Spaces:
Sleeping
Sleeping
jonnatakusuma
commited on
Commit
•
a105247
1
Parent(s):
d4cbaf8
initial
Browse files- Basic.py +36 -0
- MinuteBot.py +30 -0
- MinuteBotNA.py +35 -0
- packages.txt +1 -0
- procfile +1 -0
- requirements.txt +195 -0
- setup.sh +8 -0
Basic.py
ADDED
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import streamlit as st
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import whisper
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from tempfile import NamedTemporaryFile
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import ffmpeg
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st.title("Whisper App")
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# upload audio file with streamlit
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audio_file = st.file_uploader("Upload Meeting Audio", type=["mp3"])
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# model = whisper.load_model("base") # loading the base model
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st.text("Whisper Model Loaded")
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def load_whisper_model():
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return model
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if st.sidebar.button("Transcribe Audio"):
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if audio_file is not None:
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with NamedTemporaryFile(suffix="mp3") as temp:
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temp.write(audio_file.getvalue())
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temp.seek(0)
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model = whisper.load_model("base")
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result = model.transcribe(temp.name)
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st.write(result["text"])
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# st.sidebar.success("Transcribing Audio")
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# transcription = model.transcribe(audio_file.name)
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# st.sidebar.success("Transcription Complete")
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# st.markdown(transcription["text"])
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# else:
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# st.sidebar.error("Please upload an audio file")
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st.sidebar.header("Play Original Audio File")
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st.sidebar.audio(audio_file)
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MinuteBot.py
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import streamlit as st
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import whisper
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from tempfile import NamedTemporaryFile
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import ffmpeg
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st.title("MinuteBot App")
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# upload audio file with streamlit
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audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav"])
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# model = whisper.load_model("base") # loading the base model
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st.text("MinuteBot Model telah dimuat:")
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def load_whisper_model():
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return model
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if st.sidebar.button("Transkripsikan Audio"):
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if audio_file is not None:
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with NamedTemporaryFile() as temp:
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temp.write(audio_file.getvalue())
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temp.seek(0)
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model = whisper.load_model("large")
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result = model.transcribe(temp.name)
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st.write(result["text"])
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st.sidebar.header("Putar Berkas Audio")
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st.sidebar.audio(audio_file)
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MinuteBotNA.py
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import streamlit as st
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import whisper
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from tempfile import NamedTemporaryFile
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import ffmpeg
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st.title("Whisper App")
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# upload audio file with streamlit
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audio_file = st.file_uploader("Upload Meeting Audio", type=["m4a", "mp3", "wav"])
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st.text("Whisper Model Loaded")
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def load_whisper_model():
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return model
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def convert_m4a_to_mp3(input_path, output_path):
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audio = AudioSegment.from_file(input_path, format="m4a")
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audio.export(output_path, format="mp3")
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if st.sidebar.button("Transcribe Audio"):
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if audio_file is not None:
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with NamedTemporaryFile(suffix="mp3") as temp:
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temp.write(audio_file.getvalue())
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temp.seek(0)
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model = whisper.load_model("base")
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temp_mp3_path = temp.name
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convert_m4a_to_mp3(audio_file, temp_mp3_path)
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result = model.transcribe(temp_mp3_path)
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st.write(result["text"])
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st.sidebar.header("Play Original Audio File")
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st.sidebar.audio(audio_file)
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packages.txt
ADDED
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ffmpeg
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procfile
ADDED
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web: sh setup.sh && streamlit run appv12.py
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requirements.txt
ADDED
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aiofiles==23.1.0
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aiohttp==3.8.4
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aiosignal==1.3.1
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altair==5.0.1
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anyio==3.7.0
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appnope==0.1.3
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asttokens==2.2.1
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async-timeout==4.0.2
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attrs==23.1.0
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backcall==0.2.0
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backoff==2.2.1
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12 |
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bardapi==0.1.26
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13 |
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bcrypt==4.0.1
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14 |
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beautifulsoup4==4.12.2
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15 |
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blinker==1.6.2
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16 |
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browser-cookie3==0.19.1
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17 |
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cachetools==4.2.4
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18 |
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certifi==2023.5.7
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charset-normalizer==3.1.0
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20 |
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chromadb==0.3.25
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click==8.1.3
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clickhouse-connect==0.5.25
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colorama==0.4.6
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24 |
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coloredlogs==15.0.1
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comm==0.1.3
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contourpy==1.1.0
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27 |
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cycler==0.11.0
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28 |
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dataclasses-json==0.5.7
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29 |
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datasets==2.13.1
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debugpy==1.6.7
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31 |
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decorator==5.1.1
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32 |
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deep-translator==1.11.4
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33 |
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deta==1.2.0
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34 |
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dill==0.3.6
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docopt==0.6.2
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36 |
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duckdb==0.8.0
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37 |
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exceptiongroup==1.1.1
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38 |
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executing==1.2.0
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extra-streamlit-components==0.1.56
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40 |
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faiss-cpu==1.7.4
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41 |
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fastapi==0.96.0
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42 |
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ffmpy==0.3.0
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43 |
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ffmpeg-python==0.2.0
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44 |
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filelock==3.12.0
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45 |
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flatbuffers==23.5.26
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46 |
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fonttools==4.41.0
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47 |
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frozenlist==1.3.3
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48 |
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fsspec==2023.5.0
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49 |
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gitdb==4.0.10
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GitPython==3.1.31
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51 |
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google-api-core==1.34.0
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52 |
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google-auth==1.35.0
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53 |
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google-cloud-core==1.7.3
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54 |
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google-cloud-translate==2.0.1
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55 |
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googleapis-common-protos==1.59.1
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56 |
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gradio==3.38.0
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57 |
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gradio_client==0.2.10
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58 |
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grpcio==1.56.0
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59 |
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grpcio-status==1.48.2
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60 |
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h11==0.14.0
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61 |
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h2==4.1.0
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62 |
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hnswlib==0.7.0
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63 |
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hpack==4.0.0
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64 |
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httpcore==0.17.3
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65 |
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httptools==0.5.0
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66 |
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httpx==0.24.1
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67 |
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huggingface-hub==0.15.1
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68 |
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humanfriendly==10.0
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69 |
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hyperframe==6.0.1
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70 |
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idna==3.4
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71 |
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importlib-metadata==6.6.0
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72 |
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InstructorEmbedding==1.0.1
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73 |
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ipykernel==6.24.0
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74 |
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ipython==8.14.0
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75 |
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jedi==0.18.2
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76 |
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Jinja2==3.1.2
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77 |
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joblib==1.2.0
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78 |
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jsonschema==4.17.3
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79 |
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jupyter_client==8.3.0
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80 |
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jupyter_core==5.3.1
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81 |
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kiwisolver==1.4.4
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82 |
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langchain==0.0.189
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83 |
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linkify-it-py==2.0.2
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84 |
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lz4==4.3.2
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85 |
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markdown-it-py==2.2.0
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86 |
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MarkupSafe==2.1.3
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87 |
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marshmallow==3.19.0
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88 |
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marshmallow-enum==1.5.1
|
89 |
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matplotlib==3.7.2
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90 |
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matplotlib-inline==0.1.6
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91 |
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mdit-py-plugins==0.3.3
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92 |
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mdurl==0.1.2
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93 |
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monotonic==1.6
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94 |
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mpmath==1.3.0
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95 |
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multidict==6.0.4
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96 |
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multiprocess==0.70.14
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97 |
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mypy-extensions==1.0.0
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98 |
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nest-asyncio==1.5.6
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99 |
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networkx==3.1
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100 |
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nltk==3.8.1
|
101 |
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numexpr==2.8.4
|
102 |
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numpy==1.24.3
|
103 |
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onnxruntime==1.15.0
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104 |
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openai==0.27.7
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105 |
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openapi-schema-pydantic==1.2.4
|
106 |
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orjson==3.9.2
|
107 |
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overrides==7.3.1
|
108 |
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packaging==23.1
|
109 |
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pandas==2.0.2
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110 |
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parso==0.8.3
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111 |
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pexpect==4.8.0
|
112 |
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pickleshare==0.7.5
|
113 |
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Pillow==9.5.0
|
114 |
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pipreqs==0.4.13
|
115 |
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platformdirs==3.9.1
|
116 |
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posthog==3.0.1
|
117 |
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prompt-toolkit==3.0.39
|
118 |
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protobuf==3.20.3
|
119 |
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psutil==5.9.5
|
120 |
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ptyprocess==0.7.0
|
121 |
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pure-eval==0.2.2
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122 |
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pyarrow==12.0.0
|
123 |
+
pyasn1==0.5.0
|
124 |
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pyasn1-modules==0.3.0
|
125 |
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pycryptodomex==3.18.0
|
126 |
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pydantic==1.10.8
|
127 |
+
pydeck==0.8.1b0
|
128 |
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pydub==0.25.1
|
129 |
+
Pygments==2.15.1
|
130 |
+
PyJWT==2.8.0
|
131 |
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Pympler==1.0.1
|
132 |
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pyparsing==3.0.9
|
133 |
+
pypdf==3.9.0
|
134 |
+
PyPDF2==3.0.1
|
135 |
+
pyrsistent==0.19.3
|
136 |
+
python-dateutil==2.8.2
|
137 |
+
python-dotenv==1.0.0
|
138 |
+
python-multipart==0.0.6
|
139 |
+
pytz==2023.3
|
140 |
+
pytz-deprecation-shim==0.1.0.post0
|
141 |
+
PyYAML==6.0
|
142 |
+
pyzmq==25.1.0
|
143 |
+
regex==2023.6.3
|
144 |
+
requests==2.31.0
|
145 |
+
rich==13.4.1
|
146 |
+
rsa==4.9
|
147 |
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scale-llm-engine==0.0.0b5
|
148 |
+
scikit-learn==1.2.2
|
149 |
+
scipy==1.10.1
|
150 |
+
semantic-version==2.10.0
|
151 |
+
sentence-transformers==2.2.2
|
152 |
+
sentencepiece==0.1.99
|
153 |
+
six==1.16.0
|
154 |
+
smart-open==6.3.0
|
155 |
+
smmap==5.0.0
|
156 |
+
sniffio==1.3.0
|
157 |
+
soupsieve==2.4.1
|
158 |
+
SQLAlchemy==2.0.15
|
159 |
+
stack-data==0.6.2
|
160 |
+
starlette==0.27.0
|
161 |
+
streamlit==1.24.1
|
162 |
+
streamlit-authenticator==0.2.2
|
163 |
+
streamlit-chat==0.1.1
|
164 |
+
sympy==1.12
|
165 |
+
tabulate==0.9.0
|
166 |
+
tenacity==8.2.2
|
167 |
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threadpoolctl==3.1.0
|
168 |
+
tiktoken==0.3.1
|
169 |
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tokenizers==0.13.3
|
170 |
+
toml==0.10.2
|
171 |
+
toolz==0.12.0
|
172 |
+
torch==2.0.1
|
173 |
+
torchvision==0.15.2
|
174 |
+
tornado==6.3.2
|
175 |
+
tqdm==4.65.0
|
176 |
+
traitlets==5.9.0
|
177 |
+
transformers==4.29.2
|
178 |
+
typing-inspect==0.9.0
|
179 |
+
typing_extensions==4.6.3
|
180 |
+
tzdata==2023.3
|
181 |
+
tzlocal==4.3
|
182 |
+
uc-micro-py==1.0.2
|
183 |
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urllib3==2.0.2
|
184 |
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uvicorn==0.22.0
|
185 |
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uvloop==0.17.0
|
186 |
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validators==0.20.0
|
187 |
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watchfiles==0.19.0
|
188 |
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wcwidth==0.2.6
|
189 |
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websockets==11.0.3
|
190 |
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xxhash==3.2.0
|
191 |
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yarg==0.1.9
|
192 |
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yarl==1.9.2
|
193 |
+
zipp==3.15.0
|
194 |
+
zstandard==0.21.0
|
195 |
+
openai-whisper==20230314
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setup.sh
ADDED
@@ -0,0 +1,8 @@
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1 |
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mkdir -p ~/.streamlit/
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2 |
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echo "\
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3 |
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[server]\n\
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4 |
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headless = true\n\
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5 |
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port = $PORT\n\
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6 |
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enableCORS = false\n\
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\n\
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8 |
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" > ~/.streamlit/config.toml
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