Add initial implementation for AI Background Replacement app

- Create main application file with image processing functionality
- Add Gradio interface for user interaction
- Include example images for demonstration
- Set up .gitignore to exclude environment variables
- Define project dependencies in requirements.txt

.gitignore

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+.env

app.py

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+import gradio as gr
+import fal_client
+from dotenv import load_dotenv
+import requests
+
+load_dotenv()
+
+def process_image(image, prompt):
+    image_url = fal_client.upload_file(image)
+    arguments = {
+        "image_url": image_url,
+        "prompt": prompt
+    }
+    handler = fal_client.submit(
+        "workflows/acemetrics/bgrep",
+        arguments=arguments
+    )
+    result = fal_client.result("workflows/acemetrics/bgrep", handler.request_id)
+    result_url = result['images'][0]['url']
+    response = requests.get(result_url)
+    temp_output = "temp_output.png"
+    with open(temp_output, "wb") as f:
+        f.write(response.content)
+    
+    return temp_output
+
+with gr.Blocks(title="AI Background Replacement") as demo:
+    
+    with gr.Row():
+        with gr.Column():
+            image_input = gr.Image(label="Upload Image", type="filepath")
+            prompt_input = gr.Textbox(label="Background Prompt", lines=2)
+            process_btn = gr.Button("Replace Background", variant="primary")
+        
+        with gr.Column():
+            output_image = gr.Image(label="Result")
+    
+    gr.Examples(
+        examples=[
+            ["examples/person_hills.jpg", "Snow-covered Alps mountains with falling snow"],
+            ["examples/person_wall.jpg", "Dense forest with trees and natural lighting"],
+            ["examples/person_street.jpg", "Serene ocean beach with soft waves"],
+        ],
+        inputs=[image_input, prompt_input],
+        fn=process_image,
+        outputs=output_image,
+    )
+    
+    process_btn.click(
+        fn=process_image,
+        inputs=[image_input, prompt_input],
+        outputs=output_image
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+fal-client
+python-dotenv
+requests