Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -21,7 +21,9 @@ import asyncio
|
|
21 |
import edge_tts
|
22 |
from streamlit_marquee import streamlit_marquee
|
23 |
|
24 |
-
#
|
|
|
|
|
25 |
st.set_page_config(
|
26 |
page_title="π²TalkingAIResearcherπ",
|
27 |
page_icon="π²π",
|
@@ -35,7 +37,7 @@ st.set_page_config(
|
|
35 |
)
|
36 |
load_dotenv()
|
37 |
|
38 |
-
#
|
39 |
EDGE_TTS_VOICES = [
|
40 |
"en-US-AriaNeural",
|
41 |
"en-US-GuyNeural",
|
@@ -48,7 +50,7 @@ EDGE_TTS_VOICES = [
|
|
48 |
"en-CA-LiamNeural"
|
49 |
]
|
50 |
|
51 |
-
#
|
52 |
if 'marquee_settings' not in st.session_state:
|
53 |
st.session_state['marquee_settings'] = {
|
54 |
"background": "#1E1E1E",
|
@@ -61,35 +63,50 @@ if 'marquee_settings' not in st.session_state:
|
|
61 |
|
62 |
if 'tts_voice' not in st.session_state:
|
63 |
st.session_state['tts_voice'] = EDGE_TTS_VOICES[0]
|
|
|
64 |
if 'audio_format' not in st.session_state:
|
65 |
st.session_state['audio_format'] = 'mp3'
|
|
|
66 |
if 'transcript_history' not in st.session_state:
|
67 |
st.session_state['transcript_history'] = []
|
|
|
68 |
if 'chat_history' not in st.session_state:
|
69 |
st.session_state['chat_history'] = []
|
|
|
70 |
if 'openai_model' not in st.session_state:
|
71 |
st.session_state['openai_model'] = "gpt-4o-2024-05-13"
|
|
|
72 |
if 'messages' not in st.session_state:
|
73 |
st.session_state['messages'] = []
|
|
|
74 |
if 'last_voice_input' not in st.session_state:
|
75 |
st.session_state['last_voice_input'] = ""
|
|
|
76 |
if 'editing_file' not in st.session_state:
|
77 |
st.session_state['editing_file'] = None
|
|
|
78 |
if 'edit_new_name' not in st.session_state:
|
79 |
st.session_state['edit_new_name'] = ""
|
|
|
80 |
if 'edit_new_content' not in st.session_state:
|
81 |
st.session_state['edit_new_content'] = ""
|
|
|
82 |
if 'viewing_prefix' not in st.session_state:
|
83 |
st.session_state['viewing_prefix'] = None
|
|
|
84 |
if 'should_rerun' not in st.session_state:
|
85 |
st.session_state['should_rerun'] = False
|
|
|
86 |
if 'old_val' not in st.session_state:
|
87 |
st.session_state['old_val'] = None
|
|
|
88 |
if 'last_query' not in st.session_state:
|
89 |
st.session_state['last_query'] = ""
|
|
|
90 |
if 'marquee_content' not in st.session_state:
|
91 |
st.session_state['marquee_content'] = "π Welcome to TalkingAIResearcher | π€ Your Research Assistant"
|
92 |
|
|
|
93 |
openai_api_key = os.getenv('OPENAI_API_KEY', "")
|
94 |
anthropic_key = os.getenv('ANTHROPIC_API_KEY_3', "")
|
95 |
xai_key = os.getenv('xai',"")
|
@@ -103,17 +120,24 @@ openai_client = OpenAI(api_key=openai.api_key, organization=os.getenv('OPENAI_OR
|
|
103 |
HF_KEY = os.getenv('HF_KEY')
|
104 |
API_URL = os.getenv('API_URL')
|
105 |
|
|
|
106 |
FILE_EMOJIS = {
|
107 |
"md": "π",
|
108 |
"mp3": "π΅",
|
109 |
"wav": "π"
|
110 |
}
|
111 |
|
|
|
|
|
|
|
|
|
112 |
def get_central_time():
|
|
|
113 |
central = pytz.timezone('US/Central')
|
114 |
return datetime.now(central)
|
115 |
|
116 |
def format_timestamp_prefix():
|
|
|
117 |
ct = get_central_time()
|
118 |
return ct.strftime("%m_%d_%y_%I_%M_%p")
|
119 |
|
@@ -133,6 +157,7 @@ def get_marquee_settings():
|
|
133 |
return st.session_state['marquee_settings']
|
134 |
|
135 |
def update_marquee_settings_ui():
|
|
|
136 |
st.sidebar.markdown("### π― Marquee Settings")
|
137 |
cols = st.sidebar.columns(2)
|
138 |
with cols[0]:
|
@@ -154,6 +179,7 @@ def update_marquee_settings_ui():
|
|
154 |
})
|
155 |
|
156 |
def display_marquee(text, settings, key_suffix=""):
|
|
|
157 |
truncated_text = text[:280] + "..." if len(text) > 280 else text
|
158 |
streamlit_marquee(
|
159 |
content=truncated_text,
|
@@ -163,6 +189,7 @@ def display_marquee(text, settings, key_suffix=""):
|
|
163 |
st.write("")
|
164 |
|
165 |
def get_high_info_terms(text: str, top_n=10) -> list:
|
|
|
166 |
stop_words = set(['the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with'])
|
167 |
words = re.findall(r'\b\w+(?:-\w+)*\b', text.lower())
|
168 |
bi_grams = [' '.join(pair) for pair in zip(words, words[1:])]
|
@@ -172,6 +199,7 @@ def get_high_info_terms(text: str, top_n=10) -> list:
|
|
172 |
return [term for term, freq in counter.most_common(top_n)]
|
173 |
|
174 |
def clean_text_for_filename(text: str) -> str:
|
|
|
175 |
text = text.lower()
|
176 |
text = re.sub(r'[^\w\s-]', '', text)
|
177 |
words = text.split()
|
@@ -181,11 +209,19 @@ def clean_text_for_filename(text: str) -> str:
|
|
181 |
return '_'.join(filtered)[:200]
|
182 |
|
183 |
def generate_filename(prompt, response, file_type="md", max_length=200):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
184 |
prefix = format_timestamp_prefix() + "_"
|
185 |
combined_text = (prompt + " " + response)[:200]
|
186 |
info_terms = get_high_info_terms(combined_text, top_n=5)
|
187 |
snippet = (prompt[:40] + " " + response[:40]).strip()
|
188 |
snippet_cleaned = clean_text_for_filename(snippet)
|
|
|
189 |
# remove duplicates
|
190 |
name_parts = info_terms + [snippet_cleaned]
|
191 |
seen = set()
|
@@ -194,8 +230,8 @@ def generate_filename(prompt, response, file_type="md", max_length=200):
|
|
194 |
if part not in seen:
|
195 |
seen.add(part)
|
196 |
unique_parts.append(part)
|
197 |
-
full_name = '_'.join(unique_parts).strip('_')
|
198 |
|
|
|
199 |
leftover_chars = max_length - len(prefix) - len(file_type) - 1
|
200 |
if len(full_name) > leftover_chars:
|
201 |
full_name = full_name[:leftover_chars]
|
@@ -203,12 +239,16 @@ def generate_filename(prompt, response, file_type="md", max_length=200):
|
|
203 |
return f"{prefix}{full_name}.{file_type}"
|
204 |
|
205 |
def create_file(prompt, response, file_type="md"):
|
|
|
206 |
filename = generate_filename(prompt.strip(), response.strip(), file_type)
|
207 |
with open(filename, 'w', encoding='utf-8') as f:
|
208 |
f.write(prompt + "\n\n" + response)
|
209 |
return filename
|
210 |
|
211 |
def get_download_link(file, file_type="zip"):
|
|
|
|
|
|
|
212 |
with open(file, "rb") as f:
|
213 |
b64 = base64.b64encode(f.read()).decode()
|
214 |
if file_type == "zip":
|
@@ -223,6 +263,7 @@ def get_download_link(file, file_type="zip"):
|
|
223 |
return f'<a href="data:application/octet-stream;base64,{b64}" download="{os.path.basename(file)}">Download {os.path.basename(file)}</a>'
|
224 |
|
225 |
def clean_for_speech(text: str) -> str:
|
|
|
226 |
text = text.replace("\n", " ")
|
227 |
text = text.replace("</s>", " ")
|
228 |
text = text.replace("#", "")
|
@@ -231,6 +272,7 @@ def clean_for_speech(text: str) -> str:
|
|
231 |
return text
|
232 |
|
233 |
async def edge_tts_generate_audio(text, voice="en-US-AriaNeural", rate=0, pitch=0, file_format="mp3"):
|
|
|
234 |
text = clean_for_speech(text)
|
235 |
if not text.strip():
|
236 |
return None
|
@@ -242,17 +284,21 @@ async def edge_tts_generate_audio(text, voice="en-US-AriaNeural", rate=0, pitch=
|
|
242 |
return out_fn
|
243 |
|
244 |
def speak_with_edge_tts(text, voice="en-US-AriaNeural", rate=0, pitch=0, file_format="mp3"):
|
|
|
245 |
return asyncio.run(edge_tts_generate_audio(text, voice, rate, pitch, file_format))
|
246 |
|
247 |
def play_and_download_audio(file_path, file_type="mp3"):
|
|
|
248 |
if file_path and os.path.exists(file_path):
|
249 |
st.audio(file_path)
|
250 |
dl_link = get_download_link(file_path, file_type=file_type)
|
251 |
st.markdown(dl_link, unsafe_allow_html=True)
|
252 |
|
253 |
def save_qa_with_audio(question, answer, voice=None):
|
|
|
254 |
if not voice:
|
255 |
voice = st.session_state['tts_voice']
|
|
|
256 |
combined_text = f"# Question\n{question}\n\n# Answer\n{answer}"
|
257 |
md_file = create_file(question, answer, "md")
|
258 |
audio_text = f"{question}\n\nAnswer: {answer}"
|
@@ -263,7 +309,15 @@ def save_qa_with_audio(question, answer, voice=None):
|
|
263 |
)
|
264 |
return md_file, audio_file
|
265 |
|
|
|
|
|
|
|
|
|
266 |
def parse_arxiv_refs(ref_text: str):
|
|
|
|
|
|
|
|
|
267 |
if not ref_text:
|
268 |
return []
|
269 |
|
@@ -273,6 +327,7 @@ def parse_arxiv_refs(ref_text: str):
|
|
273 |
|
274 |
for i, line in enumerate(lines):
|
275 |
if line.count('|') == 2:
|
|
|
276 |
if current_paper:
|
277 |
results.append(current_paper)
|
278 |
if len(results) >= 20:
|
@@ -283,6 +338,7 @@ def parse_arxiv_refs(ref_text: str):
|
|
283 |
title = header_parts[1].strip()
|
284 |
url_match = re.search(r'(https://arxiv.org/\S+)', line)
|
285 |
url = url_match.group(1) if url_match else f"paper_{len(results)}"
|
|
|
286 |
current_paper = {
|
287 |
'date': date,
|
288 |
'title': title,
|
@@ -296,7 +352,9 @@ def parse_arxiv_refs(ref_text: str):
|
|
296 |
st.warning(f"Error parsing paper header: {str(e)}")
|
297 |
current_paper = {}
|
298 |
continue
|
|
|
299 |
elif current_paper:
|
|
|
300 |
if not current_paper['authors']:
|
301 |
current_paper['authors'] = line.strip('* ')
|
302 |
else:
|
@@ -304,23 +362,28 @@ def parse_arxiv_refs(ref_text: str):
|
|
304 |
current_paper['summary'] += ' ' + line.strip()
|
305 |
else:
|
306 |
current_paper['summary'] = line.strip()
|
|
|
307 |
if current_paper:
|
308 |
results.append(current_paper)
|
309 |
|
310 |
return results[:20]
|
311 |
|
312 |
def create_paper_links_md(papers):
|
|
|
313 |
lines = ["# Paper Links\n"]
|
314 |
for i, p in enumerate(papers, start=1):
|
315 |
lines.append(f"{i}. **{p['title']}** β [Arxiv]({p['url']})")
|
316 |
return "\n".join(lines)
|
317 |
|
318 |
def create_paper_audio_files(papers, input_question):
|
|
|
|
|
|
|
|
|
319 |
for paper in papers:
|
320 |
try:
|
321 |
audio_text = f"{paper['title']} by {paper['authors']}. {paper['summary']}"
|
322 |
audio_text = clean_for_speech(audio_text)
|
323 |
-
|
324 |
file_format = st.session_state['audio_format']
|
325 |
audio_file = speak_with_edge_tts(
|
326 |
audio_text,
|
@@ -345,13 +408,14 @@ def create_paper_audio_files(papers, input_question):
|
|
345 |
paper['download_base64'] = ''
|
346 |
|
347 |
def display_papers(papers, marquee_settings):
|
|
|
348 |
st.write("## Research Papers")
|
349 |
for i, paper in enumerate(papers, start=1):
|
350 |
marquee_text = f"π {paper['title']} | π€ {paper['authors'][:120]} | π {paper['summary'][:200]}"
|
351 |
display_marquee(marquee_text, marquee_settings, key_suffix=f"paper_{i}")
|
352 |
|
353 |
with st.expander(f"{i}. π {paper['title']}", expanded=True):
|
354 |
-
st.markdown(f"**{paper['date']} | {paper['title']}
|
355 |
st.markdown(f"*Authors:* {paper['authors']}")
|
356 |
st.markdown(paper['summary'])
|
357 |
if paper.get('full_audio'):
|
@@ -361,6 +425,7 @@ def display_papers(papers, marquee_settings):
|
|
361 |
st.markdown(paper['download_base64'], unsafe_allow_html=True)
|
362 |
|
363 |
def display_papers_in_sidebar(papers):
|
|
|
364 |
st.sidebar.title("πΆ Papers & Audio")
|
365 |
for i, paper in enumerate(papers, start=1):
|
366 |
with st.sidebar.expander(f"{i}. {paper['title']}"):
|
@@ -373,7 +438,15 @@ def display_papers_in_sidebar(papers):
|
|
373 |
if paper['summary']:
|
374 |
st.markdown(f"**Summary:** {paper['summary'][:300]}...")
|
375 |
|
|
|
|
|
|
|
|
|
376 |
def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
|
|
|
|
|
|
|
|
|
377 |
md_files = [f for f in md_files if os.path.basename(f).lower() != 'readme.md']
|
378 |
all_files = md_files + mp3_files + wav_files
|
379 |
if not all_files:
|
@@ -402,13 +475,19 @@ def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
|
|
402 |
z.write(f)
|
403 |
return short_zip_name
|
404 |
|
|
|
|
|
|
|
|
|
405 |
def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
|
406 |
titles_summary=True, full_audio=False):
|
|
|
407 |
start = time.time()
|
408 |
ai_constitution = """
|
409 |
You are a talented AI coder and songwriter...
|
410 |
"""
|
411 |
-
|
|
|
412 |
client = anthropic.Anthropic(api_key=anthropic_key)
|
413 |
user_input = q
|
414 |
response = client.messages.create(
|
@@ -420,33 +499,45 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
|
|
420 |
st.write("Claude's reply π§ :")
|
421 |
st.markdown(response.content[0].text)
|
422 |
|
|
|
423 |
result = response.content[0].text
|
424 |
create_file(q, result)
|
425 |
md_file, audio_file = save_qa_with_audio(q, result)
|
426 |
st.subheader("π Main Response Audio")
|
427 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
428 |
|
429 |
-
# Arxiv
|
430 |
-
st.write("Arxiv's AI this Evening...")
|
431 |
-
from gradio_client import Client
|
432 |
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
|
433 |
-
refs = client.predict(
|
434 |
-
|
435 |
-
|
436 |
-
|
437 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
438 |
|
439 |
result = f"### π {q}\n\n{r2}\n\n{refs}"
|
440 |
md_file, audio_file = save_qa_with_audio(q, result)
|
441 |
st.subheader("π Main Response Audio")
|
442 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
443 |
|
|
|
444 |
papers = parse_arxiv_refs(refs)
|
445 |
if papers:
|
|
|
446 |
paper_links = create_paper_links_md(papers)
|
447 |
links_file = create_file(q, paper_links, "md")
|
448 |
st.markdown(paper_links)
|
449 |
|
|
|
450 |
create_paper_audio_files(papers, input_question=q)
|
451 |
display_papers(papers, get_marquee_settings())
|
452 |
display_papers_in_sidebar(papers)
|
@@ -458,6 +549,7 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
|
|
458 |
return result
|
459 |
|
460 |
def process_voice_input(text):
|
|
|
461 |
if not text:
|
462 |
return
|
463 |
st.subheader("π Search Results")
|
@@ -474,8 +566,10 @@ def process_voice_input(text):
|
|
474 |
st.write(f"Audio: {audio_file}")
|
475 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
476 |
|
477 |
-
#
|
478 |
-
#
|
|
|
|
|
479 |
def display_file_history_in_sidebar():
|
480 |
"""
|
481 |
Shows a history of each local .md, .mp3, .wav file in descending
|
@@ -484,7 +578,7 @@ def display_file_history_in_sidebar():
|
|
484 |
st.sidebar.markdown("---")
|
485 |
st.sidebar.markdown("### π File History")
|
486 |
|
487 |
-
# Gather all files
|
488 |
md_files = glob.glob("*.md")
|
489 |
mp3_files = glob.glob("*.mp3")
|
490 |
wav_files = glob.glob("*.wav")
|
@@ -494,7 +588,7 @@ def display_file_history_in_sidebar():
|
|
494 |
st.sidebar.write("No files found.")
|
495 |
return
|
496 |
|
497 |
-
# Sort
|
498 |
all_files = sorted(all_files, key=os.path.getmtime, reverse=True)
|
499 |
|
500 |
for f in all_files:
|
@@ -505,7 +599,6 @@ def display_file_history_in_sidebar():
|
|
505 |
|
506 |
with st.sidebar.expander(f"{emoji} {fname}"):
|
507 |
st.write(f"**Modified:** {time_str}")
|
508 |
-
# Optionally show a snippet for .md:
|
509 |
if ext == "md":
|
510 |
with open(f, "r", encoding="utf-8") as file_in:
|
511 |
snippet = file_in.read(200).replace("\n", " ")
|
@@ -513,26 +606,31 @@ def display_file_history_in_sidebar():
|
|
513 |
snippet += "..."
|
514 |
st.write(snippet)
|
515 |
st.markdown(get_download_link(f, file_type="md"), unsafe_allow_html=True)
|
516 |
-
# If it's audio, let user play it
|
517 |
elif ext in ["mp3","wav"]:
|
518 |
st.audio(f)
|
519 |
st.markdown(get_download_link(f, file_type=ext), unsafe_allow_html=True)
|
520 |
else:
|
521 |
st.markdown(get_download_link(f), unsafe_allow_html=True)
|
522 |
|
523 |
-
#
|
|
|
|
|
524 |
|
525 |
def main():
|
|
|
526 |
update_marquee_settings_ui()
|
527 |
marquee_settings = get_marquee_settings()
|
|
|
|
|
528 |
display_marquee(st.session_state['marquee_content'],
|
529 |
{**marquee_settings, "font-size": "28px", "lineHeight": "50px"},
|
530 |
key_suffix="welcome")
|
531 |
|
532 |
-
#
|
533 |
tab_main = st.radio("Action:", ["π€ Voice", "πΈ Media", "π ArXiv", "π Editor"],
|
534 |
horizontal=True)
|
535 |
|
|
|
536 |
mycomponent = components.declare_component("mycomponent", path="mycomponent")
|
537 |
val = mycomponent(my_input_value="Hello")
|
538 |
|
@@ -566,9 +664,13 @@ def main():
|
|
566 |
titles_summary=True,
|
567 |
full_audio=full_audio)
|
568 |
|
|
|
|
|
|
|
569 |
if tab_main == "π ArXiv":
|
570 |
st.subheader("π Query ArXiv")
|
571 |
q = st.text_input("π Query:", key="arxiv_query")
|
|
|
572 |
st.markdown("### π Options")
|
573 |
vocal_summary = st.checkbox("πShortAudio", value=True, key="option_vocal_summary")
|
574 |
extended_refs = st.checkbox("πLongRefs", value=False, key="option_extended_refs")
|
@@ -583,14 +685,19 @@ def main():
|
|
583 |
if full_transcript:
|
584 |
create_file(q, result, "md")
|
585 |
|
|
|
|
|
|
|
586 |
elif tab_main == "π€ Voice":
|
587 |
st.subheader("π€ Voice Input")
|
|
|
588 |
st.markdown("### π€ Voice Settings")
|
589 |
selected_voice = st.selectbox(
|
590 |
"Select TTS Voice:",
|
591 |
options=EDGE_TTS_VOICES,
|
592 |
index=EDGE_TTS_VOICES.index(st.session_state['tts_voice'])
|
593 |
)
|
|
|
594 |
st.markdown("### π Audio Format")
|
595 |
selected_format = st.radio(
|
596 |
"Choose Audio Format:",
|
@@ -598,6 +705,7 @@ def main():
|
|
598 |
index=0
|
599 |
)
|
600 |
|
|
|
601 |
if selected_voice != st.session_state['tts_voice']:
|
602 |
st.session_state['tts_voice'] = selected_voice
|
603 |
st.rerun()
|
@@ -605,6 +713,7 @@ def main():
|
|
605 |
st.session_state['audio_format'] = selected_format.lower()
|
606 |
st.rerun()
|
607 |
|
|
|
608 |
user_text = st.text_area("π¬ Message:", height=100)
|
609 |
user_text = user_text.strip().replace('\n', ' ')
|
610 |
|
@@ -616,9 +725,16 @@ def main():
|
|
616 |
st.write("**You:**", c["user"])
|
617 |
st.write("**Response:**", c["claude"])
|
618 |
|
|
|
|
|
|
|
619 |
elif tab_main == "πΈ Media":
|
620 |
st.header("πΈ Media Gallery")
|
621 |
-
|
|
|
|
|
|
|
|
|
622 |
with tabs[0]:
|
623 |
st.subheader("π΅ Audio Files")
|
624 |
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
|
@@ -631,6 +747,8 @@ def main():
|
|
631 |
st.markdown(dl_link, unsafe_allow_html=True)
|
632 |
else:
|
633 |
st.write("No audio files found.")
|
|
|
|
|
634 |
with tabs[1]:
|
635 |
st.subheader("πΌ Image Files")
|
636 |
imgs = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
|
@@ -642,6 +760,8 @@ def main():
|
|
642 |
st.image(Image.open(f), use_container_width=True)
|
643 |
else:
|
644 |
st.write("No images found.")
|
|
|
|
|
645 |
with tabs[2]:
|
646 |
st.subheader("π₯ Video Files")
|
647 |
vids = glob.glob("*.mp4") + glob.glob("*.mov") + glob.glob("*.avi")
|
@@ -652,12 +772,18 @@ def main():
|
|
652 |
else:
|
653 |
st.write("No videos found.")
|
654 |
|
|
|
|
|
|
|
655 |
elif tab_main == "π Editor":
|
656 |
-
st.write("Select or create a file to edit. (Currently minimal)")
|
657 |
|
658 |
-
#
|
|
|
|
|
659 |
display_file_history_in_sidebar()
|
660 |
|
|
|
661 |
st.markdown("""
|
662 |
<style>
|
663 |
.main { background: linear-gradient(to right, #1a1a1a, #2d2d2d); color: #fff; }
|
@@ -666,6 +792,7 @@ def main():
|
|
666 |
</style>
|
667 |
""", unsafe_allow_html=True)
|
668 |
|
|
|
669 |
if st.session_state.should_rerun:
|
670 |
st.session_state.should_rerun = False
|
671 |
st.rerun()
|
|
|
21 |
import edge_tts
|
22 |
from streamlit_marquee import streamlit_marquee
|
23 |
|
24 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
25 |
+
# 1. CORE CONFIGURATION & SETUP
|
26 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
27 |
st.set_page_config(
|
28 |
page_title="π²TalkingAIResearcherπ",
|
29 |
page_icon="π²π",
|
|
|
37 |
)
|
38 |
load_dotenv()
|
39 |
|
40 |
+
# Available English voices for Edge TTS
|
41 |
EDGE_TTS_VOICES = [
|
42 |
"en-US-AriaNeural",
|
43 |
"en-US-GuyNeural",
|
|
|
50 |
"en-CA-LiamNeural"
|
51 |
]
|
52 |
|
53 |
+
# Session state variables
|
54 |
if 'marquee_settings' not in st.session_state:
|
55 |
st.session_state['marquee_settings'] = {
|
56 |
"background": "#1E1E1E",
|
|
|
63 |
|
64 |
if 'tts_voice' not in st.session_state:
|
65 |
st.session_state['tts_voice'] = EDGE_TTS_VOICES[0]
|
66 |
+
|
67 |
if 'audio_format' not in st.session_state:
|
68 |
st.session_state['audio_format'] = 'mp3'
|
69 |
+
|
70 |
if 'transcript_history' not in st.session_state:
|
71 |
st.session_state['transcript_history'] = []
|
72 |
+
|
73 |
if 'chat_history' not in st.session_state:
|
74 |
st.session_state['chat_history'] = []
|
75 |
+
|
76 |
if 'openai_model' not in st.session_state:
|
77 |
st.session_state['openai_model'] = "gpt-4o-2024-05-13"
|
78 |
+
|
79 |
if 'messages' not in st.session_state:
|
80 |
st.session_state['messages'] = []
|
81 |
+
|
82 |
if 'last_voice_input' not in st.session_state:
|
83 |
st.session_state['last_voice_input'] = ""
|
84 |
+
|
85 |
if 'editing_file' not in st.session_state:
|
86 |
st.session_state['editing_file'] = None
|
87 |
+
|
88 |
if 'edit_new_name' not in st.session_state:
|
89 |
st.session_state['edit_new_name'] = ""
|
90 |
+
|
91 |
if 'edit_new_content' not in st.session_state:
|
92 |
st.session_state['edit_new_content'] = ""
|
93 |
+
|
94 |
if 'viewing_prefix' not in st.session_state:
|
95 |
st.session_state['viewing_prefix'] = None
|
96 |
+
|
97 |
if 'should_rerun' not in st.session_state:
|
98 |
st.session_state['should_rerun'] = False
|
99 |
+
|
100 |
if 'old_val' not in st.session_state:
|
101 |
st.session_state['old_val'] = None
|
102 |
+
|
103 |
if 'last_query' not in st.session_state:
|
104 |
st.session_state['last_query'] = ""
|
105 |
+
|
106 |
if 'marquee_content' not in st.session_state:
|
107 |
st.session_state['marquee_content'] = "π Welcome to TalkingAIResearcher | π€ Your Research Assistant"
|
108 |
|
109 |
+
# API Keys
|
110 |
openai_api_key = os.getenv('OPENAI_API_KEY', "")
|
111 |
anthropic_key = os.getenv('ANTHROPIC_API_KEY_3', "")
|
112 |
xai_key = os.getenv('xai',"")
|
|
|
120 |
HF_KEY = os.getenv('HF_KEY')
|
121 |
API_URL = os.getenv('API_URL')
|
122 |
|
123 |
+
# Helper constants
|
124 |
FILE_EMOJIS = {
|
125 |
"md": "π",
|
126 |
"mp3": "π΅",
|
127 |
"wav": "π"
|
128 |
}
|
129 |
|
130 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
131 |
+
# 2. HELPER FUNCTIONS
|
132 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
133 |
+
|
134 |
def get_central_time():
|
135 |
+
"""Get current time in US Central timezone."""
|
136 |
central = pytz.timezone('US/Central')
|
137 |
return datetime.now(central)
|
138 |
|
139 |
def format_timestamp_prefix():
|
140 |
+
"""Generate timestamp prefix in format MM_dd_yy_hh_mm_AM/PM."""
|
141 |
ct = get_central_time()
|
142 |
return ct.strftime("%m_%d_%y_%I_%M_%p")
|
143 |
|
|
|
157 |
return st.session_state['marquee_settings']
|
158 |
|
159 |
def update_marquee_settings_ui():
|
160 |
+
"""Add color pickers & sliders for marquee config in sidebar."""
|
161 |
st.sidebar.markdown("### π― Marquee Settings")
|
162 |
cols = st.sidebar.columns(2)
|
163 |
with cols[0]:
|
|
|
179 |
})
|
180 |
|
181 |
def display_marquee(text, settings, key_suffix=""):
|
182 |
+
"""Show marquee text with style from settings."""
|
183 |
truncated_text = text[:280] + "..." if len(text) > 280 else text
|
184 |
streamlit_marquee(
|
185 |
content=truncated_text,
|
|
|
189 |
st.write("")
|
190 |
|
191 |
def get_high_info_terms(text: str, top_n=10) -> list:
|
192 |
+
"""Extract top_n freq words or bigrams (excluding stopwords)."""
|
193 |
stop_words = set(['the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with'])
|
194 |
words = re.findall(r'\b\w+(?:-\w+)*\b', text.lower())
|
195 |
bi_grams = [' '.join(pair) for pair in zip(words, words[1:])]
|
|
|
199 |
return [term for term, freq in counter.most_common(top_n)]
|
200 |
|
201 |
def clean_text_for_filename(text: str) -> str:
|
202 |
+
"""Remove special chars, short words, etc. for filenames."""
|
203 |
text = text.lower()
|
204 |
text = re.sub(r'[^\w\s-]', '', text)
|
205 |
words = text.split()
|
|
|
209 |
return '_'.join(filtered)[:200]
|
210 |
|
211 |
def generate_filename(prompt, response, file_type="md", max_length=200):
|
212 |
+
"""
|
213 |
+
Generate a shortened filename by:
|
214 |
+
1) extracting high-info terms,
|
215 |
+
2) snippet from prompt+response,
|
216 |
+
3) remove duplicates,
|
217 |
+
4) truncate if needed.
|
218 |
+
"""
|
219 |
prefix = format_timestamp_prefix() + "_"
|
220 |
combined_text = (prompt + " " + response)[:200]
|
221 |
info_terms = get_high_info_terms(combined_text, top_n=5)
|
222 |
snippet = (prompt[:40] + " " + response[:40]).strip()
|
223 |
snippet_cleaned = clean_text_for_filename(snippet)
|
224 |
+
|
225 |
# remove duplicates
|
226 |
name_parts = info_terms + [snippet_cleaned]
|
227 |
seen = set()
|
|
|
230 |
if part not in seen:
|
231 |
seen.add(part)
|
232 |
unique_parts.append(part)
|
|
|
233 |
|
234 |
+
full_name = '_'.join(unique_parts).strip('_')
|
235 |
leftover_chars = max_length - len(prefix) - len(file_type) - 1
|
236 |
if len(full_name) > leftover_chars:
|
237 |
full_name = full_name[:leftover_chars]
|
|
|
239 |
return f"{prefix}{full_name}.{file_type}"
|
240 |
|
241 |
def create_file(prompt, response, file_type="md"):
|
242 |
+
"""Create a text file from prompt + response with sanitized filename."""
|
243 |
filename = generate_filename(prompt.strip(), response.strip(), file_type)
|
244 |
with open(filename, 'w', encoding='utf-8') as f:
|
245 |
f.write(prompt + "\n\n" + response)
|
246 |
return filename
|
247 |
|
248 |
def get_download_link(file, file_type="zip"):
|
249 |
+
"""
|
250 |
+
Convert a file to base64 and return an HTML link for download.
|
251 |
+
"""
|
252 |
with open(file, "rb") as f:
|
253 |
b64 = base64.b64encode(f.read()).decode()
|
254 |
if file_type == "zip":
|
|
|
263 |
return f'<a href="data:application/octet-stream;base64,{b64}" download="{os.path.basename(file)}">Download {os.path.basename(file)}</a>'
|
264 |
|
265 |
def clean_for_speech(text: str) -> str:
|
266 |
+
"""Clean up text for TTS output."""
|
267 |
text = text.replace("\n", " ")
|
268 |
text = text.replace("</s>", " ")
|
269 |
text = text.replace("#", "")
|
|
|
272 |
return text
|
273 |
|
274 |
async def edge_tts_generate_audio(text, voice="en-US-AriaNeural", rate=0, pitch=0, file_format="mp3"):
|
275 |
+
"""Async TTS generation with edge-tts library."""
|
276 |
text = clean_for_speech(text)
|
277 |
if not text.strip():
|
278 |
return None
|
|
|
284 |
return out_fn
|
285 |
|
286 |
def speak_with_edge_tts(text, voice="en-US-AriaNeural", rate=0, pitch=0, file_format="mp3"):
|
287 |
+
"""Wrapper for the async TTS generate call."""
|
288 |
return asyncio.run(edge_tts_generate_audio(text, voice, rate, pitch, file_format))
|
289 |
|
290 |
def play_and_download_audio(file_path, file_type="mp3"):
|
291 |
+
"""Streamlit audio + a quick download link."""
|
292 |
if file_path and os.path.exists(file_path):
|
293 |
st.audio(file_path)
|
294 |
dl_link = get_download_link(file_path, file_type=file_type)
|
295 |
st.markdown(dl_link, unsafe_allow_html=True)
|
296 |
|
297 |
def save_qa_with_audio(question, answer, voice=None):
|
298 |
+
"""Save Q&A to markdown and also generate audio."""
|
299 |
if not voice:
|
300 |
voice = st.session_state['tts_voice']
|
301 |
+
|
302 |
combined_text = f"# Question\n{question}\n\n# Answer\n{answer}"
|
303 |
md_file = create_file(question, answer, "md")
|
304 |
audio_text = f"{question}\n\nAnswer: {answer}"
|
|
|
309 |
)
|
310 |
return md_file, audio_file
|
311 |
|
312 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
313 |
+
# 3. PAPER PARSING & DISPLAY
|
314 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
315 |
+
|
316 |
def parse_arxiv_refs(ref_text: str):
|
317 |
+
"""
|
318 |
+
Given a multi-line markdown with arxiv references, parse them into
|
319 |
+
a list of dicts: {date, title, url, authors, summary, ...}.
|
320 |
+
"""
|
321 |
if not ref_text:
|
322 |
return []
|
323 |
|
|
|
327 |
|
328 |
for i, line in enumerate(lines):
|
329 |
if line.count('|') == 2:
|
330 |
+
# Found a new paper line
|
331 |
if current_paper:
|
332 |
results.append(current_paper)
|
333 |
if len(results) >= 20:
|
|
|
338 |
title = header_parts[1].strip()
|
339 |
url_match = re.search(r'(https://arxiv.org/\S+)', line)
|
340 |
url = url_match.group(1) if url_match else f"paper_{len(results)}"
|
341 |
+
|
342 |
current_paper = {
|
343 |
'date': date,
|
344 |
'title': title,
|
|
|
352 |
st.warning(f"Error parsing paper header: {str(e)}")
|
353 |
current_paper = {}
|
354 |
continue
|
355 |
+
|
356 |
elif current_paper:
|
357 |
+
# If authors not set, fill it; otherwise, fill summary
|
358 |
if not current_paper['authors']:
|
359 |
current_paper['authors'] = line.strip('* ')
|
360 |
else:
|
|
|
362 |
current_paper['summary'] += ' ' + line.strip()
|
363 |
else:
|
364 |
current_paper['summary'] = line.strip()
|
365 |
+
|
366 |
if current_paper:
|
367 |
results.append(current_paper)
|
368 |
|
369 |
return results[:20]
|
370 |
|
371 |
def create_paper_links_md(papers):
|
372 |
+
"""Creates a minimal .md content linking to each paper's arxiv URL."""
|
373 |
lines = ["# Paper Links\n"]
|
374 |
for i, p in enumerate(papers, start=1):
|
375 |
lines.append(f"{i}. **{p['title']}** β [Arxiv]({p['url']})")
|
376 |
return "\n".join(lines)
|
377 |
|
378 |
def create_paper_audio_files(papers, input_question):
|
379 |
+
"""
|
380 |
+
For each paper, generate TTS audio summary, store the path in `paper['full_audio']`,
|
381 |
+
and also store a base64 link for stable downloading.
|
382 |
+
"""
|
383 |
for paper in papers:
|
384 |
try:
|
385 |
audio_text = f"{paper['title']} by {paper['authors']}. {paper['summary']}"
|
386 |
audio_text = clean_for_speech(audio_text)
|
|
|
387 |
file_format = st.session_state['audio_format']
|
388 |
audio_file = speak_with_edge_tts(
|
389 |
audio_text,
|
|
|
408 |
paper['download_base64'] = ''
|
409 |
|
410 |
def display_papers(papers, marquee_settings):
|
411 |
+
"""Display paper info in the main area with marquee + expanders + audio."""
|
412 |
st.write("## Research Papers")
|
413 |
for i, paper in enumerate(papers, start=1):
|
414 |
marquee_text = f"π {paper['title']} | π€ {paper['authors'][:120]} | π {paper['summary'][:200]}"
|
415 |
display_marquee(marquee_text, marquee_settings, key_suffix=f"paper_{i}")
|
416 |
|
417 |
with st.expander(f"{i}. π {paper['title']}", expanded=True):
|
418 |
+
st.markdown(f"**{paper['date']} | {paper['title']}** β [Arxiv Link]({paper['url']})")
|
419 |
st.markdown(f"*Authors:* {paper['authors']}")
|
420 |
st.markdown(paper['summary'])
|
421 |
if paper.get('full_audio'):
|
|
|
425 |
st.markdown(paper['download_base64'], unsafe_allow_html=True)
|
426 |
|
427 |
def display_papers_in_sidebar(papers):
|
428 |
+
"""Mirrors the paper listing in the sidebar with expanders, audio, etc."""
|
429 |
st.sidebar.title("πΆ Papers & Audio")
|
430 |
for i, paper in enumerate(papers, start=1):
|
431 |
with st.sidebar.expander(f"{i}. {paper['title']}"):
|
|
|
438 |
if paper['summary']:
|
439 |
st.markdown(f"**Summary:** {paper['summary'][:300]}...")
|
440 |
|
441 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
442 |
+
# 4. ZIP FUNCTION
|
443 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
444 |
+
|
445 |
def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
|
446 |
+
"""
|
447 |
+
Zip up all relevant files, limiting the final zip name to ~20 chars
|
448 |
+
to avoid overly long base64 strings.
|
449 |
+
"""
|
450 |
md_files = [f for f in md_files if os.path.basename(f).lower() != 'readme.md']
|
451 |
all_files = md_files + mp3_files + wav_files
|
452 |
if not all_files:
|
|
|
475 |
z.write(f)
|
476 |
return short_zip_name
|
477 |
|
478 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
479 |
+
# 5. MAIN LOGIC: AI LOOKUP & VOICE INPUT
|
480 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
481 |
+
|
482 |
def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
|
483 |
titles_summary=True, full_audio=False):
|
484 |
+
"""Main routine that uses Anthropic (Claude) + Gradio ArXiv RAG pipeline."""
|
485 |
start = time.time()
|
486 |
ai_constitution = """
|
487 |
You are a talented AI coder and songwriter...
|
488 |
"""
|
489 |
+
|
490 |
+
# --- 1) Claude API
|
491 |
client = anthropic.Anthropic(api_key=anthropic_key)
|
492 |
user_input = q
|
493 |
response = client.messages.create(
|
|
|
499 |
st.write("Claude's reply π§ :")
|
500 |
st.markdown(response.content[0].text)
|
501 |
|
502 |
+
# Save & produce audio
|
503 |
result = response.content[0].text
|
504 |
create_file(q, result)
|
505 |
md_file, audio_file = save_qa_with_audio(q, result)
|
506 |
st.subheader("π Main Response Audio")
|
507 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
508 |
|
509 |
+
# --- 2) Arxiv RAG
|
510 |
+
st.write("Arxiv's AI this Evening is Mixtral 8x7B...")
|
|
|
511 |
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
|
512 |
+
refs = client.predict(
|
513 |
+
q,
|
514 |
+
20,
|
515 |
+
"Semantic Search",
|
516 |
+
"mistralai/Mixtral-8x7B-Instruct-v0.1",
|
517 |
+
api_name="/update_with_rag_md"
|
518 |
+
)[0]
|
519 |
+
|
520 |
+
r2 = client.predict(
|
521 |
+
q,
|
522 |
+
"mistralai/Mixtral-8x7B-Instruct-v0.1",
|
523 |
+
True,
|
524 |
+
api_name="/ask_llm"
|
525 |
+
)
|
526 |
|
527 |
result = f"### π {q}\n\n{r2}\n\n{refs}"
|
528 |
md_file, audio_file = save_qa_with_audio(q, result)
|
529 |
st.subheader("π Main Response Audio")
|
530 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
531 |
|
532 |
+
# --- 3) Parse + handle papers
|
533 |
papers = parse_arxiv_refs(refs)
|
534 |
if papers:
|
535 |
+
# Create minimal links page first
|
536 |
paper_links = create_paper_links_md(papers)
|
537 |
links_file = create_file(q, paper_links, "md")
|
538 |
st.markdown(paper_links)
|
539 |
|
540 |
+
# Then create audio for each paper
|
541 |
create_paper_audio_files(papers, input_question=q)
|
542 |
display_papers(papers, get_marquee_settings())
|
543 |
display_papers_in_sidebar(papers)
|
|
|
549 |
return result
|
550 |
|
551 |
def process_voice_input(text):
|
552 |
+
"""When user sends voice query, we run the AI lookup + Q&A with audio."""
|
553 |
if not text:
|
554 |
return
|
555 |
st.subheader("π Search Results")
|
|
|
566 |
st.write(f"Audio: {audio_file}")
|
567 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
568 |
|
569 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
570 |
+
# 6. FILE HISTORY SIDEBAR
|
571 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
572 |
+
|
573 |
def display_file_history_in_sidebar():
|
574 |
"""
|
575 |
Shows a history of each local .md, .mp3, .wav file in descending
|
|
|
578 |
st.sidebar.markdown("---")
|
579 |
st.sidebar.markdown("### π File History")
|
580 |
|
581 |
+
# Gather all files
|
582 |
md_files = glob.glob("*.md")
|
583 |
mp3_files = glob.glob("*.mp3")
|
584 |
wav_files = glob.glob("*.wav")
|
|
|
588 |
st.sidebar.write("No files found.")
|
589 |
return
|
590 |
|
591 |
+
# Sort newest first
|
592 |
all_files = sorted(all_files, key=os.path.getmtime, reverse=True)
|
593 |
|
594 |
for f in all_files:
|
|
|
599 |
|
600 |
with st.sidebar.expander(f"{emoji} {fname}"):
|
601 |
st.write(f"**Modified:** {time_str}")
|
|
|
602 |
if ext == "md":
|
603 |
with open(f, "r", encoding="utf-8") as file_in:
|
604 |
snippet = file_in.read(200).replace("\n", " ")
|
|
|
606 |
snippet += "..."
|
607 |
st.write(snippet)
|
608 |
st.markdown(get_download_link(f, file_type="md"), unsafe_allow_html=True)
|
|
|
609 |
elif ext in ["mp3","wav"]:
|
610 |
st.audio(f)
|
611 |
st.markdown(get_download_link(f, file_type=ext), unsafe_allow_html=True)
|
612 |
else:
|
613 |
st.markdown(get_download_link(f), unsafe_allow_html=True)
|
614 |
|
615 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
616 |
+
# 7. MAIN APP
|
617 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
618 |
|
619 |
def main():
|
620 |
+
# 1) Setup marquee UI in the sidebar
|
621 |
update_marquee_settings_ui()
|
622 |
marquee_settings = get_marquee_settings()
|
623 |
+
|
624 |
+
# 2) Display the marquee welcome
|
625 |
display_marquee(st.session_state['marquee_content'],
|
626 |
{**marquee_settings, "font-size": "28px", "lineHeight": "50px"},
|
627 |
key_suffix="welcome")
|
628 |
|
629 |
+
# 3) Main action tabs
|
630 |
tab_main = st.radio("Action:", ["π€ Voice", "πΈ Media", "π ArXiv", "π Editor"],
|
631 |
horizontal=True)
|
632 |
|
633 |
+
# Example custom component usage
|
634 |
mycomponent = components.declare_component("mycomponent", path="mycomponent")
|
635 |
val = mycomponent(my_input_value="Hello")
|
636 |
|
|
|
664 |
titles_summary=True,
|
665 |
full_audio=full_audio)
|
666 |
|
667 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
668 |
+
# TAB: ArXiv
|
669 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
670 |
if tab_main == "π ArXiv":
|
671 |
st.subheader("π Query ArXiv")
|
672 |
q = st.text_input("π Query:", key="arxiv_query")
|
673 |
+
|
674 |
st.markdown("### π Options")
|
675 |
vocal_summary = st.checkbox("πShortAudio", value=True, key="option_vocal_summary")
|
676 |
extended_refs = st.checkbox("πLongRefs", value=False, key="option_extended_refs")
|
|
|
685 |
if full_transcript:
|
686 |
create_file(q, result, "md")
|
687 |
|
688 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
689 |
+
# TAB: Voice
|
690 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
691 |
elif tab_main == "π€ Voice":
|
692 |
st.subheader("π€ Voice Input")
|
693 |
+
|
694 |
st.markdown("### π€ Voice Settings")
|
695 |
selected_voice = st.selectbox(
|
696 |
"Select TTS Voice:",
|
697 |
options=EDGE_TTS_VOICES,
|
698 |
index=EDGE_TTS_VOICES.index(st.session_state['tts_voice'])
|
699 |
)
|
700 |
+
|
701 |
st.markdown("### π Audio Format")
|
702 |
selected_format = st.radio(
|
703 |
"Choose Audio Format:",
|
|
|
705 |
index=0
|
706 |
)
|
707 |
|
708 |
+
# Update session state if voice/format changes
|
709 |
if selected_voice != st.session_state['tts_voice']:
|
710 |
st.session_state['tts_voice'] = selected_voice
|
711 |
st.rerun()
|
|
|
713 |
st.session_state['audio_format'] = selected_format.lower()
|
714 |
st.rerun()
|
715 |
|
716 |
+
# Input text
|
717 |
user_text = st.text_area("π¬ Message:", height=100)
|
718 |
user_text = user_text.strip().replace('\n', ' ')
|
719 |
|
|
|
725 |
st.write("**You:**", c["user"])
|
726 |
st.write("**Response:**", c["claude"])
|
727 |
|
728 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
729 |
+
# TAB: Media
|
730 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
731 |
elif tab_main == "πΈ Media":
|
732 |
st.header("πΈ Media Gallery")
|
733 |
+
|
734 |
+
# By default, show audio first
|
735 |
+
tabs = st.tabs(["π΅ Audio", "πΌ Images", "π₯ Video"])
|
736 |
+
|
737 |
+
# AUDIO sub-tab
|
738 |
with tabs[0]:
|
739 |
st.subheader("π΅ Audio Files")
|
740 |
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
|
|
|
747 |
st.markdown(dl_link, unsafe_allow_html=True)
|
748 |
else:
|
749 |
st.write("No audio files found.")
|
750 |
+
|
751 |
+
# IMAGES sub-tab
|
752 |
with tabs[1]:
|
753 |
st.subheader("πΌ Image Files")
|
754 |
imgs = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
|
|
|
760 |
st.image(Image.open(f), use_container_width=True)
|
761 |
else:
|
762 |
st.write("No images found.")
|
763 |
+
|
764 |
+
# VIDEO sub-tab
|
765 |
with tabs[2]:
|
766 |
st.subheader("π₯ Video Files")
|
767 |
vids = glob.glob("*.mp4") + glob.glob("*.mov") + glob.glob("*.avi")
|
|
|
772 |
else:
|
773 |
st.write("No videos found.")
|
774 |
|
775 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
776 |
+
# TAB: Editor
|
777 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
778 |
elif tab_main == "π Editor":
|
779 |
+
st.write("Select or create a file to edit. (Currently minimal demo)")
|
780 |
|
781 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
782 |
+
# SIDEBAR: FILE HISTORY
|
783 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
784 |
display_file_history_in_sidebar()
|
785 |
|
786 |
+
# Some light CSS styling
|
787 |
st.markdown("""
|
788 |
<style>
|
789 |
.main { background: linear-gradient(to right, #1a1a1a, #2d2d2d); color: #fff; }
|
|
|
792 |
</style>
|
793 |
""", unsafe_allow_html=True)
|
794 |
|
795 |
+
# Rerun if needed
|
796 |
if st.session_state.should_rerun:
|
797 |
st.session_state.should_rerun = False
|
798 |
st.rerun()
|