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Update app.py
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app.py
CHANGED
@@ -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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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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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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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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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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@@ -226,7 +212,7 @@ def FileSidebar():
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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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@@ -270,18 +255,15 @@ def FileSidebar():
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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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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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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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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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-
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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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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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-
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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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-
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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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-
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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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-
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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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# =====================================================================================
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# 7) MAIN APP
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# =====================================================================================
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def main():
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st.set_page_config(page_title="Mermaid
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# 1) Query param parsing
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query_params = st.query_params
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# If 'action' param is present
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if 'action' in query_params:
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action_list = query_params['action']
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if action_list:
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action = action_list[0]
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if action == 'show_message':
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st.success("Showing a message because 'action=show_message' was found in the URL.")
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elif action == 'clear':
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clear_query_params()
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# If there's a 'query=' param, display content or image
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if 'query' in query_params:
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query_val = query_params['query'][0]
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display_content_or_image(query_val)
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# 2) Let user pick ?model=1
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st.sidebar.write("## Diagram Link Settings")
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model_selected = st.sidebar.checkbox("Append ?model=1 to each link?")
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# 3) We'll
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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": "⚙️",
|
306 |
+
"Monsters & Adversaries": "👹",
|
307 |
+
"Campaigns & Adventures": "📜",
|
308 |
+
"Creatives & Assets": "🎨",
|
309 |
+
"Game Master Resources": "🛠️",
|
310 |
+
"Lore & Background": "📖",
|
311 |
+
"Character Development": "🧍",
|
312 |
+
"Homebrew Content": "🔧",
|
313 |
+
"General Topics": "🌍",
|
314 |
}
|
315 |
|
316 |
for category, games in roleplaying_glossary.items():
|
|
|
325 |
newscore = update_score(key.replace('?', ''))
|
326 |
st.markdown(f"Scored **{category} - {game} - {term}** -> {newscore}")
|
327 |
|
328 |
+
########################################################################################
|
329 |
+
# 6) IMAGES & VIDEOS
|
330 |
+
########################################################################################
|
331 |
|
|
|
|
|
|
|
332 |
def display_images_and_wikipedia_summaries(num_columns=4):
|
333 |
"""Display .png images in a grid, referencing the name as a 'keyword'."""
|
334 |
image_files = [f for f in os.listdir('.') if f.endswith('.png')]
|
|
|
339 |
image_files_sorted = sorted(image_files, key=lambda x: len(x.split('.')[0]))
|
340 |
cols = st.columns(num_columns)
|
341 |
col_index = 0
|
|
|
342 |
for image_file in image_files_sorted:
|
343 |
with cols[col_index % num_columns]:
|
344 |
try:
|
|
|
354 |
st.write(f"Could not open {image_file}")
|
355 |
col_index += 1
|
356 |
|
|
|
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'))]
|
|
|
364 |
video_files_sorted = sorted(video_files, key=lambda x: len(x.split('.')[0]))
|
365 |
cols = st.columns(num_columns)
|
366 |
col_index = 0
|
|
|
367 |
for video_file in video_files_sorted:
|
368 |
with cols[col_index % num_columns]:
|
369 |
k = video_file.split('.')[0]
|
|
|
378 |
st.error("Invalid input for seconds per frame!")
|
379 |
col_index += 1
|
380 |
|
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########################################################################################
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# 7) MERMAID
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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 checks 'model=1', we append &model=1 or ?model=1 if not present."""
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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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########################################################################################
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# 8) NEW MERMAID CODE - NO DOUBLE QUOTES, USE UPPER/LOWER MERGING
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########################################################################################
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# The user wants no double quotes, plus a middle word like OpenUser
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# Example usage:
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# click U /?q=U OpenUser _blank
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# which might cause syntax issues in older Mermaid, but we'll do it anyway.
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DEFAULT_MERMAID = r"""
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flowchart LR
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U((User😎)) -- Talk🗣 --> LLM[LLMAgent🤖\nExtractInfo]
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click U /?q=U OpenUser _blank
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click LLM /?q=LLM%20Agent%20ExtractInfo OpenLLM _blank
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LLM -- Query🔍 --> HS[HybridSearch🔎\nVectorNERLexical]
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click HS /?q=HybridSearchVectorNERLexical LaunchSearch _blank
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HS -- Reason🤔 --> RE[ReasoningEngine🛠️\nNeuralNetworkMedical]
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click RE /?q=ReasoningEngineNeuralNetworkMedical BrainTool _blank
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RE -- Link📡 --> KG((KnowledgeGraph📚\nOntologyGAR RAG))
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click KG /?q=KnowledgeGraphOntologyGARRAG ShowKG _blank
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"""
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########################################################################################
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+
# 9) MAIN UI
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########################################################################################
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def main():
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+
st.set_page_config(page_title="Mermaid with No Double Quotes", layout="wide")
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# 1) Query param parsing
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query_params = st.query_params
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460 |
+
query = query_params.get('q', [""])[0].strip()
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461 |
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if query:
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st.write("process_text called with:", PromptPrefix + query)
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463 |
|
464 |
# 2) Let user pick ?model=1
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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
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|
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
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|
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}"
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|
489 |
new_lines.append(new_line)
|
490 |
else:
|
491 |
new_lines.append(line)
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|
493 |
new_lines.append(line)
|
494 |
|
495 |
final_mermaid = "\n".join(new_lines)
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|
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()
|