Update README.md

README.md

@@ -1,70 +1,93 @@
-# 📄 iBoothMe Case Study Generator
-
-This is a Gradio-based AI tool that generates energetic, structured marketing case studies from informal brand activation event descriptions. It supports both **text input** and **audio input**. The audio is transcribed using **OpenAI Whisper**, and the case study is generated using **GPT-4o**.
-
----
-
-## 🚀 Features
-
-- 📝 Paste or write an informal event description  
-- 🎙️ Upload or record audio to transcribe via OpenAI Whisper  
-- 📋 Generates structured case studies in the format: **Challenge**, **Solution**, and optional **Results**  
-- ✨ Uses a pre-defined prompt system to match real-world case study tone and format  
-- 🎛️ Clean, tabbed Gradio UI with audio and text support  
-
----
-
-## 🧱 Tech Stack
-
-- Python 🐍  
-- Gradio 🎛️  
-- OpenAI GPT-4o & Whisper 🧠  
-- dotenv for API key management 🔐  
-
----
-
-## 🧩 File Structure
-
-``` 
-CaseStudy_Generator/
-├── main.py
-├── prompts.py 
-├── .env
-├── requirements.txt 
-└── README.md 
-```
-
----
-
-## 📥 Installation & Setup
-
-### 1. Clone the Repository
-
-```bash
-git clone https://github.com/SummeyaTahir/Clean_CaseStudy_Generator.git
-cd Clean_CaseStudy_Generator
-```
-### 2. (Optional) Create a Virtual Environment
-```bash
-python -m venv venv
-venv\Scripts\activate         # On Windows
-# source venv/bin/activate   # On Mac/Linux
-```
-
-### 3. Install the Requirements
-```bash
-pip install -r requirements.txt
-```
-
-### 3. Create .env File
-Create a .env file in the root directory and paste this into it:
-```bash
-
- OPENAI_API_KEY=your-openai-api-key-here
-```
-### 4. ▶️ Run the App
-```bash
- python main.py
-```
-
-
+
+
+
+---
+title: iBoothMe Case Study Generator
+
+emoji: 📄
+
+colorFrom: indigo
+
+colorTo: pink
+
+sdk: gradio
+
+sdk_version: 4.27.0
+
+app_file: app.py
+
+pinned: false
+
+license: mit
+
+---
+# 📄 iBoothMe Case Study Generator
+
+This is a Gradio-based AI tool that generates energetic, structured marketing case studies from informal brand activation event descriptions. It supports both **text input** and **audio input**. The audio is transcribed using **OpenAI Whisper**, and the case study is generated using **GPT-4o**.
+
+---
+
+## 🚀 Features
+
+- 📝 Paste or write an informal event description  
+- 🎙️ Upload or record audio to transcribe via OpenAI Whisper  
+- 📋 Generates structured case studies in the format: **Challenge**, **Solution**, and optional **Results**  
+- ✨ Uses a pre-defined prompt system to match real-world case study tone and format  
+- 🎛️ Clean, tabbed Gradio UI with audio and text support  
+
+---
+
+## 🧱 Tech Stack
+
+- Python 🐍  
+- Gradio 🎛️  
+- OpenAI GPT-4o & Whisper 🧠  
+- dotenv for API key management 🔐  
+
+---
+
+## 🧩 File Structure
+
+``` 
+CaseStudy_Generator/
+├── main.py
+├── prompts.py 
+├── .env
+├── requirements.txt 
+└── README.md 
+```
+
+---
+
+## 📥 Installation & Setup
+
+### 1. Clone the Repository
+
+```bash
+git clone https://github.com/SummeyaTahir/Clean_CaseStudy_Generator.git
+cd Clean_CaseStudy_Generator
+```
+### 2. (Optional) Create a Virtual Environment
+```bash
+python -m venv venv
+venv\Scripts\activate         # On Windows
+# source venv/bin/activate   # On Mac/Linux
+```
+
+### 3. Install the Requirements
+```bash
+pip install -r requirements.txt
+```
+
+### 3. Create .env File
+Create a .env file in the root directory and paste this into it:
+```bash
+
+ OPENAI_API_KEY=your-openai-api-key-here
+```
+### 4. ▶️ Run the App
+```bash
+ python main.py
+```
+
+