README.md

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# ======= Configuration Block (YAML Front Matter) =======
# This section configures your Hugging Face Space.
# Values are based on the documentation you provided.

# --- Basic Info ---
# (Required) Title shown on the Space page and card
title: My Awesome App 
# (Required) Emoji shown on the Space card (find emojis at https://getemoji.com/)
emoji: 🚀 
# (Optional) Color gradient for the Space card
colorFrom: blue 
colorTo: green 
# (Required) The type of application: gradio, streamlit, docker, or static
sdk: gradio # IMPORTANT: Change this if you are using Streamlit, Docker, or just HTML files!
# (Optional) Specify the Python version (default is 3.10)
python_version: 3.10 
# (Optional) Specify the SDK version (e.g., Gradio version). If omitted, HF uses a default.
# sdk_version: 4.1.0 # Uncomment and set if you need a specific Gradio/Streamlit version
# (Optional) Specify the main application file (default is app.py for Gradio/Streamlit)
# app_file: my_application_script.py # Uncomment and change if your main file isn't called app.py

# --- Optional Info ---
# (Optional) A short description for the Space card
short_description: A cool demo of [Your App's Technology/Purpose]. 
# (Optional) List of tags to help others find your Space
# tags: [text-generation, machine-learning, demo] # Uncomment and add relevant tags
# (Optional) Keep this Space pinned at the top of your profile
# pinned: false 

# ======= End of Configuration Block =======
---

# ======= Description Content (Markdown) =======
# This part is displayed on your Space's page.
# Write in Markdown format (https://www.markdownguide.org/basic-syntax/).

# My Awesome App 🚀

**➡️ Short Description:** [**Replace this with a one-sentence description of what your application does.**] 
*Example: This Space uses Gradio to demonstrate a simple image classification model.*

## 🤔 What does it do?

[**Replace this with a more detailed explanation of your application. What problem does it solve? What features does it have?**]
*Example:*
*   *Upload an image.*
*   *The app predicts what object is in the image.*
*   *It shows the top 3 predictions and their confidence scores.*

## 🚀 How to use it?

[**Replace this with simple instructions for users.**]
*Example:*
*1. Click on the 'Upload Image' box or drag and drop an image file.*
*2. Wait for the prediction to appear below.*
*3. That's it!*

## 🛠️ Dependencies

This application requires the libraries listed in the `requirements.txt` file. Hugging Face Spaces automatically installs these when the Space builds.

## 📄 Files

*   `app.py`: The main application code (using Gradio/Streamlit). [**Update if your filename is different!**]
*   `requirements.txt`: Lists the Python libraries needed.
*   `README.md`: This file (configuration and description).
*   [**Add any other important files here, like model files, helper scripts, etc.**]

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*Space created by [Your Name/Username]*