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Update app.py
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app.py
CHANGED
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@@ -15,12 +15,12 @@ from urllib.parse import quote
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import streamlit as st
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import streamlit.components.v1 as components
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#
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#
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#
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BASE_URL = "https://huggingface.co/spaces/awacke1/MermaidMarkdownDiagramEditor"
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PromptPrefix = "AI-Search: "
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@@ -42,45 +42,42 @@ transhuman_glossary = {
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"Cybernetics": ["Robotic Limbs", "Augmented Eyes"],
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}
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def process_text(text):
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"""🕵️ process_text: detective style—prints lines to Streamlit for debugging."""
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st.write(f"process_text called with: {text}")
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-
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def search_arxiv(text):
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"""🔭 search_arxiv: pretend to search ArXiv, just prints debug for now."""
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st.write(f"search_arxiv called with: {text}")
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-
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def SpeechSynthesis(text):
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"""🗣 SpeechSynthesis: read lines out loud?
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st.write(f"SpeechSynthesis called with: {text}")
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-
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def process_image(image_file, prompt):
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"""📷 process_image: imagine an AI pipeline for images, here we just log."""
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return f"[process_image placeholder] {image_file} => {prompt}"
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-
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def process_video(video_file, seconds_per_frame):
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"""🎞 process_video: placeholder for video tasks, logs to Streamlit."""
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st.write(f"[process_video placeholder] {video_file}, {seconds_per_frame} sec/frame")
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-
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API_URL = "https://huggingface-inference-endpoint-placeholder"
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API_KEY = "hf_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
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-
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@st.cache_resource
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def InferenceLLM(prompt):
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"""🔮 InferenceLLM: a stub returning a mock response for 'prompt'."""
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return f"[InferenceLLM placeholder response to prompt: {prompt}]"
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# =====================================================================================
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# 2) GLOSSARY & FILE UTILITY
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# =====================================================================================
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@st.cache_resource
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def display_glossary_entity(k):
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"""
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@@ -88,20 +85,19 @@ def display_glossary_entity(k):
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Each link might point to /?q=..., /?q=<prefix>..., or external sites.
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"""
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search_urls = {
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"🚀🌌ArXiv":
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"🃏Analyst":
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"📚PyCoder":
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"🔬JSCoder":
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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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links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
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st.markdown(f"**{k}** <small>{links_md}</small>", unsafe_allow_html=True)
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-
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def display_content_or_image(query):
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"""
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If 'query' is in transhuman_glossary or there's an image matching 'images/<query>.png',
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@@ -120,15 +116,14 @@ def display_content_or_image(query):
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st.warning("No matching content or image found.")
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return False
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-
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def clear_query_params():
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"""
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st.warning("Define a redirect or link without query params if you want to truly clear them.")
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# =====================================================================================
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# 3) FILE-HANDLING (MD files, etc.)
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# =====================================================================================
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def load_file(file_path):
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"""Load file contents as UTF-8 text, or return empty on error."""
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try:
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@@ -137,7 +132,6 @@ def load_file(file_path):
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except:
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return ""
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-
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@st.cache_resource
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def create_zip_of_files(files):
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"""Combine multiple local files into a single .zip for user to download."""
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@@ -147,7 +141,6 @@ def create_zip_of_files(files):
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zipf.write(file)
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return zip_name
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-
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@st.cache_resource
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def get_zip_download_link(zip_file):
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"""Return an <a> link to download the given zip_file (base64-encoded)."""
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@@ -156,7 +149,6 @@ def get_zip_download_link(zip_file):
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b64 = base64.b64encode(data).decode()
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return f'<a href="data:application/zip;base64,{b64}" download="{zip_file}">Download All</a>'
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def get_table_download_link(file_path):
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"""
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Creates a download link for a single file from your snippet.
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@@ -169,36 +161,31 @@ def get_table_download_link(file_path):
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file_name = os.path.basename(file_path)
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ext = os.path.splitext(file_name)[1]
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mime_map = {
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'.txt':
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'.py':
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'.xlsx': 'text/plain',
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'.csv':
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'.htm':
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'.md':
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'.wav':
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}
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mime_type = mime_map.get(ext, 'application/octet-stream')
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return f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
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except:
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return ''
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-
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def get_file_size(file_path):
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"""Get file size in bytes."""
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return os.path.getsize(file_path)
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-
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def FileSidebar():
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"""
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Renders .md files in the sidebar with open/view/run/delete logic.
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"""
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all_files = glob.glob("*.md")
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# If you want to filter out short-named or special files:
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all_files = [f for f in all_files if len(os.path.splitext(f)[0]) >= 5]
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# sorting in place
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all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)
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# Buttons for "Delete All" and "Download"
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Files1, Files2 = st.sidebar.columns(2)
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with Files1:
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if st.button("🗑 Delete All"):
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@@ -214,11 +201,10 @@ def FileSidebar():
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file_name = ''
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next_action = ''
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# Each file row
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for file in all_files:
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col1, col2, col3, col4, col5 = st.sidebar.columns([1,
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with col1:
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if st.button("🌐", key="md_"
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file_contents = load_file(file)
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file_name = file
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next_action = 'md'
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with col2:
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st.markdown(get_table_download_link(file), unsafe_allow_html=True)
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with col3:
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if st.button("📂", key="open_"
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file_contents = load_file(file)
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file_name = file
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next_action = 'open'
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st.session_state['filetext'] = file_contents
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st.session_state['next_action'] = next_action
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with col4:
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if st.button("▶️", key="read_"
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file_contents = load_file(file)
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file_name = file
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next_action = 'search'
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st.session_state['next_action'] = next_action
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with col5:
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if st.button("🗑", key="delete_"
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os.remove(file)
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st.rerun()
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@@ -251,7 +237,6 @@ def FileSidebar():
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with open1:
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file_name_input = st.text_input('File Name:', file_name, key='file_name_input')
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file_content_area = st.text_area('File Contents:', file_contents, height=300, key='file_content_area')
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if st.button('💾 Save File'):
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with open(file_name_input, 'w', encoding='utf-8') as f:
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f.write(file_content_area)
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if st.button("🔍Run"):
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st.write("Running GPT logic placeholder...")
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-
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#
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# =====================================================================================
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score_dir = "scores"
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os.makedirs(score_dir, exist_ok=True)
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-
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def generate_key(label, header, idx):
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return f"{header}_{label}_{idx}_key"
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-
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def update_score(key, increment=1):
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"""Increment the 'score' for a glossary item in JSON storage."""
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score_file = os.path.join(score_dir, f"{key}.json")
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json.dump(score_data, file)
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return score_data["score"]
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-
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def load_score(key):
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"""Load the stored score from .json if it exists, else 0."""
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file_path = os.path.join(score_dir, f"{key}.json")
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return score_data["score"]
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return 0
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def display_buttons_with_scores(num_columns_text):
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"""
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Show glossary items as clickable buttons, each increments a 'score'.
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"""
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game_emojis = {
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"Dungeons and Dragons": "🐉",
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"Call of Cthulhu":
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"GURPS":
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"Pathfinder":
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"Kindred of the East":
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"Changeling":
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}
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topic_emojis = {
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"Core Rulebooks":
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"Maps & Settings":
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"Game Mechanics & Tools":
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"Monsters & Adversaries":
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"Campaigns & Adventures":
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"Creatives & Assets":
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"Game Master Resources":
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"Lore & Background":
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"Character Development":
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"Homebrew Content":
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"General Topics":
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}
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for category, games in roleplaying_glossary.items():
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newscore = update_score(key.replace('?', ''))
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st.markdown(f"Scored **{category} - {game} - {term}** -> {newscore}")
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# =====================================================================================
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# 5) IMAGES & VIDEOS
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# =====================================================================================
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def display_images_and_wikipedia_summaries(num_columns=4):
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"""Display .png images in a grid, referencing the name as a 'keyword'."""
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image_files = [f for f in os.listdir('.') if f.endswith('.png')]
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image_files_sorted = sorted(image_files, key=lambda x: len(x.split('.')[0]))
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cols = st.columns(num_columns)
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col_index = 0
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-
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for image_file in image_files_sorted:
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with cols[col_index % num_columns]:
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try:
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st.write(f"Could not open {image_file}")
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col_index += 1
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def display_videos_and_links(num_columns=4):
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"""Displays all .mp4/.webm in a grid, plus text input for prompts."""
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video_files = [f for f in os.listdir('.') if f.endswith(('.mp4', '.webm'))]
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video_files_sorted = sorted(video_files, key=lambda x: len(x.split('.')[0]))
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cols = st.columns(num_columns)
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col_index = 0
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-
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for video_file in video_files_sorted:
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with cols[col_index % num_columns]:
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k = video_file.split('.')[0]
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st.error("Invalid input for seconds per frame!")
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col_index += 1
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# =====================================================================================
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# 6) MERMAID & PARTIAL SUBGRAPH LOGIC
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# =====================================================================================
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def generate_mermaid_html(mermaid_code: str) -> str:
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"""Embed mermaid_code in a minimal HTML snippet, centered."""
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return f"""
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</html>
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"""
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def append_model_param(url: str, model_selected: bool) -> str:
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"""If user
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if not model_selected:
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return url
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delimiter = "&" if "?" in url else "?"
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return f"{url}{delimiter}model=1"
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def inject_base_url(url: str) -> str:
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"""If link doesn't start with 'http', prepend BASE_URL so it's absolute."""
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if url.startswith("http"):
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return url
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return f"{BASE_URL}{url}"
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# We'll keep the default mermaid that references /?q=...
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DEFAULT_MERMAID = r"""
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flowchart LR
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U((User
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click U
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click LLM
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LLM --
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click HS
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HS --
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click RE
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RE --
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click KG
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"""
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def parse_mermaid_edges(mermaid_text: str):
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"""
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🍿 parse_mermaid_edges:
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- Find lines like: A -- "Label" --> B
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- Return adjacency dict: edges[A] = [(label, B), ...]
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"""
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adjacency = {}
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# e.g. U((User 😎)) -- "Talk 🗣️" --> LLM[LLM Agent 🤖\nExtract Info]
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edge_pattern = re.compile(r'(\S+)\s*--\s*"([^"]*)"\s*-->\s*(\S+)')
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for line in mermaid_text.split('\n'):
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match = edge_pattern.search(line.strip())
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if match:
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nodeA, label, nodeB = match.groups()
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if nodeA not in adjacency:
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adjacency[nodeA] = []
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adjacency[nodeA].append((label, nodeB))
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return adjacency
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def bfs_subgraph(adjacency, start_node, depth=1):
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"""
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🍎 bfs_subgraph:
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- Gather edges up to 'depth' levels from start_node
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- If depth=1, only direct edges from node
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"""
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from collections import deque
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visited = set()
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queue = deque([(start_node, 0)])
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edges = []
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while queue:
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current, lvl = queue.popleft()
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if current in visited:
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continue
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visited.add(current)
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if current in adjacency and lvl < depth:
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for (label, child) in adjacency[current]:
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edges.append((current, label, child))
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queue.append((child, lvl + 1))
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return edges
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def create_subgraph_mermaid(sub_edges, start_node):
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"""
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🍄 create_subgraph_mermaid:
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- build a smaller flowchart snippet with edges from BFS
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"""
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sub_mermaid = "flowchart LR\n"
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sub_mermaid += f" %% SearchResult Subgraph for {start_node}\n"
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if not sub_edges:
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# If no edges, show just the node
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sub_mermaid += f" {start_node}\n"
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sub_mermaid += " %% End of partial subgraph\n"
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return sub_mermaid
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for (A, label, B) in sub_edges:
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sub_mermaid += f' {A} -- "{label}" --> {B}\n'
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sub_mermaid += " %% End of partial subgraph\n"
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return sub_mermaid
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# =====================================================================================
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# 7) MAIN APP
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# =====================================================================================
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def main():
|
| 536 |
-
st.set_page_config(page_title="Mermaid
|
| 537 |
|
| 538 |
# 1) Query param parsing
|
| 539 |
query_params = st.query_params
|
| 540 |
-
|
| 541 |
-
|
| 542 |
-
|
| 543 |
-
# If 'action' param is present
|
| 544 |
-
if 'action' in query_params:
|
| 545 |
-
action_list = query_params['action']
|
| 546 |
-
if action_list:
|
| 547 |
-
action = action_list[0]
|
| 548 |
-
if action == 'show_message':
|
| 549 |
-
st.success("Showing a message because 'action=show_message' was found in the URL.")
|
| 550 |
-
elif action == 'clear':
|
| 551 |
-
clear_query_params()
|
| 552 |
-
|
| 553 |
-
# If there's a 'query=' param, display content or image
|
| 554 |
-
if 'query' in query_params:
|
| 555 |
-
query_val = query_params['query'][0]
|
| 556 |
-
display_content_or_image(query_val)
|
| 557 |
|
| 558 |
# 2) Let user pick ?model=1
|
| 559 |
st.sidebar.write("## Diagram Link Settings")
|
| 560 |
model_selected = st.sidebar.checkbox("Append ?model=1 to each link?")
|
| 561 |
|
| 562 |
-
# 3) We'll
|
| 563 |
-
# and possible model param. We'll store the final mermaid code in session.
|
| 564 |
lines = DEFAULT_MERMAID.strip().split("\n")
|
| 565 |
new_lines = []
|
| 566 |
for line in lines:
|
| 567 |
-
|
| 568 |
-
|
| 569 |
-
parts =
|
| 570 |
-
#
|
| 571 |
-
|
| 572 |
-
|
| 573 |
-
|
| 574 |
-
|
| 575 |
-
#
|
| 576 |
-
|
| 577 |
-
|
| 578 |
-
target = parts[3]
|
| 579 |
-
|
| 580 |
-
# 1) base
|
| 581 |
new_url = inject_base_url(old_url)
|
| 582 |
-
#
|
| 583 |
new_url = append_model_param(new_url, model_selected)
|
| 584 |
-
|
| 585 |
-
#
|
| 586 |
-
new_line = f"{
|
| 587 |
-
# If there's a remainder (parts[4]) it might be an empty string
|
| 588 |
-
if len(parts) > 4:
|
| 589 |
-
new_line += parts[4]
|
| 590 |
new_lines.append(new_line)
|
| 591 |
else:
|
| 592 |
new_lines.append(line)
|
|
@@ -594,64 +493,25 @@ def main():
|
|
| 594 |
new_lines.append(line)
|
| 595 |
|
| 596 |
final_mermaid = "\n".join(new_lines)
|
| 597 |
-
adjacency = parse_mermaid_edges(final_mermaid)
|
| 598 |
-
|
| 599 |
-
# 4) If user clicked a shape => we show a partial subgraph as "SearchResult"
|
| 600 |
-
partial_subgraph_html = ""
|
| 601 |
-
if q_or_query:
|
| 602 |
-
# Special-case if user clicked "User" => q=U => we know the node is "U((User 😎))"
|
| 603 |
-
if q_or_query == "U":
|
| 604 |
-
chosen_node = "U((User 😎))"
|
| 605 |
-
st.info(f"process_text called with: {PromptPrefix}{q_or_query} => forcing node U((User 😎))")
|
| 606 |
-
else:
|
| 607 |
-
st.info(f"process_text called with: {PromptPrefix}{q_or_query}")
|
| 608 |
-
# Attempt to find a node whose ID or label includes q_or_query:
|
| 609 |
-
possible_keys = []
|
| 610 |
-
for nodeKey in adjacency.keys():
|
| 611 |
-
# e.g. nodeKey might be 'U((User 😎))'
|
| 612 |
-
simplified_key = nodeKey.replace("\\n", " ").replace("[", "").replace("]", "").lower()
|
| 613 |
-
simplified_query = q_or_query.lower().replace("%20", " ")
|
| 614 |
-
if simplified_query in simplified_key:
|
| 615 |
-
possible_keys.append(nodeKey)
|
| 616 |
-
|
| 617 |
-
if possible_keys:
|
| 618 |
-
chosen_node = possible_keys[0]
|
| 619 |
-
else:
|
| 620 |
-
chosen_node = None
|
| 621 |
-
st.warning("No adjacency node matched the query param's text. Subgraph is empty.")
|
| 622 |
-
|
| 623 |
-
if chosen_node:
|
| 624 |
-
# BFS subgraph for chosen_node with depth=1
|
| 625 |
-
sub_edges = bfs_subgraph(adjacency, chosen_node, depth=1)
|
| 626 |
-
sub_mermaid = create_subgraph_mermaid(sub_edges, chosen_node)
|
| 627 |
-
partial_subgraph_html = generate_mermaid_html(sub_mermaid)
|
| 628 |
-
|
| 629 |
-
# 5) Show partial subgraph top-center if we have any
|
| 630 |
-
if partial_subgraph_html:
|
| 631 |
-
st.subheader("SearchResult Subgraph")
|
| 632 |
-
components.html(partial_subgraph_html, height=300, scrolling=False)
|
| 633 |
-
|
| 634 |
-
# 6) Render the top-centered *full* diagram
|
| 635 |
-
st.title("Full Mermaid Diagram (with Base URL + model=1 logic)")
|
| 636 |
|
|
|
|
|
|
|
| 637 |
diagram_html = generate_mermaid_html(final_mermaid)
|
| 638 |
components.html(diagram_html, height=400, scrolling=True)
|
| 639 |
|
| 640 |
-
#
|
| 641 |
left_col, right_col = st.columns(2)
|
| 642 |
|
| 643 |
with left_col:
|
| 644 |
st.subheader("Markdown Side 📝")
|
| 645 |
if "markdown_text" not in st.session_state:
|
| 646 |
st.session_state["markdown_text"] = "## Hello!\nYou can type some *Markdown* here.\n"
|
| 647 |
-
|
| 648 |
-
|
| 649 |
-
|
| 650 |
-
|
| 651 |
-
)
|
| 652 |
st.session_state["markdown_text"] = markdown_text
|
| 653 |
|
| 654 |
-
# Buttons
|
| 655 |
colA, colB = st.columns(2)
|
| 656 |
with colA:
|
| 657 |
if st.button("🔄 Refresh Markdown"):
|
|
@@ -667,15 +527,14 @@ def main():
|
|
| 667 |
|
| 668 |
with right_col:
|
| 669 |
st.subheader("Mermaid Side 🧜♂️")
|
|
|
|
| 670 |
if "current_mermaid" not in st.session_state:
|
| 671 |
st.session_state["current_mermaid"] = final_mermaid
|
| 672 |
|
| 673 |
-
|
| 674 |
-
|
| 675 |
-
|
| 676 |
-
|
| 677 |
-
height=300
|
| 678 |
-
)
|
| 679 |
colC, colD = st.columns(2)
|
| 680 |
with colC:
|
| 681 |
if st.button("🎨 Refresh Diagram"):
|
|
@@ -691,27 +550,20 @@ def main():
|
|
| 691 |
st.markdown("**Mermaid Source:**")
|
| 692 |
st.code(mermaid_input, language="python", line_numbers=True)
|
| 693 |
|
| 694 |
-
#
|
| 695 |
st.markdown("---")
|
| 696 |
st.header("Media Galleries")
|
|
|
|
| 697 |
num_columns_images = st.slider("Choose Number of Image Columns", 1, 15, 5, key="num_columns_images")
|
| 698 |
display_images_and_wikipedia_summaries(num_columns_images)
|
| 699 |
|
| 700 |
num_columns_video = st.slider("Choose Number of Video Columns", 1, 15, 5, key="num_columns_video")
|
| 701 |
display_videos_and_links(num_columns_video)
|
| 702 |
|
| 703 |
-
#
|
| 704 |
-
showExtendedTextInterface = False
|
| 705 |
-
if showExtendedTextInterface:
|
| 706 |
-
# e.g. display_glossary_grid(roleplaying_glossary)
|
| 707 |
-
# num_columns_text = st.slider("Choose Number of Text Columns", 1, 15, 4)
|
| 708 |
-
# display_buttons_with_scores(num_columns_text)
|
| 709 |
-
pass
|
| 710 |
-
|
| 711 |
-
# 10) Render the file sidebar
|
| 712 |
FileSidebar()
|
| 713 |
|
| 714 |
-
#
|
| 715 |
titles = [
|
| 716 |
"🧠🎭 Semantic Symphonies & Episodic Encores",
|
| 717 |
"🌌🎼 AI Rhythms of Memory Lane",
|
|
@@ -724,6 +576,7 @@ def main():
|
|
| 724 |
]
|
| 725 |
st.markdown(f"**{random.choice(titles)}**")
|
| 726 |
|
|
|
|
| 727 |
|
| 728 |
if __name__ == "__main__":
|
| 729 |
main()
|
|
|
|
| 15 |
import streamlit as st
|
| 16 |
import streamlit.components.v1 as components
|
| 17 |
|
| 18 |
+
# huggingface_hub usage if you do model inference
|
| 19 |
+
#from huggingface_hub import InferenceClient
|
| 20 |
|
| 21 |
+
########################################################################################
|
| 22 |
+
# 1) GLOBAL CONFIG & PLACEHOLDERS
|
| 23 |
+
########################################################################################
|
| 24 |
BASE_URL = "https://huggingface.co/spaces/awacke1/MermaidMarkdownDiagramEditor"
|
| 25 |
|
| 26 |
PromptPrefix = "AI-Search: "
|
|
|
|
| 42 |
"Cybernetics": ["Robotic Limbs", "Augmented Eyes"],
|
| 43 |
}
|
| 44 |
|
| 45 |
+
########################################################################################
|
| 46 |
+
# 2) SIMPLE HELPER FUNCS
|
| 47 |
+
########################################################################################
|
| 48 |
|
| 49 |
def process_text(text):
|
| 50 |
"""🕵️ process_text: detective style—prints lines to Streamlit for debugging."""
|
| 51 |
st.write(f"process_text called with: {text}")
|
| 52 |
|
|
|
|
| 53 |
def search_arxiv(text):
|
| 54 |
"""🔭 search_arxiv: pretend to search ArXiv, just prints debug for now."""
|
| 55 |
st.write(f"search_arxiv called with: {text}")
|
| 56 |
|
|
|
|
| 57 |
def SpeechSynthesis(text):
|
| 58 |
+
"""🗣 SpeechSynthesis: read lines out loud? For demo, we just log them."""
|
| 59 |
st.write(f"SpeechSynthesis called with: {text}")
|
| 60 |
|
|
|
|
| 61 |
def process_image(image_file, prompt):
|
| 62 |
"""📷 process_image: imagine an AI pipeline for images, here we just log."""
|
| 63 |
return f"[process_image placeholder] {image_file} => {prompt}"
|
| 64 |
|
|
|
|
| 65 |
def process_video(video_file, seconds_per_frame):
|
| 66 |
"""🎞 process_video: placeholder for video tasks, logs to Streamlit."""
|
| 67 |
st.write(f"[process_video placeholder] {video_file}, {seconds_per_frame} sec/frame")
|
| 68 |
|
|
|
|
| 69 |
API_URL = "https://huggingface-inference-endpoint-placeholder"
|
| 70 |
API_KEY = "hf_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
|
| 71 |
|
|
|
|
| 72 |
@st.cache_resource
|
| 73 |
def InferenceLLM(prompt):
|
| 74 |
"""🔮 InferenceLLM: a stub returning a mock response for 'prompt'."""
|
| 75 |
return f"[InferenceLLM placeholder response to prompt: {prompt}]"
|
| 76 |
|
| 77 |
+
########################################################################################
|
| 78 |
+
# 3) GLOSSARY & FILE UTILITY
|
| 79 |
+
########################################################################################
|
| 80 |
|
|
|
|
|
|
|
|
|
|
| 81 |
@st.cache_resource
|
| 82 |
def display_glossary_entity(k):
|
| 83 |
"""
|
|
|
|
| 85 |
Each link might point to /?q=..., /?q=<prefix>..., or external sites.
|
| 86 |
"""
|
| 87 |
search_urls = {
|
| 88 |
+
"🚀🌌ArXiv": lambda x: f"/?q={quote(x)}",
|
| 89 |
+
"🃏Analyst": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix)}",
|
| 90 |
+
"📚PyCoder": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix2)}",
|
| 91 |
+
"🔬JSCoder": lambda x: f"/?q={quote(x)}-{quote(PromptPrefix3)}",
|
| 92 |
+
"📖": lambda x: f"https://en.wikipedia.org/wiki/{quote(x)}",
|
| 93 |
+
"🔍": lambda x: f"https://www.google.com/search?q={quote(x)}",
|
| 94 |
+
"🔎": lambda x: f"https://www.bing.com/search?q={quote(x)}",
|
| 95 |
+
"🎥": lambda x: f"https://www.youtube.com/results?search_query={quote(x)}",
|
| 96 |
+
"🐦": lambda x: f"https://twitter.com/search?q={quote(x)}",
|
| 97 |
}
|
| 98 |
links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
|
| 99 |
st.markdown(f"**{k}** <small>{links_md}</small>", unsafe_allow_html=True)
|
| 100 |
|
|
|
|
| 101 |
def display_content_or_image(query):
|
| 102 |
"""
|
| 103 |
If 'query' is in transhuman_glossary or there's an image matching 'images/<query>.png',
|
|
|
|
| 116 |
st.warning("No matching content or image found.")
|
| 117 |
return False
|
| 118 |
|
|
|
|
| 119 |
def clear_query_params():
|
| 120 |
+
"""If you want to truly remove them, do a redirect or st.experimental_set_query_params()."""
|
| 121 |
st.warning("Define a redirect or link without query params if you want to truly clear them.")
|
| 122 |
|
| 123 |
+
########################################################################################
|
| 124 |
+
# 4) FILE-HANDLING (MD files, etc.)
|
| 125 |
+
########################################################################################
|
| 126 |
|
|
|
|
|
|
|
|
|
|
| 127 |
def load_file(file_path):
|
| 128 |
"""Load file contents as UTF-8 text, or return empty on error."""
|
| 129 |
try:
|
|
|
|
| 132 |
except:
|
| 133 |
return ""
|
| 134 |
|
|
|
|
| 135 |
@st.cache_resource
|
| 136 |
def create_zip_of_files(files):
|
| 137 |
"""Combine multiple local files into a single .zip for user to download."""
|
|
|
|
| 141 |
zipf.write(file)
|
| 142 |
return zip_name
|
| 143 |
|
|
|
|
| 144 |
@st.cache_resource
|
| 145 |
def get_zip_download_link(zip_file):
|
| 146 |
"""Return an <a> link to download the given zip_file (base64-encoded)."""
|
|
|
|
| 149 |
b64 = base64.b64encode(data).decode()
|
| 150 |
return f'<a href="data:application/zip;base64,{b64}" download="{zip_file}">Download All</a>'
|
| 151 |
|
|
|
|
| 152 |
def get_table_download_link(file_path):
|
| 153 |
"""
|
| 154 |
Creates a download link for a single file from your snippet.
|
|
|
|
| 161 |
file_name = os.path.basename(file_path)
|
| 162 |
ext = os.path.splitext(file_name)[1]
|
| 163 |
mime_map = {
|
| 164 |
+
'.txt': 'text/plain',
|
| 165 |
+
'.py': 'text/plain',
|
| 166 |
'.xlsx': 'text/plain',
|
| 167 |
+
'.csv': 'text/plain',
|
| 168 |
+
'.htm': 'text/html',
|
| 169 |
+
'.md': 'text/markdown',
|
| 170 |
+
'.wav': 'audio/wav'
|
| 171 |
}
|
| 172 |
mime_type = mime_map.get(ext, 'application/octet-stream')
|
| 173 |
return f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
|
| 174 |
except:
|
| 175 |
return ''
|
| 176 |
|
|
|
|
| 177 |
def get_file_size(file_path):
|
| 178 |
"""Get file size in bytes."""
|
| 179 |
return os.path.getsize(file_path)
|
| 180 |
|
|
|
|
| 181 |
def FileSidebar():
|
| 182 |
"""
|
| 183 |
Renders .md files in the sidebar with open/view/run/delete logic.
|
| 184 |
"""
|
| 185 |
all_files = glob.glob("*.md")
|
|
|
|
| 186 |
all_files = [f for f in all_files if len(os.path.splitext(f)[0]) >= 5]
|
|
|
|
| 187 |
all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)
|
| 188 |
|
|
|
|
| 189 |
Files1, Files2 = st.sidebar.columns(2)
|
| 190 |
with Files1:
|
| 191 |
if st.button("🗑 Delete All"):
|
|
|
|
| 201 |
file_name = ''
|
| 202 |
next_action = ''
|
| 203 |
|
|
|
|
| 204 |
for file in all_files:
|
| 205 |
+
col1, col2, col3, col4, col5 = st.sidebar.columns([1,6,1,1,1])
|
| 206 |
with col1:
|
| 207 |
+
if st.button("🌐", key="md_"+file):
|
| 208 |
file_contents = load_file(file)
|
| 209 |
file_name = file
|
| 210 |
next_action = 'md'
|
|
|
|
| 212 |
with col2:
|
| 213 |
st.markdown(get_table_download_link(file), unsafe_allow_html=True)
|
| 214 |
with col3:
|
| 215 |
+
if st.button("📂", key="open_"+file):
|
| 216 |
file_contents = load_file(file)
|
| 217 |
file_name = file
|
| 218 |
next_action = 'open'
|
|
|
|
| 221 |
st.session_state['filetext'] = file_contents
|
| 222 |
st.session_state['next_action'] = next_action
|
| 223 |
with col4:
|
| 224 |
+
if st.button("▶️", key="read_"+file):
|
| 225 |
file_contents = load_file(file)
|
| 226 |
file_name = file
|
| 227 |
next_action = 'search'
|
| 228 |
st.session_state['next_action'] = next_action
|
| 229 |
with col5:
|
| 230 |
+
if st.button("🗑", key="delete_"+file):
|
| 231 |
os.remove(file)
|
| 232 |
st.rerun()
|
| 233 |
|
|
|
|
| 237 |
with open1:
|
| 238 |
file_name_input = st.text_input('File Name:', file_name, key='file_name_input')
|
| 239 |
file_content_area = st.text_area('File Contents:', file_contents, height=300, key='file_content_area')
|
|
|
|
| 240 |
if st.button('💾 Save File'):
|
| 241 |
with open(file_name_input, 'w', encoding='utf-8') as f:
|
| 242 |
f.write(file_content_area)
|
|
|
|
| 255 |
if st.button("🔍Run"):
|
| 256 |
st.write("Running GPT logic placeholder...")
|
| 257 |
|
| 258 |
+
########################################################################################
|
| 259 |
+
# 5) SCORING / GLOSSARIES
|
| 260 |
+
########################################################################################
|
|
|
|
| 261 |
score_dir = "scores"
|
| 262 |
os.makedirs(score_dir, exist_ok=True)
|
| 263 |
|
|
|
|
| 264 |
def generate_key(label, header, idx):
|
| 265 |
return f"{header}_{label}_{idx}_key"
|
| 266 |
|
|
|
|
| 267 |
def update_score(key, increment=1):
|
| 268 |
"""Increment the 'score' for a glossary item in JSON storage."""
|
| 269 |
score_file = os.path.join(score_dir, f"{key}.json")
|
|
|
|
| 278 |
json.dump(score_data, file)
|
| 279 |
return score_data["score"]
|
| 280 |
|
|
|
|
| 281 |
def load_score(key):
|
| 282 |
"""Load the stored score from .json if it exists, else 0."""
|
| 283 |
file_path = os.path.join(score_dir, f"{key}.json")
|
|
|
|
| 287 |
return score_data["score"]
|
| 288 |
return 0
|
| 289 |
|
|
|
|
| 290 |
def display_buttons_with_scores(num_columns_text):
|
| 291 |
"""
|
| 292 |
Show glossary items as clickable buttons, each increments a 'score'.
|
| 293 |
"""
|
| 294 |
game_emojis = {
|
| 295 |
"Dungeons and Dragons": "🐉",
|
| 296 |
+
"Call of Cthulhu": "🐙",
|
| 297 |
+
"GURPS": "🎲",
|
| 298 |
+
"Pathfinder": "🗺️",
|
| 299 |
+
"Kindred of the East": "🌅",
|
| 300 |
+
"Changeling": "🍃",
|
| 301 |
}
|
| 302 |
topic_emojis = {
|
| 303 |
+
"Core Rulebooks": "📚",
|
| 304 |
+
"Maps & Settings": "🗺️",
|
| 305 |
+
"Game Mechanics & Tools": "⚙️",
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| 306 |
+
"Monsters & Adversaries": "👹",
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| 307 |
+
"Campaigns & Adventures": "📜",
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| 308 |
+
"Creatives & Assets": "🎨",
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| 309 |
+
"Game Master Resources": "🛠️",
|
| 310 |
+
"Lore & Background": "📖",
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+
"Character Development": "🧍",
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| 312 |
+
"Homebrew Content": "🔧",
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| 313 |
+
"General Topics": "🌍",
|
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}
|
| 315 |
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| 316 |
for category, games in roleplaying_glossary.items():
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| 325 |
newscore = update_score(key.replace('?', ''))
|
| 326 |
st.markdown(f"Scored **{category} - {game} - {term}** -> {newscore}")
|
| 327 |
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+
########################################################################################
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+
# 6) IMAGES & VIDEOS
|
| 330 |
+
########################################################################################
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|
| 332 |
def display_images_and_wikipedia_summaries(num_columns=4):
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"""Display .png images in a grid, referencing the name as a 'keyword'."""
|
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image_files = [f for f in os.listdir('.') if f.endswith('.png')]
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| 339 |
image_files_sorted = sorted(image_files, key=lambda x: len(x.split('.')[0]))
|
| 340 |
cols = st.columns(num_columns)
|
| 341 |
col_index = 0
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|
| 342 |
for image_file in image_files_sorted:
|
| 343 |
with cols[col_index % num_columns]:
|
| 344 |
try:
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| 354 |
st.write(f"Could not open {image_file}")
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| 355 |
col_index += 1
|
| 356 |
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| 357 |
def display_videos_and_links(num_columns=4):
|
| 358 |
"""Displays all .mp4/.webm in a grid, plus text input for prompts."""
|
| 359 |
video_files = [f for f in os.listdir('.') if f.endswith(('.mp4', '.webm'))]
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| 364 |
video_files_sorted = sorted(video_files, key=lambda x: len(x.split('.')[0]))
|
| 365 |
cols = st.columns(num_columns)
|
| 366 |
col_index = 0
|
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|
| 367 |
for video_file in video_files_sorted:
|
| 368 |
with cols[col_index % num_columns]:
|
| 369 |
k = video_file.split('.')[0]
|
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|
| 378 |
st.error("Invalid input for seconds per frame!")
|
| 379 |
col_index += 1
|
| 380 |
|
| 381 |
+
########################################################################################
|
| 382 |
+
# 7) MERMAID
|
| 383 |
+
########################################################################################
|
| 384 |
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|
| 385 |
def generate_mermaid_html(mermaid_code: str) -> str:
|
| 386 |
"""Embed mermaid_code in a minimal HTML snippet, centered."""
|
| 387 |
return f"""
|
|
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|
| 410 |
</html>
|
| 411 |
"""
|
| 412 |
|
|
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|
| 413 |
def append_model_param(url: str, model_selected: bool) -> str:
|
| 414 |
+
"""If user checks 'model=1', we append &model=1 or ?model=1 if not present."""
|
| 415 |
if not model_selected:
|
| 416 |
return url
|
| 417 |
delimiter = "&" if "?" in url else "?"
|
| 418 |
return f"{url}{delimiter}model=1"
|
| 419 |
|
|
|
|
| 420 |
def inject_base_url(url: str) -> str:
|
| 421 |
"""If link doesn't start with 'http', prepend BASE_URL so it's absolute."""
|
| 422 |
if url.startswith("http"):
|
| 423 |
return url
|
| 424 |
return f"{BASE_URL}{url}"
|
| 425 |
|
| 426 |
+
########################################################################################
|
| 427 |
+
# 8) NEW MERMAID CODE - NO DOUBLE QUOTES, USE UPPER/LOWER MERGING
|
| 428 |
+
########################################################################################
|
| 429 |
+
|
| 430 |
+
# The user wants no double quotes, plus a middle word like OpenUser
|
| 431 |
+
# Example usage:
|
| 432 |
+
# click U /?q=U OpenUser _blank
|
| 433 |
+
# which might cause syntax issues in older Mermaid, but we'll do it anyway.
|
| 434 |
|
|
|
|
| 435 |
DEFAULT_MERMAID = r"""
|
| 436 |
flowchart LR
|
| 437 |
+
U((User😎)) -- Talk🗣 --> LLM[LLMAgent🤖\nExtractInfo]
|
| 438 |
+
click U /?q=U OpenUser _blank
|
| 439 |
+
click LLM /?q=LLM%20Agent%20ExtractInfo OpenLLM _blank
|
| 440 |
|
| 441 |
+
LLM -- Query🔍 --> HS[HybridSearch🔎\nVectorNERLexical]
|
| 442 |
+
click HS /?q=HybridSearchVectorNERLexical LaunchSearch _blank
|
| 443 |
|
| 444 |
+
HS -- Reason🤔 --> RE[ReasoningEngine🛠️\nNeuralNetworkMedical]
|
| 445 |
+
click RE /?q=ReasoningEngineNeuralNetworkMedical BrainTool _blank
|
| 446 |
|
| 447 |
+
RE -- Link📡 --> KG((KnowledgeGraph📚\nOntologyGAR RAG))
|
| 448 |
+
click KG /?q=KnowledgeGraphOntologyGARRAG ShowKG _blank
|
| 449 |
"""
|
| 450 |
|
| 451 |
+
########################################################################################
|
| 452 |
+
# 9) MAIN UI
|
| 453 |
+
########################################################################################
|
| 454 |
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|
| 455 |
def main():
|
| 456 |
+
st.set_page_config(page_title="Mermaid with No Double Quotes", layout="wide")
|
| 457 |
|
| 458 |
# 1) Query param parsing
|
| 459 |
query_params = st.query_params
|
| 460 |
+
query = query_params.get('q', [""])[0].strip()
|
| 461 |
+
if query:
|
| 462 |
+
st.write("process_text called with:", PromptPrefix + query)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 463 |
|
| 464 |
# 2) Let user pick ?model=1
|
| 465 |
st.sidebar.write("## Diagram Link Settings")
|
| 466 |
model_selected = st.sidebar.checkbox("Append ?model=1 to each link?")
|
| 467 |
|
| 468 |
+
# 3) We'll do a minimal injection: if line starts with click and has /?q=, we add base & model
|
|
|
|
| 469 |
lines = DEFAULT_MERMAID.strip().split("\n")
|
| 470 |
new_lines = []
|
| 471 |
for line in lines:
|
| 472 |
+
# e.g.: click U /?q=U OpenUser _blank
|
| 473 |
+
if line.strip().startswith("click ") and "/?q=" in line:
|
| 474 |
+
parts = line.split()
|
| 475 |
+
# Example: ["click","U","/?q=U","OpenUser","_blank"]
|
| 476 |
+
if len(parts) >= 5:
|
| 477 |
+
node_name = parts[1] # e.g. U
|
| 478 |
+
old_url = parts[2] # e.g. /?q=U
|
| 479 |
+
middle = parts[3] # e.g. OpenUser
|
| 480 |
+
target = parts[4] # e.g. _blank
|
| 481 |
+
|
| 482 |
+
# inject base
|
|
|
|
|
|
|
|
|
|
| 483 |
new_url = inject_base_url(old_url)
|
| 484 |
+
# append model if chosen
|
| 485 |
new_url = append_model_param(new_url, model_selected)
|
| 486 |
+
# reassemble line
|
| 487 |
+
# e.g. "click U <BASEURL> OpenUser _blank"
|
| 488 |
+
new_line = f"click {node_name} {new_url} {middle} {target}"
|
|
|
|
|
|
|
|
|
|
| 489 |
new_lines.append(new_line)
|
| 490 |
else:
|
| 491 |
new_lines.append(line)
|
|
|
|
| 493 |
new_lines.append(line)
|
| 494 |
|
| 495 |
final_mermaid = "\n".join(new_lines)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 496 |
|
| 497 |
+
# 4) Render the top-centered diagram
|
| 498 |
+
st.title("Mermaid Diagram - No Double Quotes & 'OpenUser'-style Links")
|
| 499 |
diagram_html = generate_mermaid_html(final_mermaid)
|
| 500 |
components.html(diagram_html, height=400, scrolling=True)
|
| 501 |
|
| 502 |
+
# 5) Two-column interface: Markdown & (final) Mermaid
|
| 503 |
left_col, right_col = st.columns(2)
|
| 504 |
|
| 505 |
with left_col:
|
| 506 |
st.subheader("Markdown Side 📝")
|
| 507 |
if "markdown_text" not in st.session_state:
|
| 508 |
st.session_state["markdown_text"] = "## Hello!\nYou can type some *Markdown* here.\n"
|
| 509 |
+
|
| 510 |
+
markdown_text = st.text_area("Edit Markdown:",
|
| 511 |
+
value=st.session_state["markdown_text"],
|
| 512 |
+
height=300)
|
|
|
|
| 513 |
st.session_state["markdown_text"] = markdown_text
|
| 514 |
|
|
|
|
| 515 |
colA, colB = st.columns(2)
|
| 516 |
with colA:
|
| 517 |
if st.button("🔄 Refresh Markdown"):
|
|
|
|
| 527 |
|
| 528 |
with right_col:
|
| 529 |
st.subheader("Mermaid Side 🧜♂️")
|
| 530 |
+
|
| 531 |
if "current_mermaid" not in st.session_state:
|
| 532 |
st.session_state["current_mermaid"] = final_mermaid
|
| 533 |
|
| 534 |
+
mermaid_input = st.text_area("Edit Mermaid Code:",
|
| 535 |
+
value=st.session_state["current_mermaid"],
|
| 536 |
+
height=300)
|
| 537 |
+
|
|
|
|
|
|
|
| 538 |
colC, colD = st.columns(2)
|
| 539 |
with colC:
|
| 540 |
if st.button("🎨 Refresh Diagram"):
|
|
|
|
| 550 |
st.markdown("**Mermaid Source:**")
|
| 551 |
st.code(mermaid_input, language="python", line_numbers=True)
|
| 552 |
|
| 553 |
+
# 6) Media Galleries
|
| 554 |
st.markdown("---")
|
| 555 |
st.header("Media Galleries")
|
| 556 |
+
|
| 557 |
num_columns_images = st.slider("Choose Number of Image Columns", 1, 15, 5, key="num_columns_images")
|
| 558 |
display_images_and_wikipedia_summaries(num_columns_images)
|
| 559 |
|
| 560 |
num_columns_video = st.slider("Choose Number of Video Columns", 1, 15, 5, key="num_columns_video")
|
| 561 |
display_videos_and_links(num_columns_video)
|
| 562 |
|
| 563 |
+
# 7) File Sidebar
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 564 |
FileSidebar()
|
| 565 |
|
| 566 |
+
# 8) Random Title at bottom
|
| 567 |
titles = [
|
| 568 |
"🧠🎭 Semantic Symphonies & Episodic Encores",
|
| 569 |
"🌌🎼 AI Rhythms of Memory Lane",
|
|
|
|
| 576 |
]
|
| 577 |
st.markdown(f"**{random.choice(titles)}**")
|
| 578 |
|
| 579 |
+
# End of main
|
| 580 |
|
| 581 |
if __name__ == "__main__":
|
| 582 |
main()
|