diff --git a/.github/workflows/ci-cd.yaml b/.github/workflows/ci-cd.yaml
new file mode 100644
index 0000000..591ea9d
--- /dev/null
+++ b/.github/workflows/ci-cd.yaml
@@ -0,0 +1,33 @@
+# Copyright Jiaqi Liu
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+---
+name: CI/CD
+
+on:
+  pull_request:
+  push:
+    branches: [master]
+
+jobs:
+  sync-to-huggingface-space:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        run: git push https://QubitPi:$HF_TOKEN@huggingface.co/spaces/QubitPi/tiger master:main -f
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..d868f45
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+.venv
+.idea/
+.DS_Store
+__pycache__
diff --git "a/01_\360\237\216\245_Input_YouTube_Link.py" "b/01_\360\237\216\245_Input_YouTube_Link.py"
new file mode 100644
index 0000000..ab467ae
--- /dev/null
+++ "b/01_\360\237\216\245_Input_YouTube_Link.py"
@@ -0,0 +1,258 @@
+import whisper
+from pytubefix import YouTube
+from pytubefix.cli import on_progress
+import requests
+import time
+import streamlit as st
+from streamlit_lottie import st_lottie
+import numpy as np
+import os
+from typing import Iterator
+from io import StringIO
+from utils import write_vtt, write_srt
+import ffmpeg
+from languages import LANGUAGES
+import torch
+from zipfile import ZipFile
+from io import BytesIO
+import base64
+import pathlib
+import re
+
+st.set_page_config(page_title="Auto Subtitled Video Generator", page_icon=":movie_camera:", layout="wide")
+
+torch.cuda.is_available()
+DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
+# Model options: tiny, base, small, medium, large
+loaded_model = whisper.load_model("small", device=DEVICE)
+current_size = "None"
+
+
+
+# Define a function that we can use to load lottie files from a link.
+def load_lottieurl(url: str):
+    r = requests.get(url)
+    if r.status_code != 200:
+        return None
+    return r.json()
+
+APP_DIR = pathlib.Path(__file__).parent.absolute()
+
+LOCAL_DIR = APP_DIR / "local_youtube"
+LOCAL_DIR.mkdir(exist_ok=True)
+save_dir = LOCAL_DIR / "output"
+save_dir.mkdir(exist_ok=True)
+
+
+
+col1, col2 = st.columns([1, 3])
+with col1:
+    lottie = load_lottieurl("https://assets8.lottiefiles.com/packages/lf20_jh9gfdye.json")
+    st_lottie(lottie)
+
+with col2:
+    st.write("""
+    ## Auto Subtitled Video Generator 
+    ##### Input a YouTube video link and get a video with subtitles.
+    ###### ➠ If you want to transcribe the video in its original language, select the task as "Transcribe"
+    ###### ➠ If you want to translate the subtitles to English, select the task as "Translate" 
+    ###### I recommend starting with the base model and then experimenting with the larger models, the small and medium models often work well. """)
+
+
+def download_video(link):
+    yt = YouTube(link, on_progress_callback=on_progress)
+    ys = yt.streams.get_highest_resolution()
+    video = ys.download(filename=f"{save_dir}/youtube_video.mp4")
+    return video
+
+
+def convert(seconds):
+    return time.strftime("%H:%M:%S", time.gmtime(seconds))
+
+
+def change_model(current_size, size):
+    if current_size != size:
+        loaded_model = whisper.load_model(size)
+        return loaded_model
+    else:
+        raise Exception("Model size is the same as the current size.")
+
+
+def inference(link, loaded_model, task):
+    yt = YouTube(link, on_progress_callback=on_progress)
+    ys = yt.streams.get_audio_only()
+    path = ys.download(filename=f"{save_dir}/audio.mp3", mp3=True)
+    if task == "Transcribe":
+        options = dict(task="transcribe", best_of=5)
+        results = loaded_model.transcribe(path, **options)
+        vtt = getSubs(results["segments"], "vtt", 80)
+        srt = getSubs(results["segments"], "srt", 80)
+        lang = results["language"]
+        return results["text"], vtt, srt, lang
+    elif task == "Translate":
+        options = dict(task="translate", best_of=5)
+        results = loaded_model.transcribe(path, **options)
+        vtt = getSubs(results["segments"], "vtt", 80)
+        srt = getSubs(results["segments"], "srt", 80)
+        lang = results["language"]
+        return results["text"], vtt, srt, lang
+    else:
+        raise ValueError("Task not supported")
+
+
+def getSubs(segments: Iterator[dict], format: str, maxLineWidth: int) -> str:
+    segmentStream = StringIO()
+
+    if format == 'vtt':
+        write_vtt(segments, file=segmentStream, maxLineWidth=maxLineWidth)
+    elif format == 'srt':
+        write_srt(segments, file=segmentStream, maxLineWidth=maxLineWidth)
+    else:
+        raise Exception("Unknown format " + format)
+
+    segmentStream.seek(0)
+    return segmentStream.read()
+
+
+def get_language_code(language):
+    if language in LANGUAGES.keys():
+        detected_language = LANGUAGES[language]
+        return detected_language
+    else:
+        raise ValueError("Language not supported")
+
+
+def generate_subtitled_video(video, audio, transcript):
+    video_file = ffmpeg.input(video)
+    audio_file = ffmpeg.input(audio)
+    ffmpeg.concat(video_file.filter("subtitles", transcript), audio_file, v=1, a=1).output("youtube_sub.mp4").run(quiet=True, overwrite_output=True)
+    video_with_subs = open("youtube_sub.mp4", "rb")
+    return video_with_subs        
+    
+
+def main():
+    size = st.selectbox("Select Model Size (The larger the model, the more accurate the transcription will be, but it will take longer)", ["tiny", "base", "small", "medium", "large-v3"], index=1)
+    loaded_model = change_model(current_size, size)
+    st.write(f"Model is {'multilingual' if loaded_model.is_multilingual else 'English-only'} "
+        f"and has {sum(np.prod(p.shape) for p in loaded_model.parameters()):,} parameters.")
+    link = st.text_input("YouTube Link (The longer the video, the longer the processing time)", placeholder="Input YouTube link and press enter")
+    task = st.selectbox("Select Task", ["Transcribe", "Translate"], index=0)
+    if task == "Transcribe":
+        if st.button("Transcribe"):
+            with st.spinner("Transcribing the video..."):
+                results = inference(link, loaded_model, task)
+            video = download_video(link)
+            lang = results[3]
+            detected_language = get_language_code(lang)
+                
+            col3, col4 = st.columns(2)
+            with col3:
+                st.video(video)
+            
+            # Split result["text"]  on !,? and . , but save the punctuation
+            sentences = re.split("([!?.])", results[0])
+            # Join the punctuation back to the sentences
+            sentences = ["".join(i) for i in zip(sentences[0::2], sentences[1::2])]
+            text = "\n\n".join(sentences)
+            with open("transcript.txt", "w+", encoding='utf8') as f:
+                f.writelines(text)
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.txt"), "rb") as f:
+                datatxt = f.read()
+                
+            with open("transcript.vtt", "w+",encoding='utf8') as f:
+                f.writelines(results[1])
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.vtt"), "rb") as f:
+                datavtt = f.read()
+                
+            with open("transcript.srt", "w+",encoding='utf8') as f:
+                f.writelines(results[2])
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.srt"), "rb") as f:
+                datasrt = f.read()
+  
+            with col4:
+                with st.spinner("Generating Subtitled Video"):
+                    video_with_subs = generate_subtitled_video(video, f"{save_dir}/audio.mp3", "transcript.srt")
+                st.video(video_with_subs)
+                st.balloons()
+
+            zipObj = ZipFile("YouTube_transcripts_and_video.zip", "w")
+            zipObj.write("transcript.txt")
+            zipObj.write("transcript.vtt")
+            zipObj.write("transcript.srt")
+            zipObj.write("youtube_sub.mp4")
+            zipObj.close()
+            ZipfileDotZip = "YouTube_transcripts_and_video.zip"
+            with open(ZipfileDotZip, "rb") as f:
+                datazip = f.read()
+                b64 = base64.b64encode(datazip).decode()
+                href = f"<a href=\"data:file/zip;base64,{b64}\" download='{ZipfileDotZip}'>\
+        Download Transcripts and Video\
+    </a>"
+            st.markdown(href, unsafe_allow_html=True)
+            
+    elif task == "Translate":
+        if st.button("Translate to English"):
+            with st.spinner("Translating to English..."):
+                results = inference(link, loaded_model, task)
+            video = download_video(link)
+            lang = results[3]
+            detected_language = get_language_code(lang)
+                
+            col3, col4 = st.columns(2)
+            with col3:
+                st.video(video)
+                
+            # Split result["text"]  on !,? and . , but save the punctuation
+            sentences = re.split("([!?.])", results[0])
+            # Join the punctuation back to the sentences
+            sentences = ["".join(i) for i in zip(sentences[0::2], sentences[1::2])]
+            text = "\n\n".join(sentences)
+            with open("transcript.txt", "w+", encoding='utf8') as f:
+                f.writelines(text)
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.txt"), "rb") as f:
+                datatxt = f.read()
+                
+            with open("transcript.vtt", "w+",encoding='utf8') as f:
+                f.writelines(results[1])
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.vtt"), "rb") as f:
+                datavtt = f.read()
+                
+            with open("transcript.srt", "w+",encoding='utf8') as f:
+                f.writelines(results[2])
+                f.close()
+            with open(os.path.join(os.getcwd(), "transcript.srt"), "rb") as f:
+                datasrt = f.read()
+                       
+            with col4:
+                with st.spinner("Generating Subtitled Video"):
+                    video_with_subs = generate_subtitled_video(video, f"{save_dir}/audio.mp3", "transcript.srt")
+                st.video(video_with_subs)
+                st.balloons()
+            
+            zipObj = ZipFile("YouTube_transcripts_and_video.zip", "w")
+            zipObj.write("transcript.txt")
+            zipObj.write("transcript.vtt")
+            zipObj.write("transcript.srt")
+            zipObj.write("youtube_sub.mp4")
+            zipObj.close()
+            ZipfileDotZip = "YouTube_transcripts_and_video.zip"
+            with open(ZipfileDotZip, "rb") as f:
+                datazip = f.read()
+                b64 = base64.b64encode(datazip).decode()
+                href = f"<a href=\"data:file/zip;base64,{b64}\" download='{ZipfileDotZip}'>\
+        Download Transcripts and Video\
+    </a>"
+            st.markdown(href, unsafe_allow_html=True)
+            
+    else:
+        st.info("Please select a task.")
+
+
+if __name__ == "__main__":
+    main()
+    
\ No newline at end of file
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..7d7429c
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
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+
+   6. Trademarks. This License does not grant permission to use the trade
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+   7. Disclaimer of Warranty. Unless required by applicable law or
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+      Contributor provides its Contributions) on an "AS IS" BASIS,
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+   8. Limitation of Liability. In no event and under no legal theory,
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+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
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+      or other liability obligations and/or rights consistent with this
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+      on Your own behalf and on Your sole responsibility, not on behalf
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+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
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+   Copyright 2024 Jiaqi Liu
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
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diff --git a/README.md b/README.md
new file mode 100644
index 0000000..8876be4
--- /dev/null
+++ b/README.md
@@ -0,0 +1,6 @@
+Tiger
+=====
+
+![Python Version Badge][Python Version Badge]
+
+Tiger is a Hugging Face space that helps language learner to extract movie subtitles
diff --git a/languages.py b/languages.py
new file mode 100644
index 0000000..0551511
--- /dev/null
+++ b/languages.py
@@ -0,0 +1,101 @@
+LANGUAGES = {
+    "en": "eng",
+    "zh": "zho",
+    "de": "deu",
+    "es": "spa",
+    "ru": "rus",
+    "ko": "kor",
+    "fr": "fra",
+    "ja": "jpn",
+    "pt": "por",
+    "tr": "tur",
+    "pl": "pol",
+    "ca": "cat",
+    "nl": "nld",
+    "ar": "ara",
+    "sv": "swe",
+    "it": "ita",
+    "id": "ind",
+    "hi": "hin",
+    "fi": "fin",
+    "vi": "vie",
+    "iw": "heb",
+    "uk": "ukr",
+    "el": "ell",
+    "ms": "msa",
+    "cs": "ces",
+    "ro": "ron",
+    "da": "dan",
+    "hu": "hun",
+    "ta": "tam",
+    "no": "nor",
+    "th": "tha",
+    "ur": "urd",
+    "hr": "hrv",
+    "bg": "bul",
+    "lt": "lit",
+    "la": "lat",
+    "mi": "mri",
+    "ml": "mal",
+    "cy": "cym",
+    "sk": "slk",
+    "te": "tel",
+    "fa": "fas",
+    "lv": "lav",
+    "bn": "ben",
+    "sr": "srp",
+    "az": "aze",
+    "sl": "slv",
+    "kn": "kan",
+    "et": "est",
+    "mk": "mkd",
+    "br": "bre",
+    "eu": "eus",
+    "is": "isl",
+    "hy": "hye",
+    "ne": "nep",
+    "mn": "mon",
+    "bs": "bos",
+    "kk": "kaz",
+    "sq": "sqi",
+    "sw": "swa",
+    "gl": "glg",
+    "mr": "mar",
+    "pa": "pan",
+    "si": "sin",
+    "km": "khm",
+    "sn": "sna",
+    "yo": "yor",
+    "so": "som",
+    "af": "afr",
+    "oc": "oci",
+    "ka": "kat",
+    "be": "bel",
+    "tg": "tgk",
+    "sd": "snd",
+    "gu": "guj",
+    "am": "amh",
+    "yi": "yid",
+    "lo": "lao",
+    "uz": "uzb",
+    "fo": "fao",
+    "ht": "hat",
+    "ps": "pus",
+    "tk": "tuk",
+    "nn": "nno",
+    "mt": "mlt",
+    "sa": "san",
+    "lb": "ltz",
+    "my": "mya",
+    "bo": "bod",
+    "tl": "tgl",
+    "mg": "mlg",
+    "as": "asm",
+    "tt": "tat",
+    "haw": "haw",
+    "ln": "lin",
+    "ha": "hau",
+    "ba": "bak",
+    "jw": "jav",
+    "su": "sun",
+}
\ No newline at end of file
diff --git a/packages.txt b/packages.txt
new file mode 100644
index 0000000..20645e6
--- /dev/null
+++ b/packages.txt
@@ -0,0 +1 @@
+ffmpeg
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..17f7a3f
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,10 @@
+ffmpeg==1.4
+ffmpeg_python==0.2.0
+numpy==1.23.3
+pytubefix==6.13.0
+requests==2.32.3
+streamlit==1.37.1
+streamlit_lottie==0.0.3
+torch==2.4.0
+transformers==4.44.0
+openai-whisper
\ No newline at end of file