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init: Upload PA source code and enviroment seting
Browse files- app.py +264 -0
- env_set.py +17 -0
- requirements.txt +426 -0
app.py
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1 |
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import env_set
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env_set.env_set()
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import streamlit as st
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import time
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import numpy as np
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import pandas as pd
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from sklearn import datasets
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from sklearn.ensemble import RandomForestClassifier
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import PyPDF2
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import openai
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import subprocess
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# text2ppt 프롬프트 생성 함수
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def generate_text2ppt_input_prompt(input_type, input_value, input_pages):
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header = """
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너가 Marp 문법으로 PPT를 제작하는 디자이너라고 가정하고, %s장의 PPT를 작성해.
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+
+++ 아래 내용 또는 링크를 요약해서 마크다운 언어로 작성하는데, === 아래 규칙과 지키고, ~~~ 아래 슬라이드 예시를 참고해.
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+++
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""" % input_pages
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summary_value = ""
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if input_type == "링크":
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summary_value += input_value
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summary_value += "텍스트"
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elif input_type == "text":
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summary_value += input_value
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summary_value += "\n"
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elif input_type == "PDF":
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with open(input_value, 'rb') as pdf_file:
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pdf_reader = PyPDF2.PdfReader(pdf_file)
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num_pages = len(pdf_reader.pages)
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# 각 페이지의 내용을 문자열로 변환합니다.
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text = ""
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for page_num in range(num_pages):
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page = pdf_reader.pages[page_num]
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text += page.extract_text()
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summary_value += text
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summary_value += "\n"
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else:
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print("ERROR: 잘못된 입력")
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rule_value = """
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===
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- 제시한 내용 또는 링크의 내용에 대해서만 사실적으로 작성해줘.
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- 슬라이드 구분자로 ---를 무조건 사용해줘.
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- 주제에 적절한 도형, 이미지(![이미지](이미지링크), https://unsplash.com/ko/images/stock/non-copyrighted 에서 실제로 사용 가능한), 표(|-|), 인용(>), 강조(bold, ``), 이모지(https://kr.piliapp.com/twitter-symbols/), 아이콘 (https://kr.piliapp.com/symbol/#popular) 등이 다양하게 슬라이드를 디자인하고 배치해줘.
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- 이모지는 최대 2 페이지에 한 번만 사용하고, 다른 디자인을 다양하게 사용해줘.
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- 이미지와 표를 사용할 때, 페이지 크기와 고려해서 글 내용이 모두 나타나도록 크기를 지정해줘.
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- Slide 1를 제목으로 해서 총 %s장이야.
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- PPT의 내용을 풍부하게 마크다운으로 작성해줘.
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- 슬라이드 별로 설명하지말고, 코드만 작성해줘.
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- 예시의 내용을 사용해서 작성하지말고, 형식만 참고해.
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~~~
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<!-- Slide 0. 슬라이드 주제 -->
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# 슬라이드 제목
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![이미지링크](https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo-with-title.png)
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- ChatGPT를 활용한 🤗**TEXT2PPT 서비스 PA!**입니다.
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- `링크`,`텍스트`, `PDF`를 입력 또는 업로드하면, PPT로 변환합니다.
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""" % input_pages
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return header + summary_value + rule_value
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# text2ppt 실행 함수
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def text2ppt(token_key, input_prompt, input_theme):
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openai.api_key = token_key
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messages = [
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{"role": "system", "content": "You are a kind helpful PPT designer."},
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]
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message = input_prompt
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if message:
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messages.append(
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{"role": "user", "content": message},
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)
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chat = openai.ChatCompletion.create(
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model="gpt-3.5-turbo-0301", messages=messages
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)
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reply = chat.choices[0].message.content
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messages.append({"role": "assistant", "content": reply})
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revised_reply = reply[4:] if reply[:3] == "---" else reply
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ppt_theme = input_theme
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marp_header = """---
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marp: true
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theme: %s
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footer: 'PA!(Presentation Assistant)'
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paginate: true
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---
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""" % input_theme
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md_text = marp_header + revised_reply
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md_text_list = md_text.split('\n')
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# writedata.py
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f = open("text2ppt_test.md", 'w')
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for i in range(0, len(md_text_list)):
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data = md_text_list[i] + "\n"
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f.write(data)
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f.close()
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subprocess.run(
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f"npx @marp-team/marp-cli@latest --pdf-fonts-dir=/usr/share/fonts/truetype/nanum --pdf-default-font=NanumGothic -o output.pdf text2ppt_test.md --chrome-path=/usr/bin/google-chrome-stable",
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shell=True)
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def ppt2script(token_key, input_file, input_type):
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openai.api_key = token_key
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with open(input_file, 'rb') as pdf_file:
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pdf_reader = PyPDF2.PdfReader(pdf_file)
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num_pages = len(pdf_reader.pages)
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+
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# 각 페이지의 내용을 문자열로 변환합니다.
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text = ""
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for page_num in range(num_pages):
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page = pdf_reader.pages[page_num]
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+
text += "[PAGE_NUM " + str(page_num + 1) + "]"
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text += page.extract_text()
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+
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header = """
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+
너는는 PPT 발표에 도움을 주는 조력자야.
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~~~아래 규칙을 지키고, --- 아래 PPT 내용에 대해 발표 스크립트를 한글로 작성해.
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~~~
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- [PAGE_NUM 1] 일 때, 여기서 1은 페이지 번호인데, 페이지 번호마다 발표 스크립트를 작성해.
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- 마크다운 언어를 쓰지않고, 텍스트로만 작성해.
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- PPT 내용에 추가적인 설명이나 사례를 덧붙여줘.
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---
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"""
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input_prompt = header + text
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messages = [
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{"role": "system", "content": "You are a kind helpful PPT Assistant."},
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]
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message = input_prompt
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152 |
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if message:
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messages.append(
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{"role": "user", "content": message},
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)
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chat = openai.ChatCompletion.create(
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model="gpt-3.5-turbo-0301", messages=messages
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)
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+
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reply = chat.choices[0].message.content
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messages.append({"role": "assistant", "content": reply})
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+
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return reply
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+
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+
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####### 화면 시작 ########
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tab1, tab2, tab3 = st.tabs(['PA!란?', 'Text2PPT', 'PPT2Script'])
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with tab1:
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st.header('소개')
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st.title('PA!(Presentation Assistant):sparkles:')
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contents = """
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: 사용자가 입력한 내용을 기반으로 PPT를 :blue[자동 제작]하고,
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+
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프레젠테이션 :red[스크립트를 제공]하여 프레젠테이션 역량을 향상시킵니다!"""
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st.markdown(contents)
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st.markdown('-------------------------')
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st.header('사용법')
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st.subheader('Text2PPT')
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contents = """
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: 사용자에게 링크나 파일을 전달받으면 그 내용으로 :blue[발표 자료를 제작]해 드립니다!
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+
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사용자는 원하는 테마(템플릿) 종류와 페이지 수만 선택하세요!"""
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st.markdown(contents)
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st.subheader('PPT2Script')
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contents = """
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: ppt 또는 pdf 발표 자료를 사용자로부터 제공받으면 자동으로 :blue[발표 대본]을 만들어드립니다!"""
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st.markdown(contents)
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with tab2:
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st.header('Text2PPT')
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gpt_token = st.text_input('챗 gpt토큰을 입력해 주세요.', key="<Text2PPT_token>")
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st.markdown('-------------------------')
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st.subheader(':computer:문서 ppt 자동 생성기:computer:')
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thema_select = st.selectbox(
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'원하는 테마를 선택하세요',
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['default', 'gaia', 'uncover'])
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st.markdown('-------------------------')
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page_choice = st.slider('ppt 페이지 장수', min_value=2, max_value=10, step=1, value=5)
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+
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st.markdown('-------------------------')
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my_order = ['텍스트', '링크', 'PDF']
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status = st.radio('파일 종류를 선택하고 내용을 입력하세요! :smile: ', my_order)
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+
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# 첫번째 방법
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if status == my_order[0]:
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input_text = st.text_area('text를 입력하세요', height=5)
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+
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elif status == my_order[1]:
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input_text = st.text_area('url를 입력하세요', height=5)
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+
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elif status == my_order[2]:
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input_text = st.file_uploader('파일을 업로드 하세요', type=['pdf'])
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+
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input_text_check = st.button('확인', key="<Text2PPT_start>") # 이 버튼 누르면 입력텍스트가 넘어가게 해야함
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st.markdown('-------------------------')
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if input_text_check == True:
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with st.spinner('Wait for it...'):
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text2ppt(gpt_token, generate_text2ppt_input_prompt(status, input_text, page_choice), thema_select)
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with open("output.pdf", "rb") as pdf_file:
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PDFbyte = pdf_file.read()
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st.success('Done!')
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st.download_button(label="Download PPT",
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data=PDFbyte,
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file_name="export_output.pdf",
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mime='application/octet-stream', key="<Text2PPT_download>")
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+
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with tab3:
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st.header('PPT2Script')
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gpt_token = st.text_input('챗gpt토큰을 입력해주세요.', key="<PPT2Script_token>")
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st.markdown('-------------------------')
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+
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st.subheader(':bookmark_tabs:발표 대본 생성기')
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file_order = ['PDF', 'PPT']
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choose = st.radio('발표 자료의 파일 형식을 선택해 주세요', file_order)
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+
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if choose == file_order[0]:
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uploaded_file = st.file_uploader('Choose File!', type='pdf')
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elif choose == file_order[1]:
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uploaded_file = st.file_uploader('Choose File!', type='pptx')
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+
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input_file_check = st.button('확인', key="<PPT2Script_start>") # 이 버튼 누르면 입력 파일이 넘어가게 해야함
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st.markdown('-------------------------')
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if input_file_check == True:
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with st.spinner('Wait for it...'):
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with open(uploaded_file.name, mode='wb') as w:
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257 |
+
w.write(uploaded_file.getvalue())
|
258 |
+
|
259 |
+
script = ppt2script(gpt_token, uploaded_file.name, choose)
|
260 |
+
|
261 |
+
st.success('Done!')
|
262 |
+
st.download_button('Download Script',
|
263 |
+
data=script, file_name="script_output.txt", key="<PPT2Script_download>")
|
264 |
+
|
env_set.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import subprocess
|
2 |
+
|
3 |
+
def env_set():
|
4 |
+
subprocess.run(f"pip install streamlit", shell=True)
|
5 |
+
subprocess.run(f"pip install pyngrok", shell=True)
|
6 |
+
subprocess.run(f"pip install -q openai", shell=True)
|
7 |
+
subprocess.run(f"pip install PyPDF2", shell=True)
|
8 |
+
subprocess.run(f"pip install python-pptx==0.6.18", shell=True)
|
9 |
+
subprocess.run(f"sudo apt-get install -f", shell=True)
|
10 |
+
subprocess.run(f"sudo apt-get install -y fonts-nanum", shell=True)
|
11 |
+
subprocess.run(f"sudo fc-cache -fv", shell=True)
|
12 |
+
subprocess.run(f"rm ~/.cache/matplotlib -rf", shell=True)
|
13 |
+
subprocess.run(f"curl https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb -o chrome.deb", shell=True)
|
14 |
+
subprocess.run(f"curl https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb -o chrome.deb", shell=True)
|
15 |
+
subprocess.run(f"dpkg --install chrome.deb", shell=True)
|
16 |
+
subprocess.run(f"apt-get install --fix-broken --assume-yes", shell=True)
|
17 |
+
|
requirements.txt
ADDED
@@ -0,0 +1,426 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
absl-py==1.4.0
|
2 |
+
aiohttp==3.8.4
|
3 |
+
aiosignal==1.3.1
|
4 |
+
alabaster==0.7.13
|
5 |
+
albumentations==1.2.1
|
6 |
+
altair==4.2.2
|
7 |
+
anyio==3.6.2
|
8 |
+
appdirs==1.4.4
|
9 |
+
argon2-cffi==21.3.0
|
10 |
+
argon2-cffi-bindings==21.2.0
|
11 |
+
arviz==0.15.1
|
12 |
+
astropy==5.2.2
|
13 |
+
astunparse==1.6.3
|
14 |
+
async-timeout==4.0.2
|
15 |
+
attrs==22.2.0
|
16 |
+
audioread==3.0.0
|
17 |
+
autograd==1.5
|
18 |
+
Babel==2.12.1
|
19 |
+
backcall==0.2.0
|
20 |
+
beautifulsoup4==4.11.2
|
21 |
+
bleach==6.0.0
|
22 |
+
blinker==1.6.2
|
23 |
+
blis==0.7.9
|
24 |
+
blosc2==2.0.0
|
25 |
+
bokeh==2.4.3
|
26 |
+
branca==0.6.0
|
27 |
+
CacheControl==0.12.11
|
28 |
+
cached-property==1.5.2
|
29 |
+
cachetools==5.3.0
|
30 |
+
catalogue==2.0.8
|
31 |
+
certifi==2022.12.7
|
32 |
+
cffi==1.15.1
|
33 |
+
chardet==4.0.0
|
34 |
+
charset-normalizer==2.0.12
|
35 |
+
chex==0.1.7
|
36 |
+
click==8.1.3
|
37 |
+
cloudpickle==2.2.1
|
38 |
+
cmake==3.25.2
|
39 |
+
cmdstanpy==1.1.0
|
40 |
+
colorcet==3.0.1
|
41 |
+
colorlover==0.3.0
|
42 |
+
community==1.0.0b1
|
43 |
+
confection==0.0.4
|
44 |
+
cons==0.4.5
|
45 |
+
contextlib2==0.6.0.post1
|
46 |
+
contourpy==1.0.7
|
47 |
+
convertdate==2.4.0
|
48 |
+
cryptography==40.0.1
|
49 |
+
cufflinks==0.17.3
|
50 |
+
cvxopt==1.3.0
|
51 |
+
cvxpy==1.3.1
|
52 |
+
cycler==0.11.0
|
53 |
+
cymem==2.0.7
|
54 |
+
Cython==0.29.34
|
55 |
+
dask==2022.12.1
|
56 |
+
datascience==0.17.6
|
57 |
+
db-dtypes==1.1.1
|
58 |
+
dbus-python==1.2.16
|
59 |
+
debugpy==1.6.6
|
60 |
+
decorator==4.4.2
|
61 |
+
defusedxml==0.7.1
|
62 |
+
distributed==2022.12.1
|
63 |
+
dlib==19.24.1
|
64 |
+
dm-tree==0.1.8
|
65 |
+
docutils==0.16
|
66 |
+
dopamine-rl==4.0.6
|
67 |
+
earthengine-api==0.1.348
|
68 |
+
easydict==1.10
|
69 |
+
ecos==2.0.12
|
70 |
+
editdistance==0.6.2
|
71 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
|
72 |
+
entrypoints==0.4
|
73 |
+
ephem==4.1.4
|
74 |
+
et-xmlfile==1.1.0
|
75 |
+
etils==1.2.0
|
76 |
+
etuples==0.3.8
|
77 |
+
exceptiongroup==1.1.1
|
78 |
+
fastai==2.7.12
|
79 |
+
fastcore==1.5.29
|
80 |
+
fastdownload==0.0.7
|
81 |
+
fastjsonschema==2.16.3
|
82 |
+
fastprogress==1.0.3
|
83 |
+
fastrlock==0.8.1
|
84 |
+
filelock==3.11.0
|
85 |
+
firebase-admin==5.3.0
|
86 |
+
Flask==2.2.3
|
87 |
+
flatbuffers==23.3.3
|
88 |
+
flax==0.6.8
|
89 |
+
folium==0.14.0
|
90 |
+
fonttools==4.39.3
|
91 |
+
frozendict==2.3.7
|
92 |
+
frozenlist==1.3.3
|
93 |
+
fsspec==2023.4.0
|
94 |
+
future==0.18.3
|
95 |
+
gast==0.4.0
|
96 |
+
GDAL==3.3.2
|
97 |
+
gdown==4.6.6
|
98 |
+
gensim==4.3.1
|
99 |
+
geographiclib==2.0
|
100 |
+
geopy==2.3.0
|
101 |
+
gin-config==0.5.0
|
102 |
+
gitdb==4.0.10
|
103 |
+
GitPython==3.1.31
|
104 |
+
glob2==0.7
|
105 |
+
google==2.0.3
|
106 |
+
google-api-core==2.11.0
|
107 |
+
google-api-python-client==2.84.0
|
108 |
+
google-auth==2.17.2
|
109 |
+
google-auth-httplib2==0.1.0
|
110 |
+
google-auth-oauthlib==1.0.0
|
111 |
+
google-cloud-bigquery==3.9.0
|
112 |
+
google-cloud-bigquery-storage==2.19.1
|
113 |
+
google-cloud-core==2.3.2
|
114 |
+
google-cloud-datastore==2.15.1
|
115 |
+
google-cloud-firestore==2.11.0
|
116 |
+
google-cloud-language==2.9.1
|
117 |
+
google-cloud-storage==2.8.0
|
118 |
+
google-cloud-translate==3.11.1
|
119 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz
|
120 |
+
google-crc32c==1.5.0
|
121 |
+
google-pasta==0.2.0
|
122 |
+
google-resumable-media==2.4.1
|
123 |
+
googleapis-common-protos==1.59.0
|
124 |
+
googledrivedownloader==0.4
|
125 |
+
graphviz==0.20.1
|
126 |
+
greenlet==2.0.2
|
127 |
+
grpcio==1.53.0
|
128 |
+
grpcio-status==1.48.2
|
129 |
+
gspread==3.4.2
|
130 |
+
gspread-dataframe==3.0.8
|
131 |
+
gym==0.25.2
|
132 |
+
gym-notices==0.0.8
|
133 |
+
h5netcdf==1.1.0
|
134 |
+
h5py==3.8.0
|
135 |
+
HeapDict==1.0.1
|
136 |
+
hijri-converter==2.2.4
|
137 |
+
holidays==0.22
|
138 |
+
holoviews==1.15.4
|
139 |
+
html5lib==1.1
|
140 |
+
httpimport==1.3.0
|
141 |
+
httplib2==0.21.0
|
142 |
+
humanize==4.6.0
|
143 |
+
hyperopt==0.2.7
|
144 |
+
idna==3.4
|
145 |
+
imageio==2.25.1
|
146 |
+
imageio-ffmpeg==0.4.8
|
147 |
+
imagesize==1.4.1
|
148 |
+
imbalanced-learn==0.10.1
|
149 |
+
imgaug==0.4.0
|
150 |
+
importlib-metadata==6.3.0
|
151 |
+
importlib-resources==5.12.0
|
152 |
+
imutils==0.5.4
|
153 |
+
inflect==6.0.4
|
154 |
+
iniconfig==2.0.0
|
155 |
+
intel-openmp==2023.1.0
|
156 |
+
ipykernel==5.5.6
|
157 |
+
ipython==7.34.0
|
158 |
+
ipython-genutils==0.2.0
|
159 |
+
ipython-sql==0.4.1
|
160 |
+
ipywidgets==7.7.1
|
161 |
+
itsdangerous==2.1.2
|
162 |
+
jax==0.4.8
|
163 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.7+cuda11.cudnn86-cp39-cp39-manylinux2014_x86_64.whl
|
164 |
+
jieba==0.42.1
|
165 |
+
Jinja2==3.1.2
|
166 |
+
joblib==1.2.0
|
167 |
+
jsonpickle==3.0.1
|
168 |
+
jsonschema==4.3.3
|
169 |
+
jupyter-client==6.1.12
|
170 |
+
jupyter-console==6.1.0
|
171 |
+
jupyter-server==1.23.6
|
172 |
+
jupyter_core==5.3.0
|
173 |
+
jupyterlab-pygments==0.2.2
|
174 |
+
jupyterlab-widgets==3.0.7
|
175 |
+
kaggle==1.5.13
|
176 |
+
keras==2.12.0
|
177 |
+
keras-vis==0.4.1
|
178 |
+
kiwisolver==1.4.4
|
179 |
+
korean-lunar-calendar==0.3.1
|
180 |
+
langcodes==3.3.0
|
181 |
+
lazy_loader==0.2
|
182 |
+
libclang==16.0.0
|
183 |
+
librosa==0.10.0.post2
|
184 |
+
lightgbm==3.3.5
|
185 |
+
lit==16.0.1
|
186 |
+
llvmlite==0.39.1
|
187 |
+
locket==1.0.0
|
188 |
+
logical-unification==0.4.5
|
189 |
+
LunarCalendar==0.0.9
|
190 |
+
lxml==4.9.2
|
191 |
+
Markdown==3.4.3
|
192 |
+
markdown-it-py==2.2.0
|
193 |
+
MarkupSafe==2.1.2
|
194 |
+
matplotlib==3.7.1
|
195 |
+
matplotlib-inline==0.1.6
|
196 |
+
matplotlib-venn==0.11.9
|
197 |
+
mdurl==0.1.2
|
198 |
+
miniKanren==1.0.3
|
199 |
+
missingno==0.5.2
|
200 |
+
mistune==0.8.4
|
201 |
+
mizani==0.8.1
|
202 |
+
mkl==2019.0
|
203 |
+
ml-dtypes==0.0.4
|
204 |
+
mlxtend==0.14.0
|
205 |
+
more-itertools==9.1.0
|
206 |
+
moviepy==1.0.3
|
207 |
+
mpmath==1.3.0
|
208 |
+
msgpack==1.0.5
|
209 |
+
multidict==6.0.4
|
210 |
+
multipledispatch==0.6.0
|
211 |
+
multitasking==0.0.11
|
212 |
+
murmurhash==1.0.9
|
213 |
+
music21==8.1.0
|
214 |
+
natsort==8.3.1
|
215 |
+
nbclient==0.7.3
|
216 |
+
nbconvert==6.5.4
|
217 |
+
nbformat==5.8.0
|
218 |
+
nest-asyncio==1.5.6
|
219 |
+
networkx==3.1
|
220 |
+
nibabel==3.0.2
|
221 |
+
nltk==3.8.1
|
222 |
+
notebook==6.4.8
|
223 |
+
numba==0.56.4
|
224 |
+
numexpr==2.8.4
|
225 |
+
numpy==1.22.4
|
226 |
+
oauth2client==4.1.3
|
227 |
+
oauthlib==3.2.2
|
228 |
+
openai==0.27.4
|
229 |
+
opencv-contrib-python==4.7.0.72
|
230 |
+
opencv-python==4.7.0.72
|
231 |
+
opencv-python-headless==4.7.0.72
|
232 |
+
openpyxl==3.0.10
|
233 |
+
opt-einsum==3.3.0
|
234 |
+
optax==0.1.4
|
235 |
+
orbax==0.1.7
|
236 |
+
osqp==0.6.2.post0
|
237 |
+
packaging==23.0
|
238 |
+
palettable==3.3.1
|
239 |
+
pandas==1.5.3
|
240 |
+
pandas-datareader==0.10.0
|
241 |
+
pandas-gbq==0.17.9
|
242 |
+
pandocfilters==1.5.0
|
243 |
+
panel==0.14.4
|
244 |
+
param==1.13.0
|
245 |
+
parso==0.8.3
|
246 |
+
partd==1.3.0
|
247 |
+
pathlib==1.0.1
|
248 |
+
pathy==0.10.1
|
249 |
+
patsy==0.5.3
|
250 |
+
pep517==0.13.0
|
251 |
+
pexpect==4.8.0
|
252 |
+
pickleshare==0.7.5
|
253 |
+
Pillow==8.4.0
|
254 |
+
pip-tools==6.6.2
|
255 |
+
platformdirs==3.2.0
|
256 |
+
plotly==5.13.1
|
257 |
+
plotnine==0.10.1
|
258 |
+
pluggy==1.0.0
|
259 |
+
pooch==1.6.0
|
260 |
+
portpicker==1.3.9
|
261 |
+
prefetch-generator==1.0.3
|
262 |
+
preshed==3.0.8
|
263 |
+
prettytable==0.7.2
|
264 |
+
proglog==0.1.10
|
265 |
+
progressbar2==4.2.0
|
266 |
+
prometheus-client==0.16.0
|
267 |
+
promise==2.3
|
268 |
+
prompt-toolkit==3.0.38
|
269 |
+
prophet==1.1.2
|
270 |
+
proto-plus==1.22.2
|
271 |
+
protobuf==3.20.3
|
272 |
+
psutil==5.9.4
|
273 |
+
psycopg2==2.9.6
|
274 |
+
ptyprocess==0.7.0
|
275 |
+
py-cpuinfo==9.0.0
|
276 |
+
py4j==0.10.9.7
|
277 |
+
pyarrow==9.0.0
|
278 |
+
pyasn1==0.4.8
|
279 |
+
pyasn1-modules==0.2.8
|
280 |
+
pycocotools==2.0.6
|
281 |
+
pycparser==2.21
|
282 |
+
pyct==0.5.0
|
283 |
+
pydantic==1.10.7
|
284 |
+
pydata-google-auth==1.7.0
|
285 |
+
pydeck==0.8.1b0
|
286 |
+
pydot==1.4.2
|
287 |
+
pydot-ng==2.0.0
|
288 |
+
pydotplus==2.0.2
|
289 |
+
PyDrive==1.3.1
|
290 |
+
pyerfa==2.0.0.3
|
291 |
+
pygame==2.3.0
|
292 |
+
Pygments==2.14.0
|
293 |
+
PyGObject==3.36.0
|
294 |
+
pymc==5.1.2
|
295 |
+
PyMeeus==0.5.12
|
296 |
+
Pympler==1.0.1
|
297 |
+
pymystem3==0.2.0
|
298 |
+
pyngrok==6.0.0
|
299 |
+
PyOpenGL==3.1.6
|
300 |
+
pyparsing==3.0.9
|
301 |
+
PyPDF2==3.0.1
|
302 |
+
pyrsistent==0.19.3
|
303 |
+
PySocks==1.7.1
|
304 |
+
pytensor==2.10.1
|
305 |
+
pytest==7.2.2
|
306 |
+
python-apt==0.0.0
|
307 |
+
python-dateutil==2.8.2
|
308 |
+
python-louvain==0.16
|
309 |
+
python-pptx==0.6.18
|
310 |
+
python-slugify==8.0.1
|
311 |
+
python-utils==3.5.2
|
312 |
+
pytz==2022.7.1
|
313 |
+
pytz-deprecation-shim==0.1.0.post0
|
314 |
+
pyviz-comms==2.2.1
|
315 |
+
PyWavelets==1.4.1
|
316 |
+
PyYAML==6.0
|
317 |
+
pyzmq==23.2.1
|
318 |
+
qdldl==0.1.7
|
319 |
+
qudida==0.0.4
|
320 |
+
regex==2022.10.31
|
321 |
+
requests==2.27.1
|
322 |
+
requests-oauthlib==1.3.1
|
323 |
+
requests-unixsocket==0.2.0
|
324 |
+
rich==13.3.3
|
325 |
+
rpy2==3.5.5
|
326 |
+
rsa==4.9
|
327 |
+
scikit-image==0.19.3
|
328 |
+
scikit-learn==1.2.2
|
329 |
+
scipy==1.10.1
|
330 |
+
scs==3.2.3
|
331 |
+
seaborn==0.12.2
|
332 |
+
Send2Trash==1.8.0
|
333 |
+
shapely==2.0.1
|
334 |
+
six==1.16.0
|
335 |
+
sklearn-pandas==2.2.0
|
336 |
+
smart-open==6.3.0
|
337 |
+
smmap==5.0.0
|
338 |
+
sniffio==1.3.0
|
339 |
+
snowballstemmer==2.2.0
|
340 |
+
sortedcontainers==2.4.0
|
341 |
+
soundfile==0.12.1
|
342 |
+
soupsieve==2.4
|
343 |
+
soxr==0.3.5
|
344 |
+
spacy==3.5.1
|
345 |
+
spacy-legacy==3.0.12
|
346 |
+
spacy-loggers==1.0.4
|
347 |
+
Sphinx==3.5.4
|
348 |
+
sphinxcontrib-applehelp==1.0.4
|
349 |
+
sphinxcontrib-devhelp==1.0.2
|
350 |
+
sphinxcontrib-htmlhelp==2.0.1
|
351 |
+
sphinxcontrib-jsmath==1.0.1
|
352 |
+
sphinxcontrib-qthelp==1.0.3
|
353 |
+
sphinxcontrib-serializinghtml==1.1.5
|
354 |
+
SQLAlchemy==2.0.9
|
355 |
+
sqlparse==0.4.3
|
356 |
+
srsly==2.4.6
|
357 |
+
statsmodels==0.13.5
|
358 |
+
streamlit==1.21.0
|
359 |
+
sympy==1.11.1
|
360 |
+
tables==3.8.0
|
361 |
+
tabulate==0.8.10
|
362 |
+
tblib==1.7.0
|
363 |
+
tenacity==8.2.2
|
364 |
+
tensorboard==2.12.1
|
365 |
+
tensorboard-data-server==0.7.0
|
366 |
+
tensorboard-plugin-wit==1.8.1
|
367 |
+
tensorflow==2.12.0
|
368 |
+
tensorflow-datasets==4.8.3
|
369 |
+
tensorflow-estimator==2.12.0
|
370 |
+
tensorflow-gcs-config==2.12.0
|
371 |
+
tensorflow-hub==0.13.0
|
372 |
+
tensorflow-io-gcs-filesystem==0.32.0
|
373 |
+
tensorflow-metadata==1.13.0
|
374 |
+
tensorflow-probability==0.19.0
|
375 |
+
tensorstore==0.1.35
|
376 |
+
termcolor==2.2.0
|
377 |
+
terminado==0.17.1
|
378 |
+
text-unidecode==1.3
|
379 |
+
textblob==0.17.1
|
380 |
+
tf-slim==1.1.0
|
381 |
+
thinc==8.1.9
|
382 |
+
threadpoolctl==3.1.0
|
383 |
+
tifffile==2023.3.21
|
384 |
+
tinycss2==1.2.1
|
385 |
+
toml==0.10.2
|
386 |
+
tomli==2.0.1
|
387 |
+
toolz==0.12.0
|
388 |
+
torch @ https://download.pytorch.org/whl/cu118/torch-2.0.0%2Bcu118-cp39-cp39-linux_x86_64.whl
|
389 |
+
torchaudio @ https://download.pytorch.org/whl/cu118/torchaudio-2.0.1%2Bcu118-cp39-cp39-linux_x86_64.whl
|
390 |
+
torchdata==0.6.0
|
391 |
+
torchsummary==1.5.1
|
392 |
+
torchtext==0.15.1
|
393 |
+
torchvision @ https://download.pytorch.org/whl/cu118/torchvision-0.15.1%2Bcu118-cp39-cp39-linux_x86_64.whl
|
394 |
+
tornado==6.2
|
395 |
+
tqdm==4.65.0
|
396 |
+
traitlets==5.7.1
|
397 |
+
triton==2.0.0
|
398 |
+
tweepy==4.13.0
|
399 |
+
typer==0.7.0
|
400 |
+
typing_extensions==4.5.0
|
401 |
+
tzdata==2023.3
|
402 |
+
tzlocal==4.3
|
403 |
+
uritemplate==4.1.1
|
404 |
+
urllib3==1.26.15
|
405 |
+
validators==0.20.0
|
406 |
+
vega-datasets==0.9.0
|
407 |
+
wasabi==1.1.1
|
408 |
+
watchdog==3.0.0
|
409 |
+
wcwidth==0.2.6
|
410 |
+
webcolors==1.13
|
411 |
+
webencodings==0.5.1
|
412 |
+
websocket-client==1.5.1
|
413 |
+
Werkzeug==2.2.3
|
414 |
+
widgetsnbextension==3.6.4
|
415 |
+
wordcloud==1.8.2.2
|
416 |
+
wrapt==1.14.1
|
417 |
+
xarray==2022.12.0
|
418 |
+
xarray-einstats==0.5.1
|
419 |
+
xgboost==1.7.5
|
420 |
+
xlrd==2.0.1
|
421 |
+
XlsxWriter==3.1.0
|
422 |
+
yarl==1.8.2
|
423 |
+
yellowbrick==1.5
|
424 |
+
yfinance==0.2.17
|
425 |
+
zict==2.2.0
|
426 |
+
zipp==3.15.0
|