        model = "gemini-2.0-flash-exp" 
-
-        image_path, text_response = generate(text=input_text, file_name=file_name, api_key=gemini_api_key, model=model)
-        
-        if image_path:
-            # Load and convert the image if needed.
-            result_img = Image.open(image_path)
-            if result_img.mode == "RGBA":
-                result_img = result_img.convert("RGB")
-            return [result_img], ""  # Return image in gallery and empty text output.
-        else:
-            # Return no image and the text response.
-            return None, text_response
-    except Exception as e:
-        raise gr.Error(f"Error Getting {e}", duration=5)
-
-
-# Build a Blocks-based interface with a custom HTML header and CSS
-with gr.Blocks(css_paths="style.css",) as demo:
-    # Custom HTML header with proper class for styling
-    gr.HTML(
-    """
-    <div class="header-container">
-      <div>
-          <img src="https://www.gstatic.com/lamda/images/gemini_favicon_f069958c85030456e93de685481c559f160ea06b.png" alt="Gemini logo">
-      </div>
-      <div>
-          <h1>Gemini for Image Editing</h1>
-          <p>Powered by <a href="https://gradio.app/">Gradio</a>⚡️| 
-          <a href="https://huggingface.co/spaces/ameerazam08/Gemini-Image-Edit?duplicate=true">Duplicate</a> this Repo |
-          <a href="https://aistudio.google.com/apikey">Get an API Key</a> | 
-          Follow me on Twitter: <a href="https://x.com/Ameerazam18">Ameerazam18</a></p>
-      </div>
-    </div>
-    """
-    )
-    
-    with gr.Accordion("⚠️ API Configuration ⚠️", open=False, elem_classes="config-accordion"):
-        gr.Markdown("""
-    - **Issue:** ❗ Sometimes the model returns text instead of an image.  
-    ### 🔧 Steps to Address:
-    1. **🛠️ Duplicate the Repository**  
-       - Create a separate copy for modifications.  
-    2. **🔑 Use Your Own Gemini API Key**  
-       - You **must** configure your own Gemini key for generation!  
-    """)
-
-    with gr.Accordion("📌 Usage Instructions", open=False, elem_classes="instructions-accordion"):
-        gr.Markdown("""
-    ### 📌 Usage  
-    - Upload an image and enter a prompt to generate outputs.
-    - If text is returned instead of an image, it will appear in the text output.
-    - Upload Only PNG Image
-    - ❌ **Do not use NSFW images!**
-    """)
-
-    with gr.Row(elem_classes="main-content"):
-        with gr.Column(elem_classes="input-column"):
-            image_input = gr.Image(
-                type="pil",
-                label="Upload Image",
-                image_mode="RGBA",
-                elem_id="image-input",
-                elem_classes="upload-box"
-            )
-            gemini_api_key = gr.Textbox(
-                lines=1,
-                placeholder="Enter Gemini API Key (optional)",
-                label="Gemini API Key (optional)",
-                elem_classes="api-key-input"
-            )
-            prompt_input = gr.Textbox(
-                lines=2,
-                placeholder="Enter prompt here...",
-                label="Prompt",
-                elem_classes="prompt-input"
-            )
-            submit_btn = gr.Button("Generate", elem_classes="generate-btn")
-        
-        with gr.Column(elem_classes="output-column"):
-            output_gallery = gr.Gallery(label="Generated Outputs", elem_classes="output-gallery")
-            output_text = gr.Textbox(
-                label="Gemini Output", 
-                placeholder="Text response will appear here if no image is generated.",
-                elem_classes="output-text"
-            )
-
-    # Set up the interaction with two outputs.
-    submit_btn.click(
-        fn=process_image_and_prompt,
-        inputs=[image_input, prompt_input, gemini_api_key],
-        outputs=[output_gallery, output_text],
-    )
-    
-    gr.Markdown("## Try these examples", elem_classes="gr-examples-header")
-    
-    examples = [
-        ["data/1.webp", 'change text to "AMEER"', ""],
-        ["data/2.webp", "remove the spoon from hand only", ""],
-        ["data/3.webp", 'change text to "Make it "', ""],
-        ["data/1.jpg", "add joker style only on face", ""],
-        ["data/1777043.jpg", "add joker style only on face", ""],
-        ["data/2807615.jpg", "add lipstick on lip only", ""],
-        ["data/76860.jpg", "add lipstick on lip only", ""],
-        ["data/2807615.jpg", "make it happy looking face only", ""],
-    ]
-    
-    gr.Examples(
-        examples=examples,
-        inputs=[image_input, prompt_input,],
-        elem_id="examples-grid"
-    )
-
-demo.queue(max_size=50).launch(mcp_server=True)