Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,45 +4,50 @@ import glob
|
|
4 |
import re
|
5 |
import base64
|
6 |
import pytz
|
7 |
-
import time
|
8 |
-
import streamlit.components.v1 as components
|
9 |
-
|
10 |
-
from urllib.parse import quote
|
11 |
-
from gradio_client import Client
|
12 |
from datetime import datetime
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
"""
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
44 |
-
|
45 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
if 'selected_file' not in st.session_state:
|
47 |
st.session_state.selected_file = None
|
48 |
if 'view_mode' not in st.session_state:
|
@@ -50,440 +55,58 @@ if 'view_mode' not in st.session_state:
|
|
50 |
if 'files' not in st.session_state:
|
51 |
st.session_state.files = []
|
52 |
|
53 |
-
#
|
54 |
-
|
55 |
-
|
56 |
-
3. Create a mermaid model of the knowledge tree around concepts and parts of this topic. Use appropriate emojis.
|
57 |
-
4. Create a top three list of tools and techniques for this topic with markdown and emojis.
|
58 |
-
5. Create a specification in markdown outline with emojis for this topic.
|
59 |
-
6. Create an image generation prompt for this with Bosch and Turner oil painting influences.
|
60 |
-
7. Generate an image which describes this as a concept and area of study.
|
61 |
-
8. List top ten glossary terms with emojis related to this topic as markdown outline."""
|
62 |
-
# Split the data by lines and remove the numbering/period (assume each line has "number. " at the start)
|
63 |
-
moe_prompts_list = [line.split('. ', 1)[1].strip() for line in moe_prompts_data.splitlines() if '. ' in line]
|
64 |
-
moe_options = [""] + moe_prompts_list # blank is default
|
65 |
-
|
66 |
-
# Place the selectbox at the top of the app; store selection in session_state key "selected_moe"
|
67 |
-
selected_moe = st.selectbox("Choose a MoE system prompt", options=moe_options, index=0, key="selected_moe")
|
68 |
-
|
69 |
-
# --- Utility Functions ---
|
70 |
-
|
71 |
-
def get_display_name(filename):
|
72 |
-
"""Extract text from parentheses or return filename as is."""
|
73 |
-
match = re.search(r'\((.*?)\)', filename)
|
74 |
-
if match:
|
75 |
-
return match.group(1)
|
76 |
-
return filename
|
77 |
-
|
78 |
-
def get_time_display(filename):
|
79 |
-
"""Extract just the time portion from the filename."""
|
80 |
-
time_match = re.match(r'(\d{2}\d{2}[AP]M)', filename)
|
81 |
-
if time_match:
|
82 |
-
return time_match.group(1)
|
83 |
-
return filename
|
84 |
|
|
|
85 |
def sanitize_filename(text):
|
86 |
-
|
87 |
-
safe_text = re.sub(r'[^\w\s-]', ' ', text)
|
88 |
-
safe_text = re.sub(r'\s+', ' ', safe_text)
|
89 |
-
safe_text = safe_text.strip()
|
90 |
-
return safe_text[:50]
|
91 |
|
92 |
def generate_timestamp_filename(query):
|
93 |
-
"""Generate filename with format: 1103AM 11032024 (Query).md"""
|
94 |
central = pytz.timezone('US/Central')
|
95 |
-
|
96 |
-
|
97 |
-
date_str = current_time.strftime("%m%d%Y")
|
98 |
-
safe_query = sanitize_filename(query)
|
99 |
-
filename = f"{time_str} {date_str} ({safe_query}).md"
|
100 |
-
return filename
|
101 |
|
102 |
-
def
|
103 |
-
"""Delete a file and return success status."""
|
104 |
-
try:
|
105 |
-
os.remove(file_path)
|
106 |
-
return True
|
107 |
-
except Exception as e:
|
108 |
-
st.error(f"Error deleting file: {e}")
|
109 |
-
return False
|
110 |
-
|
111 |
-
def save_ai_interaction(query, ai_result, is_rerun=False):
|
112 |
-
"""Save AI interaction to a markdown file with new filename format."""
|
113 |
filename = generate_timestamp_filename(query)
|
114 |
-
if is_rerun:
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
{query}
|
119 |
-
|
120 |
-
# AI Response (Fun Version)
|
121 |
-
{ai_result}
|
122 |
-
"""
|
123 |
-
else:
|
124 |
-
content = f"""# Query: {query}
|
125 |
-
|
126 |
-
## AI Response
|
127 |
-
{ai_result}
|
128 |
-
"""
|
129 |
-
try:
|
130 |
-
with open(filename, 'w', encoding='utf-8') as f:
|
131 |
-
f.write(content)
|
132 |
-
return filename
|
133 |
-
except Exception as e:
|
134 |
-
st.error(f"Error saving file: {e}")
|
135 |
-
return None
|
136 |
-
|
137 |
-
def get_file_download_link(file_path):
|
138 |
-
"""Generate a base64 download link for a file."""
|
139 |
-
try:
|
140 |
-
with open(file_path, 'r', encoding='utf-8') as f:
|
141 |
-
content = f.read()
|
142 |
-
b64 = base64.b64encode(content.encode()).decode()
|
143 |
-
filename = os.path.basename(file_path)
|
144 |
-
return f'<a href="data:text/markdown;base64,{b64}" download="{filename}">{get_display_name(filename)}</a>'
|
145 |
-
except Exception as e:
|
146 |
-
st.error(f"Error creating download link: {e}")
|
147 |
-
return None
|
148 |
-
|
149 |
-
# --- New Functions for Markdown File Parsing and Link Tree ---
|
150 |
-
|
151 |
-
def clean_item_text(line):
|
152 |
-
"""
|
153 |
-
Remove emoji and numbered prefix from a line.
|
154 |
-
E.g., "🔧 1. Low-level system integrations compilers Cplusplus" becomes
|
155 |
-
"Low-level system integrations compilers Cplusplus".
|
156 |
-
Also remove any bold markdown markers.
|
157 |
-
"""
|
158 |
-
# Remove leading emoji and number+period
|
159 |
-
cleaned = re.sub(r'^[^\w]*(\d+\.\s*)', '', line)
|
160 |
-
# Remove any remaining emoji (simple unicode range) and ** markers
|
161 |
-
cleaned = re.sub(r'[\U0001F300-\U0001FAFF]', '', cleaned)
|
162 |
-
cleaned = cleaned.replace("**", "")
|
163 |
-
return cleaned.strip()
|
164 |
-
|
165 |
-
def clean_header_text(header_line):
|
166 |
-
"""
|
167 |
-
Extract header text from a markdown header line.
|
168 |
-
E.g., "🔧 **Systems, Infrastructure & Low-Level Engineering**" becomes
|
169 |
-
"Systems, Infrastructure & Low-Level Engineering".
|
170 |
-
"""
|
171 |
-
match = re.search(r'\*\*(.*?)\*\*', header_line)
|
172 |
-
if match:
|
173 |
-
return match.group(1).strip()
|
174 |
-
return header_line.strip()
|
175 |
-
|
176 |
-
def parse_markdown_sections(md_text):
|
177 |
-
"""
|
178 |
-
Parse markdown text into sections.
|
179 |
-
Each section starts with a header line containing bold text.
|
180 |
-
Returns a list of dicts with keys: 'header' and 'items' (list of lines).
|
181 |
-
Skips any content before the first header.
|
182 |
-
"""
|
183 |
-
sections = []
|
184 |
-
current_section = None
|
185 |
-
lines = md_text.splitlines()
|
186 |
-
for line in lines:
|
187 |
-
if line.strip() == "":
|
188 |
-
continue
|
189 |
-
# Check if line is a header (contains bold markdown and an emoji)
|
190 |
-
if '**' in line:
|
191 |
-
header = clean_header_text(line)
|
192 |
-
current_section = {'header': header, 'raw': line, 'items': []}
|
193 |
-
sections.append(current_section)
|
194 |
-
elif current_section is not None:
|
195 |
-
# Only add lines that appear to be list items (start with an emoji and number)
|
196 |
-
if re.match(r'^[^\w]*\d+\.\s+', line):
|
197 |
-
current_section['items'].append(line)
|
198 |
-
else:
|
199 |
-
if current_section['items']:
|
200 |
-
current_section['items'][-1] += " " + line.strip()
|
201 |
-
else:
|
202 |
-
current_section['items'].append(line)
|
203 |
-
return sections
|
204 |
-
|
205 |
-
def display_section_items(items):
|
206 |
-
"""
|
207 |
-
Display list of items as links.
|
208 |
-
For each item, clean the text and generate search links using your original link set.
|
209 |
-
If a MoE system prompt is selected (non-blank), prepend it—with three spaces—before the cleaned text.
|
210 |
-
"""
|
211 |
-
# Retrieve the current selected MoE prompt (if any)
|
212 |
-
moe_prefix = st.session_state.get("selected_moe", "")
|
213 |
-
search_urls = {
|
214 |
-
"📚📖ArXiv": lambda k: f"/?q={quote(k)}",
|
215 |
-
"🔮<sup>Google</sup>": lambda k: f"https://www.google.com/search?q={quote(k)}",
|
216 |
-
"📺<sup>Youtube</sup>": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
|
217 |
-
"🔭<sup>Bing</sup>": lambda k: f"https://www.bing.com/search?q={quote(k)}",
|
218 |
-
"💡<sup>Claude</sup>": lambda k: f"https://claude.ai/new?q={quote(k)}",
|
219 |
-
"📱X": lambda k: f"https://twitter.com/search?q={quote(k)}",
|
220 |
-
"🤖<sup>GPT</sup>": lambda k: f"https://chatgpt.com/?model=o3-mini-high&q={quote(k)}",
|
221 |
-
}
|
222 |
-
for item in items:
|
223 |
-
cleaned_text = clean_item_text(item)
|
224 |
-
# If a MoE prompt is selected (non-blank), prepend it (with three spaces) to the cleaned text.
|
225 |
-
final_query = (moe_prefix + " " if moe_prefix else "") + cleaned_text
|
226 |
-
links_md = ' '.join([f"[{emoji}]({url(final_query)})" for emoji, url in search_urls.items()])
|
227 |
-
st.markdown(f"- **{cleaned_text}** {links_md}", unsafe_allow_html=True)
|
228 |
-
|
229 |
-
def display_markdown_tree():
|
230 |
-
"""
|
231 |
-
Allow user to upload a .md file or load README.md.
|
232 |
-
Parse the markdown into sections and display each section in a collapsed expander
|
233 |
-
with the original markdown and a link tree of items.
|
234 |
-
"""
|
235 |
-
st.markdown("## Markdown Tree Parser")
|
236 |
-
uploaded_file = st.file_uploader("Upload a Markdown file", type=["md"])
|
237 |
-
if uploaded_file is not None:
|
238 |
-
md_content = uploaded_file.read().decode("utf-8")
|
239 |
-
else:
|
240 |
-
if os.path.exists("README.md"):
|
241 |
-
with open("README.md", "r", encoding="utf-8") as f:
|
242 |
-
md_content = f.read()
|
243 |
-
else:
|
244 |
-
st.info("No Markdown file uploaded and README.md not found.")
|
245 |
-
return
|
246 |
-
|
247 |
-
sections = parse_markdown_sections(md_content)
|
248 |
-
if not sections:
|
249 |
-
st.info("No sections found in the markdown file.")
|
250 |
-
return
|
251 |
-
|
252 |
-
for sec in sections:
|
253 |
-
with st.expander(sec['header'], expanded=False):
|
254 |
-
st.markdown(f"**Original Markdown:**\n\n{sec['raw']}\n")
|
255 |
-
if sec['items']:
|
256 |
-
st.markdown("**Link Tree:**")
|
257 |
-
display_section_items(sec['items'])
|
258 |
-
else:
|
259 |
-
st.write("No items found in this section.")
|
260 |
-
|
261 |
-
# --- Existing AI and File Management Functions ---
|
262 |
-
|
263 |
-
def search_arxiv(query):
|
264 |
-
st.write("Performing AI Lookup...")
|
265 |
-
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
|
266 |
-
result1 = client.predict(
|
267 |
-
prompt=query,
|
268 |
-
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
|
269 |
-
stream_outputs=True,
|
270 |
-
api_name="/ask_llm"
|
271 |
-
)
|
272 |
-
st.markdown("### Mixtral-8x7B-Instruct-v0.1 Result")
|
273 |
-
st.markdown(result1)
|
274 |
-
result2 = client.predict(
|
275 |
-
prompt=query,
|
276 |
-
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
|
277 |
-
stream_outputs=True,
|
278 |
-
api_name="/ask_llm"
|
279 |
-
)
|
280 |
-
st.markdown("### Mistral-7B-Instruct-v0.2 Result")
|
281 |
-
st.markdown(result2)
|
282 |
-
combined_result = f"{result1}\n\n{result2}"
|
283 |
-
return combined_result
|
284 |
-
|
285 |
-
@st.cache_resource
|
286 |
-
def SpeechSynthesis(result):
|
287 |
-
documentHTML5 = '''
|
288 |
-
<!DOCTYPE html>
|
289 |
-
<html>
|
290 |
-
<head>
|
291 |
-
<title>Read It Aloud</title>
|
292 |
-
<script type="text/javascript">
|
293 |
-
function readAloud() {
|
294 |
-
const text = document.getElementById("textArea").value;
|
295 |
-
const speech = new SpeechSynthesisUtterance(text);
|
296 |
-
window.speechSynthesis.speak(speech);
|
297 |
-
}
|
298 |
-
</script>
|
299 |
-
</head>
|
300 |
-
<body>
|
301 |
-
<h1>🔊 Read It Aloud</h1>
|
302 |
-
<textarea id="textArea" rows="10" cols="80">
|
303 |
-
'''
|
304 |
-
documentHTML5 += result
|
305 |
-
documentHTML5 += '''
|
306 |
-
</textarea>
|
307 |
-
<br>
|
308 |
-
<button onclick="readAloud()">🔊 Read Aloud</button>
|
309 |
-
</body>
|
310 |
-
</html>
|
311 |
-
'''
|
312 |
-
components.html(documentHTML5, width=1280, height=300)
|
313 |
-
|
314 |
-
def display_file_content(file_path):
|
315 |
-
"""Display file content with editing capabilities."""
|
316 |
-
try:
|
317 |
-
with open(file_path, 'r', encoding='utf-8') as f:
|
318 |
-
content = f.read()
|
319 |
-
if st.session_state.view_mode == 'view':
|
320 |
-
st.markdown(content)
|
321 |
-
else:
|
322 |
-
edited_content = st.text_area(
|
323 |
-
"Edit content",
|
324 |
-
content,
|
325 |
-
height=400,
|
326 |
-
key=f"edit_{os.path.basename(file_path)}"
|
327 |
-
)
|
328 |
-
if st.button("Save Changes", key=f"save_{os.path.basename(file_path)}"):
|
329 |
-
try:
|
330 |
-
with open(file_path, 'w', encoding='utf-8') as f:
|
331 |
-
f.write(edited_content)
|
332 |
-
st.success(f"Successfully saved changes to {file_path}")
|
333 |
-
except Exception as e:
|
334 |
-
st.error(f"Error saving changes: {e}")
|
335 |
-
except Exception as e:
|
336 |
-
st.error(f"Error reading file: {e}")
|
337 |
-
|
338 |
-
def file_management_sidebar():
|
339 |
-
"""Redesigned sidebar with improved layout and additional functionality."""
|
340 |
-
st.sidebar.title("📁 File Management")
|
341 |
-
md_files = [file for file in glob.glob("*.md") if file.lower() != 'readme.md']
|
342 |
-
md_files.sort()
|
343 |
-
st.session_state.files = md_files
|
344 |
-
if md_files:
|
345 |
-
st.sidebar.markdown("### Saved Files")
|
346 |
-
for idx, file in enumerate(md_files):
|
347 |
-
st.sidebar.markdown("---")
|
348 |
-
st.sidebar.text(get_time_display(file))
|
349 |
-
download_link = get_file_download_link(file)
|
350 |
-
if download_link:
|
351 |
-
st.sidebar.markdown(download_link, unsafe_allow_html=True)
|
352 |
-
col1, col2, col3, col4 = st.sidebar.columns(4)
|
353 |
-
with col1:
|
354 |
-
if st.button("📄View", key=f"view_{idx}"):
|
355 |
-
st.session_state.selected_file = file
|
356 |
-
st.session_state.view_mode = 'view'
|
357 |
-
with col2:
|
358 |
-
if st.button("✏️Edit", key=f"edit_{idx}"):
|
359 |
-
st.session_state.selected_file = file
|
360 |
-
st.session_state.view_mode = 'edit'
|
361 |
-
with col3:
|
362 |
-
if st.button("🔄Run", key=f"rerun_{idx}"):
|
363 |
-
try:
|
364 |
-
with open(file, 'r', encoding='utf-8') as f:
|
365 |
-
content = f.read()
|
366 |
-
rerun_prefix = """For the markdown below reduce the text to a humorous fun outline with emojis and markdown outline levels in outline that convey all the facts and adds wise quotes and funny statements to engage the reader:
|
367 |
-
|
368 |
-
"""
|
369 |
-
full_prompt = rerun_prefix + content
|
370 |
-
ai_result = perform_ai_lookup(full_prompt)
|
371 |
-
saved_file = save_ai_interaction(content, ai_result, is_rerun=True)
|
372 |
-
if saved_file:
|
373 |
-
st.success(f"Created fun version in {saved_file}")
|
374 |
-
st.session_state.selected_file = saved_file
|
375 |
-
st.session_state.view_mode = 'view'
|
376 |
-
except Exception as e:
|
377 |
-
st.error(f"Error during rerun: {e}")
|
378 |
-
with col4:
|
379 |
-
if st.button("🗑️Delete", key=f"delete_{idx}"):
|
380 |
-
if delete_file(file):
|
381 |
-
st.success(f"Deleted {file}")
|
382 |
-
st.rerun()
|
383 |
-
else:
|
384 |
-
st.error(f"Failed to delete {file}")
|
385 |
-
st.sidebar.markdown("---")
|
386 |
-
if st.sidebar.button("📝 Create New Note"):
|
387 |
-
filename = generate_timestamp_filename("New Note")
|
388 |
-
with open(filename, 'w', encoding='utf-8') as f:
|
389 |
-
f.write("# New Markdown File\n")
|
390 |
-
st.sidebar.success(f"Created: {filename}")
|
391 |
-
st.session_state.selected_file = filename
|
392 |
-
st.session_state.view_mode = 'edit'
|
393 |
-
else:
|
394 |
-
st.sidebar.write("No markdown files found.")
|
395 |
-
if st.sidebar.button("📝 Create First Note"):
|
396 |
-
filename = generate_timestamp_filename("New Note")
|
397 |
-
with open(filename, 'w', encoding='utf-8') as f:
|
398 |
-
f.write("# New Markdown File\n")
|
399 |
-
st.sidebar.success(f"Created: {filename}")
|
400 |
-
st.session_state.selected_file = filename
|
401 |
-
st.session_state.view_mode = 'edit'
|
402 |
-
|
403 |
-
def perform_ai_lookup(query):
|
404 |
-
start_time = time.strftime("%Y-%m-%d %H:%M:%S")
|
405 |
-
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
|
406 |
-
response1 = client.predict(
|
407 |
-
query,
|
408 |
-
20,
|
409 |
-
"Semantic Search",
|
410 |
-
"mistralai/Mixtral-8x7B-Instruct-v0.1",
|
411 |
-
api_name="/update_with_rag_md"
|
412 |
-
)
|
413 |
-
Question = '### 🔎 ' + query + '\r\n'
|
414 |
-
References = response1[0]
|
415 |
-
ReferenceLinks = ""
|
416 |
-
results = ""
|
417 |
-
RunSecondQuery = True
|
418 |
-
if RunSecondQuery:
|
419 |
-
response2 = client.predict(
|
420 |
-
query,
|
421 |
-
"mistralai/Mixtral-8x7B-Instruct-v0.1",
|
422 |
-
True,
|
423 |
-
api_name="/ask_llm"
|
424 |
-
)
|
425 |
-
if len(response2) > 10:
|
426 |
-
Answer = response2
|
427 |
-
SpeechSynthesis(Answer)
|
428 |
-
results = Question + '\r\n' + Answer + '\r\n' + References + '\r\n' + ReferenceLinks
|
429 |
-
st.markdown(results)
|
430 |
-
st.write('🔍Run of Multi-Agent System Paper Summary Spec is Complete')
|
431 |
-
end_time = time.strftime("%Y-%m-%d %H:%M:%S")
|
432 |
-
start_timestamp = time.mktime(time.strptime(start_time, "%Y-%m-%d %H:%M:%S"))
|
433 |
-
end_timestamp = time.mktime(time.strptime(end_time, "%Y-%m-%d %H:%M:%S"))
|
434 |
-
elapsed_seconds = end_timestamp - start_timestamp
|
435 |
-
st.write(f"Start time: {start_time}")
|
436 |
-
st.write(f"Finish time: {end_time}")
|
437 |
-
st.write(f"Elapsed time: {elapsed_seconds:.2f} seconds")
|
438 |
-
filename = generate_filename(query, "md")
|
439 |
-
create_file(filename, query, results)
|
440 |
-
return results
|
441 |
-
|
442 |
-
def generate_filename(prompt, file_type):
|
443 |
-
central = pytz.timezone('US/Central')
|
444 |
-
safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
|
445 |
-
safe_prompt = re.sub(r'\W+', '_', prompt)[:90]
|
446 |
-
return f"{safe_date_time}_{safe_prompt}.{file_type}"
|
447 |
-
|
448 |
-
def create_file(filename, prompt, response):
|
449 |
-
with open(filename, 'w', encoding='utf-8') as file:
|
450 |
-
file.write(prompt + "\n\n" + response)
|
451 |
|
452 |
-
|
|
|
|
|
|
|
|
|
453 |
|
|
|
454 |
def main():
|
455 |
-
st.markdown("### AI Knowledge Tree Builder 🧠🌱
|
456 |
-
|
457 |
-
query = query_params.get('q', '')
|
458 |
-
show_initial_content = True
|
459 |
|
460 |
if query:
|
461 |
-
|
462 |
-
st.write(f"### Search query received: {query}")
|
463 |
try:
|
464 |
-
|
465 |
-
|
466 |
-
|
467 |
-
|
468 |
-
|
469 |
-
st.session_state.view_mode = 'view'
|
470 |
except Exception as e:
|
471 |
-
st.error(f"
|
472 |
-
|
473 |
-
|
474 |
-
|
|
|
|
|
|
|
|
|
|
|
475 |
if st.session_state.selected_file:
|
476 |
-
|
477 |
-
|
478 |
-
st.markdown(f"### Current File: {st.session_state.selected_file}")
|
479 |
-
display_file_content(st.session_state.selected_file)
|
480 |
-
else:
|
481 |
-
st.error("Selected file no longer exists.")
|
482 |
-
st.session_state.selected_file = None
|
483 |
-
st.rerun()
|
484 |
-
|
485 |
-
if show_initial_content:
|
486 |
-
display_markdown_tree()
|
487 |
|
488 |
if __name__ == "__main__":
|
489 |
-
main()
|
|
|
4 |
import re
|
5 |
import base64
|
6 |
import pytz
|
|
|
|
|
|
|
|
|
|
|
7 |
from datetime import datetime
|
8 |
+
from transformers.agents import CodeAgent, ReactCodeAgent, ReactJsonAgent, load_tool
|
9 |
+
|
10 |
+
# Page config
|
11 |
+
st.set_page_config(page_title="🌳✨ AI Knowledge Tree Builder 🛠️🤓", page_icon="🌳", layout="wide")
|
12 |
+
st.sidebar.markdown("""
|
13 |
+
🌳🤖 **AI Knowledge Tree Builder**
|
14 |
+
1. 📱 Universal access
|
15 |
+
2. ⚡ Rapid builds (<2min)
|
16 |
+
3. 🔗 Linked AI sources
|
17 |
+
4. 🎯 Lean core
|
18 |
+
5. 🧠 Shareable memory
|
19 |
+
6. 👤 Personalized
|
20 |
+
7. 🐦 Cloneable brevity
|
21 |
+
""")
|
22 |
+
|
23 |
+
# Initialize Agents
|
24 |
+
tools = [load_tool("text-to-speech"), load_tool("image_question_answering")]
|
25 |
+
agents = {
|
26 |
+
"CodeCrafter": CodeAgent(tools=tools, system_prompt="Craft code like a pro! 🖥️"),
|
27 |
+
"StepSage": ReactCodeAgent(tools=tools, system_prompt="Step-by-step wisdom! 🧠"),
|
28 |
+
"JsonJugger": ReactJsonAgent(tools=tools, system_prompt="JSON-powered antics! 🤡"),
|
29 |
+
"OutlineOracle": ReactCodeAgent(tools=tools, system_prompt="Outline everything! 📋"),
|
30 |
+
"ToolTitan": CodeAgent(tools=tools, system_prompt="List tools with swagger! 🔧"),
|
31 |
+
"SpecSpinner": ReactJsonAgent(tools=tools, system_prompt="Spin specs with style! 📜"),
|
32 |
+
"ImageImp": CodeAgent(tools=tools, system_prompt="Dream up image prompts! 🎨"),
|
33 |
+
"VisualVortex": ReactCodeAgent(tools=tools, system_prompt="Generate visuals! 🖼️"),
|
34 |
+
"GlossGuru": ReactJsonAgent(tools=tools, system_prompt="Define terms with pizzazz! 📖"),
|
35 |
+
}
|
36 |
+
|
37 |
+
# MoE Prompts mapped to agents
|
38 |
+
moe_prompts = {
|
39 |
+
"Create a python streamlit app.py...": "CodeCrafter",
|
40 |
+
"Create a python gradio app.py...": "CodeCrafter",
|
41 |
+
"Create a mermaid model...": "OutlineOracle",
|
42 |
+
"Create a top three list of tools...": "ToolTitan",
|
43 |
+
"Create a specification in markdown...": "SpecSpinner",
|
44 |
+
"Create an image generation prompt...": "ImageImp",
|
45 |
+
"Generate an image which describes...": "VisualVortex",
|
46 |
+
"List top ten glossary terms...": "GlossGuru",
|
47 |
+
"": "StepSage" # Default agent for blank selection
|
48 |
+
}
|
49 |
+
|
50 |
+
# Session state
|
51 |
if 'selected_file' not in st.session_state:
|
52 |
st.session_state.selected_file = None
|
53 |
if 'view_mode' not in st.session_state:
|
|
|
55 |
if 'files' not in st.session_state:
|
56 |
st.session_state.files = []
|
57 |
|
58 |
+
# MoE Selection
|
59 |
+
moe_options = list(moe_prompts.keys())
|
60 |
+
selected_moe = st.selectbox("Pick an MoE Adventure! 🎲", moe_options, index=0, key="selected_moe")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
61 |
|
62 |
+
# Utility Functions (simplified for brevity, reusing yours where unchanged)
|
63 |
def sanitize_filename(text):
|
64 |
+
return re.sub(r'[^\w\s-]', ' ', text.strip())[:50]
|
|
|
|
|
|
|
|
|
65 |
|
66 |
def generate_timestamp_filename(query):
|
|
|
67 |
central = pytz.timezone('US/Central')
|
68 |
+
now = datetime.now(central)
|
69 |
+
return f"{now.strftime('%I%M%p %m%d%Y')} ({sanitize_filename(query)}).md"
|
|
|
|
|
|
|
|
|
70 |
|
71 |
+
def save_ai_interaction(query, result, is_rerun=False):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
72 |
filename = generate_timestamp_filename(query)
|
73 |
+
content = f"# {'Rerun' if is_rerun else 'Query'}: {query}\n\n## AI Response\n{result}"
|
74 |
+
with open(filename, 'w', encoding='utf-8') as f:
|
75 |
+
f.write(content)
|
76 |
+
return filename
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
77 |
|
78 |
+
def run_agent(task, agent_name):
|
79 |
+
agent = agents[agent_name]
|
80 |
+
if isinstance(agent, CodeAgent):
|
81 |
+
return agent.run(task, return_generated_code=True)
|
82 |
+
return agent.run(task)
|
83 |
|
84 |
+
# Main App
|
85 |
def main():
|
86 |
+
st.markdown("### 🌳 AI Knowledge Tree Builder 🧠🌱 Let’s Grow Some Smarts!")
|
87 |
+
query = st.text_input("Ask Away! 🤔", placeholder="E.g., 'Explain transformers!'")
|
|
|
|
|
88 |
|
89 |
if query:
|
90 |
+
agent_name = moe_prompts[selected_moe]
|
|
|
91 |
try:
|
92 |
+
result = run_agent(f"{selected_moe} {query}" if selected_moe else query, agent_name)
|
93 |
+
st.markdown(f"🎉 {agent_name} says: {result}")
|
94 |
+
saved_file = save_ai_interaction(query, result)
|
95 |
+
st.success(f"Saved to {saved_file}")
|
96 |
+
st.session_state.selected_file = saved_file
|
|
|
97 |
except Exception as e:
|
98 |
+
st.error(f"😱 Oops! {e}")
|
99 |
+
|
100 |
+
# File Management (simplified)
|
101 |
+
st.sidebar.title("📁 Files")
|
102 |
+
md_files = sorted([f for f in glob.glob("*.md") if f.lower() != 'readme.md'])
|
103 |
+
for file in md_files:
|
104 |
+
st.sidebar.write(file)
|
105 |
+
if st.sidebar.button(f"View {file}", key=f"v_{file}"):
|
106 |
+
st.session_state.selected_file = file
|
107 |
if st.session_state.selected_file:
|
108 |
+
with open(st.session_state.selected_file, 'r') as f:
|
109 |
+
st.markdown(f.read())
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
110 |
|
111 |
if __name__ == "__main__":
|
112 |
+
main()
|