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Create app.py
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app.py
ADDED
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import streamlit as st
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import time
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# Initialize slide index in session state if not already set
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if "slide_idx" not in st.session_state:
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st.session_state.slide_idx = 0
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# Define a list of 10 slides (each with left and right pages), built from 40 paper entries.
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slides = [
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{
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"left": """
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| 12 |
+
### 07 Sep 2023 | [Structured Chain-of-Thought Prompting for Code Generation](https://arxiv.org/abs/2305.06599) | [⬇️](https://arxiv.org/pdf/2305.06599)
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| 13 |
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*Jia Li, Ge Li, Yongmin Li, Zhi Jin*
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| 14 |
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| 15 |
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### 15 Nov 2023 | [Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking](https://arxiv.org/abs/2310.12342) | [⬇️](https://arxiv.org/pdf/2310.12342)
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| 16 |
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*Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang*
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| 17 |
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""",
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| 18 |
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"right": """
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| 19 |
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### 04 Jun 2023 | [Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning](https://arxiv.org/abs/2306.02408) | [⬇️](https://arxiv.org/pdf/2306.02408)
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| 20 |
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*Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen*
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| 21 |
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| 22 |
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### 23 Oct 2023 | [Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks](https://arxiv.org/abs/2211.12588) | [⬇️](https://arxiv.org/pdf/2211.12588)
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| 23 |
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*Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen*
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| 24 |
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"""
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| 25 |
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},
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| 26 |
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{
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| 27 |
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"left": """
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| 28 |
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### 04 Jan 2024 | [Text2MDT: Extracting Medical Decision Trees from Medical Texts](https://arxiv.org/abs/2401.02034) | [⬇️](https://arxiv.org/pdf/2401.02034)
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| 29 |
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*Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie*
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| 30 |
+
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| 31 |
+
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
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| 32 |
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*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
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| 33 |
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""",
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| 34 |
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"right": """
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| 35 |
+
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
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| 36 |
+
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
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| 37 |
+
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| 38 |
+
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
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| 39 |
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*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
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| 40 |
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"""
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| 41 |
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},
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| 42 |
+
{
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| 43 |
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"left": """
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| 44 |
+
### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
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| 45 |
+
*Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
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| 46 |
+
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| 47 |
+
### 10 Nov 2023 | [State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding](https://arxiv.org/abs/2309.12482) | [⬇️](https://arxiv.org/pdf/2309.12482)
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| 48 |
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*Devleena Das, Sonia Chernova, Been Kim*
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| 49 |
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""",
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| 50 |
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"right": """
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| 51 |
+
### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
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| 52 |
+
*Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
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| 53 |
+
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| 54 |
+
### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
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| 55 |
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*Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
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| 56 |
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"""
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| 57 |
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},
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| 58 |
+
{
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"left": """
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| 60 |
+
### 16 May 2023 | [RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario](https://arxiv.org/abs/2305.09655) | [⬇️](https://arxiv.org/pdf/2305.09655)
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| 61 |
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*Sanyam Jain*
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| 62 |
+
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| 63 |
+
### 31 Mar 2023 | [Pair Programming with Large Language Models for Sampling and Estimation of Copulas](https://arxiv.org/abs/2303.18116) | [⬇️](https://arxiv.org/pdf/2303.18116)
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| 64 |
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*Jan Górecki*
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| 65 |
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""",
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| 66 |
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"right": """
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| 67 |
+
### 28 Jun 2023 | [AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn](https://arxiv.org/abs/2306.08640) | [⬇️](https://arxiv.org/pdf/2306.08640)
|
| 68 |
+
*Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
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| 69 |
+
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| 70 |
+
### 07 Nov 2023 | [Selective Visual Representations Improve Convergence and Generalization for Embodied AI](https://arxiv.org/abs/2311.04193) | [⬇️](https://arxiv.org/pdf/2311.04193)
|
| 71 |
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*Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
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| 72 |
+
"""
|
| 73 |
+
},
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| 74 |
+
{
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| 75 |
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"left": """
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| 76 |
+
### 16 Feb 2023 | [Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media](https://arxiv.org/abs/2302.08575) | [⬇️](https://arxiv.org/pdf/2302.08575)
|
| 77 |
+
*Gerhard Paaß and Sven Giesselbach*
|
| 78 |
+
|
| 79 |
+
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
|
| 80 |
+
*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
|
| 81 |
+
""",
|
| 82 |
+
"right": """
|
| 83 |
+
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
|
| 84 |
+
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
|
| 85 |
+
|
| 86 |
+
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
|
| 87 |
+
*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
|
| 88 |
+
"""
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"left": """
|
| 92 |
+
### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
|
| 93 |
+
*Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
|
| 94 |
+
|
| 95 |
+
### 10 Nov 2023 | [State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding](https://arxiv.org/abs/2309.12482) | [⬇️](https://arxiv.org/pdf/2309.12482)
|
| 96 |
+
*Devleena Das, Sonia Chernova, Been Kim*
|
| 97 |
+
""",
|
| 98 |
+
"right": """
|
| 99 |
+
### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
|
| 100 |
+
*Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
|
| 101 |
+
|
| 102 |
+
### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
|
| 103 |
+
*Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
|
| 104 |
+
"""
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"left": """
|
| 108 |
+
### 16 May 2023 | [RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario](https://arxiv.org/abs/2305.09655) | [⬇️](https://arxiv.org/pdf/2305.09655)
|
| 109 |
+
*Sanyam Jain*
|
| 110 |
+
|
| 111 |
+
### 31 Mar 2023 | [Pair Programming with Large Language Models for Sampling and Estimation of Copulas](https://arxiv.org/abs/2303.18116) | [⬇️](https://arxiv.org/pdf/2303.18116)
|
| 112 |
+
*Jan Górecki*
|
| 113 |
+
""",
|
| 114 |
+
"right": """
|
| 115 |
+
### 28 Jun 2023 | [AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn](https://arxiv.org/abs/2306.08640) | [⬇️](https://arxiv.org/pdf/2306.08640)
|
| 116 |
+
*Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
|
| 117 |
+
|
| 118 |
+
### 07 Nov 2023 | [Selective Visual Representations Improve Convergence and Generalization for Embodied AI](https://arxiv.org/abs/2311.04193) | [⬇️](https://arxiv.org/pdf/2311.04193)
|
| 119 |
+
*Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
|
| 120 |
+
"""
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"left": """
|
| 124 |
+
### 16 Feb 2023 | [Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media](https://arxiv.org/abs/2302.08575) | [⬇️](https://arxiv.org/pdf/2302.08575)
|
| 125 |
+
*Gerhard Paaß and Sven Giesselbach*
|
| 126 |
+
|
| 127 |
+
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
|
| 128 |
+
*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
|
| 129 |
+
""",
|
| 130 |
+
"right": """
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| 131 |
+
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
|
| 132 |
+
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
|
| 133 |
+
|
| 134 |
+
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
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| 135 |
+
*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
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| 136 |
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"""
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| 137 |
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}
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]
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num_slides = len(slides)
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current_slide = slides[st.session_state.slide_idx]
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# Display slide header (e.g., "Slide 1 of 10")
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st.markdown(f"## Slide {st.session_state.slide_idx + 1} of {num_slides}")
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# Display left and right pages side by side
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col_left, col_right = st.columns(2)
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with col_left:
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st.markdown("### Left Page")
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st.markdown(current_slide["left"], unsafe_allow_html=True)
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with col_right:
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st.markdown("### Right Page")
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st.markdown(current_slide["right"], unsafe_allow_html=True)
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# Countdown timer (15 seconds) for auto-advancement
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for remaining in range(15, 0, -1):
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st.markdown(f"**Advancing in {remaining} seconds...**")
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time.sleep(1)
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# Advance to the next slide (wrap around at the end)
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st.session_state.slide_idx = (st.session_state.slide_idx + 1) % num_slides
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# Rerun the app to display the next slide
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st.rerun()
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