📸 PicShot — AI Image Framer

PicShot is an AI-powered image enhancement web app that automatically generates creative frames and captions for uploaded photos.
It uses BLIP (Bootstrapped Language Image Pretraining) for image captioning and OpenAI GPT for concept-based frame styling — all packed in a simple Flask web interface.

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🚀 Features

• 🧠 AI Captioning – BLIP model generates a descriptive caption for your uploaded image.
• 🎨 AI Framing – OpenAI creates a unique artistic frame or themed enhancement based on the image content.
• ⚡ Dynamic Frontend UI – Clean and responsive web interface built with HTML, CSS & JS.
• 💾 Download Output – Download your AI-framed image in one click.
• 🖼️ Instant Preview – Live preview of uploaded image before processing.
• 🔐 CORS Enabled – Secure and accessible Flask API communication.

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🏗️ Tech Stack

Frontend:

• HTML5, CSS3, JavaScript
• Fetch API for async Flask communication

Backend:

• Python (Flask)
• Transformers (BLIP Model)
• OpenAI GPT API
• Pillow (Image Editing)
• Torch (for model inference)

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🧰 Installation & Setup

Follow these steps to run PicShot locally:

# 1️⃣ Clone this repository
git clone https://github.com/Deepak-Birkhani/PicShot.git
cd PicShot

# 2️⃣ Create and activate a virtual environment
python -m venv venv
venv\Scripts\activate   # (Windows)
# or
source venv/bin/activate   # (Linux/Mac)

# 3️⃣ Install dependencies
pip install -r requirements.txt

# 4️⃣ Run the Flask server
python app.py