awacke1 commited on
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Rename app.py to backup2.app.py

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Files changed (2) hide show
  1. app.py +0 -164
  2. backup2.app.py +640 -0
app.py DELETED
@@ -1,164 +0,0 @@
1
- import streamlit as st
2
- import time
3
-
4
- # Initialize slide index in session state if not already set
5
- if "slide_idx" not in st.session_state:
6
- st.session_state.slide_idx = 0
7
-
8
- # Define a list of 10 slides (each with left and right pages), built from 40 paper entries.
9
- slides = [
10
- {
11
- "left": """
12
- ### 07 Sep 2023 | [Structured Chain-of-Thought Prompting for Code Generation](https://arxiv.org/abs/2305.06599) | [⬇️](https://arxiv.org/pdf/2305.06599)
13
- *Jia Li, Ge Li, Yongmin Li, Zhi Jin*
14
-
15
- ### 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)
16
- *Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang*
17
- """,
18
- "right": """
19
- ### 04 Jun 2023 | [Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning](https://arxiv.org/abs/2306.02408) | [⬇️](https://arxiv.org/pdf/2306.02408)
20
- *Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen*
21
-
22
- ### 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)
23
- *Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen*
24
- """
25
- },
26
- {
27
- "left": """
28
- ### 04 Jan 2024 | [Text2MDT: Extracting Medical Decision Trees from Medical Texts](https://arxiv.org/abs/2401.02034) | [⬇️](https://arxiv.org/pdf/2401.02034)
29
- *Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie*
30
-
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)
32
- *Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
33
- """,
34
- "right": """
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)
36
- *Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
37
-
38
- ### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
39
- *Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
40
- """
41
- },
42
- {
43
- "left": """
44
- ### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
45
- *Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
46
-
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)
48
- *Devleena Das, Sonia Chernova, Been Kim*
49
- """,
50
- "right": """
51
- ### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
52
- *Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
53
-
54
- ### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
55
- *Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
56
- """
57
- },
58
- {
59
- "left": """
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)
61
- *Sanyam Jain*
62
-
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)
64
- *Jan Górecki*
65
- """,
66
- "right": """
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*
69
-
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
- *Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
72
- """
73
- },
74
- {
75
- "left": """
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": """
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)
135
- *Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
136
- """
137
- }
138
- ]
139
-
140
- num_slides = len(slides)
141
- current_slide = slides[st.session_state.slide_idx]
142
-
143
- # Display slide header (e.g., "Slide 1 of 10")
144
- st.markdown(f"## Slide {st.session_state.slide_idx + 1} of {num_slides}")
145
-
146
- # Display left and right pages side by side
147
- col_left, col_right = st.columns(2)
148
- with col_left:
149
- st.markdown("### Left Page")
150
- st.markdown(current_slide["left"], unsafe_allow_html=True)
151
- with col_right:
152
- st.markdown("### Right Page")
153
- st.markdown(current_slide["right"], unsafe_allow_html=True)
154
-
155
- # Countdown timer (15 seconds) for auto-advancement
156
- for remaining in range(15, 0, -1):
157
- st.markdown(f"**Advancing in {remaining} seconds...**")
158
- time.sleep(1)
159
-
160
- # Advance to the next slide (wrap around at the end)
161
- st.session_state.slide_idx = (st.session_state.slide_idx + 1) % num_slides
162
-
163
- # Rerun the app to display the next slide
164
- st.rerun()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
backup2.app.py ADDED
@@ -0,0 +1,640 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+
3
+ import os
4
+ import re
5
+ import glob
6
+ import json
7
+ import base64
8
+ import zipfile
9
+ import random
10
+ import requests
11
+ import streamlit as st
12
+ import streamlit.components.v1 as components
13
+ import time
14
+
15
+ # If you do model inference via huggingface_hub:
16
+ # from huggingface_hub import InferenceClient
17
+
18
+ ########################################################################################
19
+ # 1) GLOBAL CONFIG & PLACEHOLDERS
20
+ ########################################################################################
21
+ BASE_URL = "https://huggingface.co/spaces/awacke1/MermaidMarkdownDiagramEditor"
22
+ BASE_URL = ""
23
+
24
+ PromptPrefix = "AI-Search: "
25
+ PromptPrefix2 = "AI-Refine: "
26
+ PromptPrefix3 = "AI-JS: "
27
+
28
+ roleplaying_glossary = {
29
+ "Core Rulebooks": {
30
+ "Dungeons and Dragons": ["Player's Handbook", "Dungeon Master's Guide", "Monster Manual"],
31
+ "GURPS": ["Basic Set Characters", "Basic Set Campaigns"]
32
+ },
33
+ "Campaigns & Adventures": {
34
+ "Pathfinder": ["Rise of the Runelords", "Curse of the Crimson Throne"]
35
+ }
36
+ }
37
+
38
+ transhuman_glossary = {
39
+ "Neural Interfaces": ["Cortex Jack", "Mind-Machine Fusion"],
40
+ "Cybernetics": ["Robotic Limbs", "Augmented Eyes"],
41
+ }
42
+
43
+ def process_text(text):
44
+ """🕵️ process_text: detective style—prints lines to Streamlit for debugging."""
45
+ st.write(f"process_text called with: {text}")
46
+
47
+ def search_arxiv(text):
48
+ """🔭 search_arxiv: pretend to search ArXiv, just prints debug."""
49
+ st.write(f"search_arxiv called with: {text}")
50
+
51
+ def SpeechSynthesis(text):
52
+ """🗣 Simple logging for text-to-speech placeholders."""
53
+ st.write(f"SpeechSynthesis called with: {text}")
54
+
55
+ def process_image(image_file, prompt):
56
+ """📷 Simple placeholder for image AI pipeline."""
57
+ return f"[process_image placeholder] {image_file} => {prompt}"
58
+
59
+ def process_video(video_file, seconds_per_frame):
60
+ """🎞 Simple placeholder for video AI pipeline."""
61
+ st.write(f"[process_video placeholder] {video_file}, {seconds_per_frame} sec/frame")
62
+
63
+ API_URL = "https://huggingface-inference-endpoint-placeholder"
64
+ API_KEY = "hf_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
65
+
66
+ @st.cache_resource
67
+ def InferenceLLM(prompt):
68
+ """🔮 Stub returning mock response for 'prompt'."""
69
+ return f"[InferenceLLM placeholder response to prompt: {prompt}]"
70
+
71
+ ########################################################################################
72
+ # 2) GLOSSARY & FILE UTILITY
73
+ ########################################################################################
74
+ @st.cache_resource
75
+ def display_glossary_entity(k):
76
+ """
77
+ Creates multiple link emojis for a single entity.
78
+ Each link might point to /?q=..., /?q=<prefix>..., or external sites.
79
+ """
80
+ search_urls = {
81
+ "🚀🌌ArXiv": lambda x: f"/?q={quote(x)}",
82
+ "🃏Analyst": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix)}",
83
+ "📚PyCoder": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix2)}",
84
+ "🔬JSCoder": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix3)}",
85
+ "📖": lambda x: f"https://en.wikipedia.org/wiki/{quote(x)}",
86
+ "🔍": lambda x: f"https://www.google.com/search?q={quote(x)}",
87
+ "🔎": lambda x: f"https://www.bing.com/search?q={quote(x)}",
88
+ "🎥": lambda x: f"https://www.youtube.com/results?search_query={quote(x)}",
89
+ "🐦": lambda x: f"https://twitter.com/search?q={quote(x)}",
90
+ }
91
+ links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
92
+ st.markdown(f"**{k}** <small>{links_md}</small>", unsafe_allow_html=True)
93
+
94
+ def display_content_or_image(query):
95
+ """
96
+ If 'query' is in transhuman_glossary or there's an image matching 'images/<query>.png',
97
+ show it. Otherwise warn.
98
+ """
99
+ for category, term_list in transhuman_glossary.items():
100
+ for term in term_list:
101
+ if query.lower() in term.lower():
102
+ st.subheader(f"Found in {category}:")
103
+ st.write(term)
104
+ return True
105
+ image_path = f"images/{query}.png"
106
+ if os.path.exists(image_path):
107
+ st.image(image_path, caption=f"Image for {query}")
108
+ return True
109
+ st.warning("No matching content or image found.")
110
+ return False
111
+
112
+ def clear_query_params():
113
+ """Warn about clearing. Full clearing requires a redirect or st.experimental_set_query_params()."""
114
+ st.warning("Define a redirect or link without query params if you want to truly clear them.")
115
+
116
+ ########################################################################################
117
+ # 3) FILE-HANDLING (MD files, etc.)
118
+ ########################################################################################
119
+ def load_file(file_path):
120
+ """Load file contents as UTF-8 text, or return empty on error."""
121
+ try:
122
+ with open(file_path, "r", encoding='utf-8') as f:
123
+ return f.read()
124
+ except:
125
+ return ""
126
+
127
+ @st.cache_resource
128
+ def create_zip_of_files(files):
129
+ """Combine multiple local .md files into a single .zip for user to download."""
130
+ zip_name = "Arxiv-Paper-Search-QA-RAG-Streamlit-Gradio-AP.zip"
131
+ with zipfile.ZipFile(zip_name, 'w') as zipf:
132
+ for file in files:
133
+ zipf.write(file)
134
+ return zip_name
135
+
136
+ @st.cache_resource
137
+ def get_zip_download_link(zip_file):
138
+ """Return an <a> link to download the given zip_file (base64-encoded)."""
139
+ with open(zip_file, 'rb') as f:
140
+ data = f.read()
141
+ b64 = base64.b64encode(data).decode()
142
+ return f'<a href="data:application/zip;base64,{b64}" download="{zip_file}">Download All</a>'
143
+
144
+ def get_table_download_link(file_path):
145
+ """
146
+ Creates a download link for a single file from your snippet.
147
+ Encodes it as base64 data.
148
+ """
149
+ try:
150
+ with open(file_path, 'r', encoding='utf-8') as file:
151
+ data = file.read()
152
+ b64 = base64.b64encode(data.encode()).decode()
153
+ file_name = os.path.basename(file_path)
154
+ ext = os.path.splitext(file_name)[1]
155
+ mime_map = {
156
+ '.txt': 'text/plain',
157
+ '.py': 'text/plain',
158
+ '.xlsx': 'text/plain',
159
+ '.csv': 'text/plain',
160
+ '.htm': 'text/html',
161
+ '.md': 'text/markdown',
162
+ '.wav': 'audio/wav'
163
+ }
164
+ mime_type = mime_map.get(ext, 'application/octet-stream')
165
+ return f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
166
+ except:
167
+ return ''
168
+
169
+ def get_file_size(file_path):
170
+ """Get file size in bytes."""
171
+ return os.path.getsize(file_path)
172
+
173
+ def FileSidebar():
174
+ """
175
+ Renders .md files, providing open/view/delete/run logic in the sidebar.
176
+ """
177
+ all_files = glob.glob("*.md")
178
+ # Exclude short-named or special files if needed:
179
+ all_files = [f for f in all_files if len(os.path.splitext(f)[0]) >= 5]
180
+ all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)
181
+
182
+ Files1, Files2 = st.sidebar.columns(2)
183
+ with Files1:
184
+ if st.button("🗑 Delete All"):
185
+ for file in all_files:
186
+ os.remove(file)
187
+ st.rerun()
188
+ with Files2:
189
+ if st.button("⬇️ Download"):
190
+ zip_file = create_zip_of_files(all_files)
191
+ st.sidebar.markdown(get_zip_download_link(zip_file), unsafe_allow_html=True)
192
+
193
+ file_contents = ''
194
+ file_name = ''
195
+ next_action = ''
196
+
197
+ for file in all_files:
198
+ col1, col2, col3, col4, col5 = st.sidebar.columns([1,6,1,1,1])
199
+ with col1:
200
+ if st.button("🌐", key="md_"+file):
201
+ file_contents = load_file(file)
202
+ file_name = file
203
+ next_action = 'md'
204
+ st.session_state['next_action'] = next_action
205
+ with col2:
206
+ st.markdown(get_table_download_link(file), unsafe_allow_html=True)
207
+ with col3:
208
+ if st.button("📂", key="open_"+file):
209
+ file_contents = load_file(file)
210
+ file_name = file
211
+ next_action = 'open'
212
+ st.session_state['lastfilename'] = file
213
+ st.session_state['filename'] = file
214
+ st.session_state['filetext'] = file_contents
215
+ st.session_state['next_action'] = next_action
216
+ with col4:
217
+ if st.button("▶️", key="read_"+file):
218
+ file_contents = load_file(file)
219
+ file_name = file
220
+ next_action = 'search'
221
+ st.session_state['next_action'] = next_action
222
+ with col5:
223
+ if st.button("🗑", key="delete_"+file):
224
+ os.remove(file)
225
+ st.rerun()
226
+
227
+ if file_contents:
228
+ if next_action == 'open':
229
+ open1, open2 = st.columns([0.8, 0.2])
230
+ with open1:
231
+ file_name_input = st.text_input('File Name:', file_name, key='file_name_input')
232
+ file_content_area = st.text_area('File Contents:', file_contents, height=300, key='file_content_area')
233
+ if st.button('💾 Save File'):
234
+ with open(file_name_input, 'w', encoding='utf-8') as f:
235
+ f.write(file_content_area)
236
+ st.markdown(f'Saved {file_name_input} successfully.')
237
+ elif next_action == 'search':
238
+ file_content_area = st.text_area("File Contents:", file_contents, height=500)
239
+ user_prompt = PromptPrefix2 + file_contents
240
+ st.markdown(user_prompt)
241
+ if st.button('🔍Re-Code'):
242
+ search_arxiv(file_contents)
243
+ elif next_action == 'md':
244
+ st.markdown(file_contents)
245
+ SpeechSynthesis(file_contents)
246
+ if st.button("🔍Run"):
247
+ st.write("Running GPT logic placeholder...")
248
+
249
+ ########################################################################################
250
+ # 4) SCORING / GLOSSARIES
251
+ ########################################################################################
252
+ score_dir = "scores"
253
+ os.makedirs(score_dir, exist_ok=True)
254
+
255
+ def generate_key(label, header, idx):
256
+ return f"{header}_{label}_{idx}_key"
257
+
258
+ def update_score(key, increment=1):
259
+ """
260
+ Track a 'score' for each glossary item or term, saved in JSON per key.
261
+ """
262
+ score_file = os.path.join(score_dir, f"{key}.json")
263
+ if os.path.exists(score_file):
264
+ with open(score_file, "r") as file:
265
+ score_data = json.load(file)
266
+ else:
267
+ score_data = {"clicks": 0, "score": 0}
268
+ score_data["clicks"] += increment
269
+ score_data["score"] += increment
270
+ with open(score_file, "w") as file:
271
+ json.dump(score_data, file)
272
+ return score_data["score"]
273
+
274
+ def load_score(key):
275
+ file_path = os.path.join(score_dir, f"{key}.json")
276
+ if os.path.exists(file_path):
277
+ with open(file_path, "r") as file:
278
+ score_data = json.load(file)
279
+ return score_data["score"]
280
+ return 0
281
+
282
+ def display_buttons_with_scores(num_columns_text):
283
+ """
284
+ Show glossary items as clickable buttons that increment a 'score'.
285
+ """
286
+ game_emojis = {
287
+ "Dungeons and Dragons": "🐉",
288
+ "Call of Cthulhu": "🐙",
289
+ "GURPS": "🎲",
290
+ "Pathfinder": "🗺️",
291
+ "Kindred of the East": "🌅",
292
+ "Changeling": "🍃",
293
+ }
294
+ topic_emojis = {
295
+ "Core Rulebooks": "📚",
296
+ "Maps & Settings": "🗺️",
297
+ "Game Mechanics & Tools": "⚙️",
298
+ "Monsters & Adversaries": "👹",
299
+ "Campaigns & Adventures": "📜",
300
+ "Creatives & Assets": "🎨",
301
+ "Game Master Resources": "🛠️",
302
+ "Lore & Background": "📖",
303
+ "Character Development": "🧍",
304
+ "Homebrew Content": "🔧",
305
+ "General Topics": "🌍",
306
+ }
307
+
308
+ for category, games in roleplaying_glossary.items():
309
+ category_emoji = topic_emojis.get(category, "🔍")
310
+ st.markdown(f"## {category_emoji} {category}")
311
+ for game, terms in games.items():
312
+ game_emoji = game_emojis.get(game, "🎮")
313
+ for term in terms:
314
+ key = f"{category}_{game}_{term}".replace(' ', '_').lower()
315
+ score_val = load_score(key)
316
+ if st.button(f"{game_emoji} {category} {game} {term} {score_val}", key=key):
317
+ newscore = update_score(key.replace('?', ''))
318
+ st.markdown(f"Scored **{category} - {game} - {term}** -> {newscore}")
319
+
320
+ ########################################################################################
321
+ # 5) IMAGES & VIDEOS
322
+ ########################################################################################
323
+
324
+ def display_images_and_wikipedia_summaries(num_columns=4):
325
+ """Display .png images in a grid, referencing the name as a 'keyword'."""
326
+ image_files = [f for f in os.listdir('.') if f.endswith('.png')]
327
+ if not image_files:
328
+ st.write("No PNG images found in the current directory.")
329
+ return
330
+
331
+ image_files_sorted = sorted(image_files, key=lambda x: len(x.split('.')[0]))
332
+ cols = st.columns(num_columns)
333
+ col_index = 0
334
+ for image_file in image_files_sorted:
335
+ with cols[col_index % num_columns]:
336
+ try:
337
+ image = Image.open(image_file)
338
+ st.image(image, use_column_width=True)
339
+ k = image_file.split('.')[0]
340
+ display_glossary_entity(k)
341
+ image_text_input = st.text_input(f"Prompt for {image_file}", key=f"image_prompt_{image_file}")
342
+ if image_text_input:
343
+ response = process_image(image_file, image_text_input)
344
+ st.markdown(response)
345
+ except:
346
+ st.write(f"Could not open {image_file}")
347
+ col_index += 1
348
+
349
+ def display_videos_and_links(num_columns=4):
350
+ """Displays all .mp4/.webm in a grid, plus text input for prompts."""
351
+ video_files = [f for f in os.listdir('.') if f.endswith(('.mp4', '.webm'))]
352
+ if not video_files:
353
+ st.write("No MP4 or WEBM videos found in the current directory.")
354
+ return
355
+
356
+ video_files_sorted = sorted(video_files, key=lambda x: len(x.split('.')[0]))
357
+ cols = st.columns(num_columns)
358
+ col_index = 0
359
+ for video_file in video_files_sorted:
360
+ with cols[col_index % num_columns]:
361
+ k = video_file.split('.')[0]
362
+ st.video(video_file, format='video/mp4', start_time=0)
363
+ display_glossary_entity(k)
364
+ video_text_input = st.text_input(f"Video Prompt for {video_file}", key=f"video_prompt_{video_file}")
365
+ if video_text_input:
366
+ try:
367
+ seconds_per_frame = 10
368
+ process_video(video_file, seconds_per_frame)
369
+ except ValueError:
370
+ st.error("Invalid input for seconds per frame!")
371
+ col_index += 1
372
+
373
+ ########################################################################################
374
+ # 6) MERMAID
375
+ ########################################################################################
376
+
377
+ def generate_mermaid_html(mermaid_code: str) -> str:
378
+ """
379
+ Returns HTML that centers the Mermaid diagram, loading from a CDN.
380
+ """
381
+ return f"""
382
+ <html>
383
+ <head>
384
+ <script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script>
385
+ <style>
386
+ .centered-mermaid {{
387
+ display: flex;
388
+ justify-content: center;
389
+ margin: 20px auto;
390
+ }}
391
+ .mermaid {{
392
+ max-width: 800px;
393
+ }}
394
+ </style>
395
+ </head>
396
+ <body>
397
+ <div class="mermaid centered-mermaid">
398
+ {mermaid_code}
399
+ </div>
400
+ <script>
401
+ mermaid.initialize({{ startOnLoad: true }});
402
+ </script>
403
+ </body>
404
+ </html>
405
+ """
406
+
407
+ def append_model_param(url: str, model_selected: bool) -> str:
408
+ """
409
+ If user checks 'Append ?model=1', we append &model=1 or ?model=1 if not present.
410
+ """
411
+ if not model_selected:
412
+ return url
413
+ delimiter = "&" if "?" in url else "?"
414
+ return f"{url}{delimiter}model=1"
415
+
416
+ def inject_base_url(url: str) -> str:
417
+ """
418
+ If a link does not start with http, prepend your BASE_URL
419
+ so it becomes an absolute link to huggingface.co/spaces/...
420
+ """
421
+ if url.startswith("http"):
422
+ return url
423
+ return f"{BASE_URL}{url}"
424
+
425
+ # We use 2-parameter click lines for Mermaid 11.4.1 compatibility:
426
+ DEFAULT_MERMAID = r"""
427
+ flowchart LR
428
+ U((User 😎)) -- "Talk 🗣️" --> LLM[LLM Agent 🤖\nExtract Info]
429
+ click U "?q=U" _self
430
+ click LLM "?q=LLM%20Agent%20Extract%20Info" _blank
431
+
432
+ LLM -- "Query 🔍" --> HS[Hybrid Search 🔎\nVector+NER+Lexical]
433
+ click HS "?q=Hybrid%20Search%20Vector%20NER%20Lexical" _blank
434
+
435
+ HS -- "Reason 🤔" --> RE[Reasoning Engine 🛠️\nNeuralNetwork+Medical]
436
+ click RE "?q=R" _blank
437
+
438
+ RE -- "Link 📡" --> KG((Knowledge Graph 📚\nOntology+GAR+RAG))
439
+ click KG "?q=K" _blank
440
+ """
441
+
442
+ # New function to generate Mermaid diagram for each paper
443
+ def generate_mermaid_code(paper):
444
+ title = paper.split('|')[1].strip()
445
+ concepts = paper.split('\n')
446
+ mermaid_code = f"flowchart TD\n A[{title}]"
447
+ for concept in concepts[1:]: # Skip the title
448
+ if concept.strip():
449
+ mermaid_code += f" --> {concept.strip().replace('*', '').replace(',', '').replace(' ', '')}"
450
+ return mermaid_code
451
+
452
+ ########################################################################################
453
+ # 7) MAIN UI
454
+ ########################################################################################
455
+
456
+ def main():
457
+ st.set_page_config(page_title="Mermaid + Two-Parameter Click + LetterMap", layout="wide")
458
+
459
+ # Define a list of 10 slides (each with left and right pages), built from 40 paper entries.
460
+ slides = [
461
+ {
462
+ "left": """
463
+ ### 07 Sep 2023 | [Structured Chain-of-Thought Prompting for Code Generation](https://arxiv.org/abs/2305.06599) | [⬇️](https://arxiv.org/pdf/2305.06599)
464
+ *Jia Li, Ge Li, Yongmin Li, Zhi Jin*
465
+
466
+ ### 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)
467
+ *Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang*
468
+ """,
469
+ "right": """
470
+ ### 04 Jun 2023 | [Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning](https://arxiv.org/abs/2306.02408) | [⬇️](https://arxiv.org/pdf/2306.02408)
471
+ *Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen*
472
+
473
+ ### 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)
474
+ *Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen*
475
+ """
476
+ },
477
+ {
478
+ "left": """
479
+ ### 04 Jan 2024 | [Text2MDT: Extracting Medical Decision Trees from Medical Texts](https://arxiv.org/abs/2401.02034) | [⬇️](https://arxiv.org/pdf/2401.02034)
480
+ *Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie*
481
+
482
+ ### 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)
483
+ *Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
484
+ """,
485
+ "right": """
486
+ ### 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)
487
+ *Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
488
+
489
+ ### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
490
+ *Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
491
+ """
492
+ },
493
+ {
494
+ "left": """
495
+ ### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
496
+ *Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
497
+
498
+ ### 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)
499
+ *Devleena Das, Sonia Chernova, Been Kim*
500
+ """,
501
+ "right": """
502
+ ### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
503
+ *Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
504
+
505
+ ### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
506
+ *Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
507
+ """
508
+ },
509
+ {
510
+ "left": """
511
+ ### 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)
512
+ *Sanyam Jain*
513
+
514
+ ### 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)
515
+ *Jan Górecki*
516
+ """,
517
+ "right": """
518
+ ### 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)
519
+ *Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
520
+
521
+ ### 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)
522
+ *Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
523
+ """
524
+ },
525
+ {
526
+ "left": """
527
+ ### 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)
528
+ *Gerhard Paaß and Sven Giesselbach*
529
+
530
+ ### 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)
531
+ *Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
532
+ """,
533
+ "right": """
534
+ ### 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)
535
+ *Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
536
+
537
+ ### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
538
+ *Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
539
+ """
540
+ },
541
+ {
542
+ "left": """
543
+ ### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
544
+ *Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
545
+
546
+ ### 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)
547
+ *Devleena Das, Sonia Chernova, Been Kim*
548
+ """,
549
+ "right": """
550
+ ### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
551
+ *Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
552
+
553
+ ### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
554
+ *Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
555
+ """
556
+ },
557
+ {
558
+ "left": """
559
+ ### 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)
560
+ *Sanyam Jain*
561
+
562
+ ### 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)
563
+ *Jan Górecki*
564
+ """,
565
+ "right": """
566
+ ### 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)
567
+ *Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
568
+
569
+ ### 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)
570
+ *Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
571
+ """
572
+ },
573
+ {
574
+ "left": """
575
+ ### 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)
576
+ *Gerhard Paaß and Sven Giesselbach*
577
+
578
+ ### 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)
579
+ *Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
580
+ """,
581
+ "right": """
582
+ ### 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)
583
+ *Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
584
+
585
+ ### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
586
+ *Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
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+ """
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+ }
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+ ]
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+
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+
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+
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+
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+
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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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+
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+ num_slides = len(slides)
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+ current_slide = slides[st.session_state.slide_idx]
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+
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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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+
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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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+ for paper in current_slide["left"].split('\n\n'):
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+ if paper.strip():
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+ st.markdown(paper, unsafe_allow_html=True)
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+ mermaid_diagram = generate_mermaid_code(paper)
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+ st.markdown(f"```mermaid\n{mermaid_diagram}\n```", unsafe_allow_html=True)
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+ with col_right:
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+ st.markdown("### Right Page")
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+ for paper in current_slide["right"].split('\n\n'):
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+ if paper.strip():
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+ st.markdown(paper, unsafe_allow_html=True)
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+ mermaid_diagram = generate_mermaid_code(paper)
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+ st.markdown(f"```mermaid\n{mermaid_diagram}\n```", unsafe_allow_html=True)
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+
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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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+
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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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+
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+ # Rerun the app to display the next slide
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+ st.rerun()
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+
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+ if __name__ == "__main__":
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+ main()
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+
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+
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+
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+
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+
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+