Turkish Audio & Text Summarizer

🚀 A powerful tool to transcribe and summarize Turkish audio and text using state-of-the-art AI models.

📌 Features

• 🎧 Transcribe: Convert speech to text from an uploaded audio file.
• ✍️ Summarize: Extract key points from Turkish text input.
• 🔄 Transcribe & Summarize: Convert speech to text and then generate a summary.

📸 Screenshots

✍️ Summarization Page

🔄 Transcribe & Summarize Page

🛠️ Technologies Used

• FastAPI (Backend API)
• Streamlit (Frontend UI)
• Whisper (Speech-to-Text)
• Helsinki-NLP Models (Turkish-English Translation)
• BART (Summarization Model)
• PyTorch (Machine Learning Framework)

🚀 Installation & Setup

🔹 Step 1: Clone the Repository

git clone https://github.com/ziftgny/turkish-audio-summarizer.git
cd turkish-audio-summarizer

🔹 Step 2: Create a Virtual Environment

python -m venv venv
source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate  # On Windows

🔹 Step 3: Install Dependencies

pip install -r requirements.txt

🔹 Step 4: Run the Backend API (FastAPI)

uvicorn main:app --reload

🔹 Step 5: Run the Frontend (Streamlit)

streamlit run ui.py