Add README, .gitignore, app.py, and requirements.txt for GeneVis project

.gitignore

@@ -0,0 +1,30 @@
+# Node.js
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.env
+
+# Python
+__pycache__/
+*.py[cod]
+*.so
+*.egg-info/
+*.eggs/
+*.pyo
+
+# Virtual environments
+.venv/
+env/
+venv/
+
+# IDE and Editor files
+.vscode/
+.idea/
+*.swp
+*.swo
+*.tmp
+
+# OS-specific files
+.DS_Store
+Thumbs.db

README.md

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 ---
 license: mit
+tags:
+- stable-diffusion
+- text-to-image
+- diffusers
+- image-generation
 ---
+
+# GeneVis - AI Image Generation Model
+
+GeneVis is a state-of-the-art image generation model built on the Stable Diffusion architecture. This model excels at generating high-quality images from textual descriptions.
+
+## Model Description
+
+GeneVis has been trained to understand and generate diverse visual content based on text prompts. It leverages advanced diffusion techniques to produce detailed and coherent images.
+
+### Key Features
+- High-quality image generation
+- Fast inference time
+- Diverse output styles
+- Customizable generation parameters
+
+## Usage
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipeline = StableDiffusionPipeline.from_pretrained("username/genevis")
+pipeline = pipeline.to("cuda")
+
+prompt = "your text description here"
+image = pipeline(prompt).images[0]
+image.save("generated_image.png")
+```
+
+## Examples
+[Add example images and their prompts here]
+
+## Training
+This model was fine-tuned on [dataset details] using [training details].
+
+## License
+This model is released under the MIT license.

app.py

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+import gradio as gr
+
+def greet(name):
+    return f"Hello, {name}!"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=greet,
+    inputs=gr.Textbox(label="Enter your name"),
+    outputs=gr.Textbox(label="Greeting"),
+    title="Hello World",
+    description="A simple Gradio app that greets you!"
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+gradio