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.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.wasm filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
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.gitignore

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+__pycache__/
+*.pyc
+*.pyo
+.env

Dockerfile

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+# Use an official Python base image
+FROM python:3.10-slim
+
+# Install FFmpeg (required by Whisper)
+RUN apt-get update && \
+    apt-get install -y ffmpeg && \
+    apt-get clean
+
+# Set working directory
+WORKDIR /app
+
+# Copy code
+COPY ./app /app
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Download NLTK tokenizer
+RUN python -m nltk.downloader punkt
+
+# Expose port
+EXPOSE 7860
+
+# Run the FastAPI app using uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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----
-title: Yte
-emoji: 📚
-colorFrom: purple
-colorTo: green
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# YouTube Video Transcriber
+
+This Space allows you to transcribe any YouTube video into readable text using Whisper.
+
+## How to Use
+
+1. Enter a YouTube video URL.
+2. Click "Transcribe".
+3. Wait a few seconds and view the transcription below.
+
+Powered by FastAPI, Whisper, and Hugging Face Spaces (Docker deployment).

requirements.txt

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+fastapi
+uvicorn
+pytubefix
+openai-whisper
+nltk