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Update app.py
Browse files
app.py
CHANGED
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@@ -50,12 +50,11 @@ EDGE_TTS_VOICES = [
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# Initialize session state variables
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if 'marquee_settings' not in st.session_state:
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-
# Default to 20s animationDuration instead of 10s:
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st.session_state['marquee_settings'] = {
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"background": "#1E1E1E",
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"color": "#FFFFFF",
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"font-size": "14px",
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-
"animationDuration": "20s",
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"width": "100%",
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"lineHeight": "35px"
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}
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@@ -91,7 +90,6 @@ if 'last_query' not in st.session_state:
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if 'marquee_content' not in st.session_state:
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st.session_state['marquee_content'] = "🚀 Welcome to TalkingAIResearcher | 🤖 Your Research Assistant"
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-
# 🔑 2. API Setup & Clients
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openai_api_key = os.getenv('OPENAI_API_KEY', "")
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anthropic_key = os.getenv('ANTHROPIC_API_KEY_3', "")
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xai_key = os.getenv('xai',"")
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@@ -105,7 +103,6 @@ openai_client = OpenAI(api_key=openai.api_key, organization=os.getenv('OPENAI_OR
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HF_KEY = os.getenv('HF_KEY')
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API_URL = os.getenv('API_URL')
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# Constants
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FILE_EMOJIS = {
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"md": "📝",
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"mp3": "🎵",
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@@ -113,17 +110,14 @@ FILE_EMOJIS = {
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}
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def get_central_time():
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"""Get current time in US Central timezone"""
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central = pytz.timezone('US/Central')
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return datetime.now(central)
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def format_timestamp_prefix():
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"""Generate timestamp prefix in format MM_dd_yy_hh_mm_AM/PM"""
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ct = get_central_time()
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return ct.strftime("%m_%d_%y_%I_%M_%p")
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def initialize_marquee_settings():
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"""Initialize marquee settings in session state"""
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if 'marquee_settings' not in st.session_state:
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st.session_state['marquee_settings'] = {
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"background": "#1E1E1E",
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@@ -135,13 +129,10 @@ def initialize_marquee_settings():
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}
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def get_marquee_settings():
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"""Get or update marquee settings from session state"""
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initialize_marquee_settings()
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return st.session_state['marquee_settings']
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def update_marquee_settings_ui():
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"""Update marquee settings via UI controls"""
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initialize_marquee_settings()
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st.sidebar.markdown("### 🎯 Marquee Settings")
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cols = st.sidebar.columns(2)
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with cols[0]:
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@@ -163,7 +154,6 @@ def update_marquee_settings_ui():
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})
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def display_marquee(text, settings, key_suffix=""):
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"""Display marquee with given text and settings"""
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truncated_text = text[:280] + "..." if len(text) > 280 else text
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streamlit_marquee(
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content=truncated_text,
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@@ -173,9 +163,6 @@ def display_marquee(text, settings, key_suffix=""):
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st.write("")
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def get_high_info_terms(text: str, top_n=10) -> list:
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"""
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Finds the top_n frequent words or bigrams (excluding some common stopwords).
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"""
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stop_words = set(['the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with'])
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words = re.findall(r'\b\w+(?:-\w+)*\b', text.lower())
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bi_grams = [' '.join(pair) for pair in zip(words, words[1:])]
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@@ -185,9 +172,6 @@ def get_high_info_terms(text: str, top_n=10) -> list:
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return [term for term, freq in counter.most_common(top_n)]
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def clean_text_for_filename(text: str) -> str:
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"""
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Cleans a text so it can be used in a filename.
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"""
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text = text.lower()
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text = re.sub(r'[^\w\s-]', '', text)
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words = text.split()
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@@ -196,23 +180,13 @@ def clean_text_for_filename(text: str) -> str:
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filtered = [w for w in words if len(w) > 3 and w not in stop_short]
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return '_'.join(filtered)[:200]
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-
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def generate_filename(prompt, response, file_type="md", max_length=200):
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"""
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Generate a shortened filename by:
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1. Extracting high-info terms
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2. Creating a smaller snippet
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3. Cleaning & joining them
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4. Removing duplicates
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5. Truncating if needed
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"""
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prefix = format_timestamp_prefix() + "_"
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combined_text = (prompt + " " + response)[:200]
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info_terms = get_high_info_terms(combined_text, top_n=5)
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snippet = (prompt[:40] + " " + response[:40]).strip()
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snippet_cleaned = clean_text_for_filename(snippet)
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-
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# Combine info terms + snippet, remove duplicates
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name_parts = info_terms + [snippet_cleaned]
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seen = set()
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unique_parts = []
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@@ -228,20 +202,13 @@ def generate_filename(prompt, response, file_type="md", max_length=200):
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return f"{prefix}{full_name}.{file_type}"
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-
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def create_file(prompt, response, file_type="md"):
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"""
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Create a file using the shortened filename from generate_filename().
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"""
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filename = generate_filename(prompt.strip(), response.strip(), file_type)
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with open(filename, 'w', encoding='utf-8') as f:
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f.write(prompt + "\n\n" + response)
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return filename
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def get_download_link(file, file_type="zip"):
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"""
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Returns an HTML anchor tag for downloading the specified file (base64-encoded).
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"""
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with open(file, "rb") as f:
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b64 = base64.b64encode(f.read()).decode()
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if file_type == "zip":
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@@ -256,9 +223,6 @@ def get_download_link(file, file_type="zip"):
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return f'<a href="data:application/octet-stream;base64,{b64}" download="{os.path.basename(file)}">Download {os.path.basename(file)}</a>'
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def clean_for_speech(text: str) -> str:
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"""
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Cleans text to make TTS output more coherent.
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"""
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text = text.replace("\n", " ")
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text = text.replace("</s>", " ")
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text = text.replace("#", "")
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@@ -281,36 +245,25 @@ def speak_with_edge_tts(text, voice="en-US-AriaNeural", rate=0, pitch=0, file_fo
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return asyncio.run(edge_tts_generate_audio(text, voice, rate, pitch, file_format))
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def play_and_download_audio(file_path, file_type="mp3"):
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"""Play audio and show a direct download link in the main area."""
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if file_path and os.path.exists(file_path):
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st.audio(file_path)
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dl_link = get_download_link(file_path, file_type=file_type)
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st.markdown(dl_link, unsafe_allow_html=True)
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def save_qa_with_audio(question, answer, voice=None):
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"""Save Q&A to markdown and generate audio file."""
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if not voice:
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voice = st.session_state['tts_voice']
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-
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# Create markdown file
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combined_text = f"# Question\n{question}\n\n# Answer\n{answer}"
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md_file = create_file(question, answer, "md")
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# Generate audio file
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audio_text = f"{question}\n\nAnswer: {answer}"
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audio_file = speak_with_edge_tts(
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audio_text,
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voice=voice,
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file_format=st.session_state['audio_format']
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)
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return md_file, audio_file
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def parse_arxiv_refs(ref_text: str):
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"""
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Given a multi-line markdown with arxiv references, parse them into
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a structure: [{date, title, url, authors, summary}, ...]
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"""
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if not ref_text:
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return []
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@@ -320,19 +273,16 @@ def parse_arxiv_refs(ref_text: str):
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for i, line in enumerate(lines):
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if line.count('|') == 2:
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# We found a new paper header line
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if current_paper:
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results.append(current_paper)
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if len(results) >= 20:
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break
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-
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try:
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header_parts = line.strip('* ').split('|')
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date = header_parts[0].strip()
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title = header_parts[1].strip()
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url_match = re.search(r'(https://arxiv.org/\S+)', line)
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url = url_match.group(1) if url_match else f"paper_{len(results)}"
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-
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current_paper = {
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'date': date,
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'title': title,
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st.warning(f"Error parsing paper header: {str(e)}")
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current_paper = {}
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continue
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-
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elif current_paper:
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# Fill authors if empty, else fill summary
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if not current_paper['authors']:
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current_paper['authors'] = line.strip('* ')
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else:
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@@ -356,31 +304,20 @@ def parse_arxiv_refs(ref_text: str):
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current_paper['summary'] += ' ' + line.strip()
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else:
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current_paper['summary'] = line.strip()
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-
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if current_paper:
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results.append(current_paper)
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return results[:20]
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def create_paper_links_md(papers):
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"""
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Creates a minimal markdown list of paper titles + arxiv links
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(and if you store PDF links, you could also include them).
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"""
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lines = ["# Paper Links\n"]
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for i, p in enumerate(papers, start=1):
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# Basic link
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lines.append(f"{i}. **{p['title']}** — [Arxiv]({p['url']})")
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return "\n".join(lines)
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def create_paper_audio_files(papers, input_question):
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"""
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Generate TTS audio for each paper, store base64 link for stable download,
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and attach to each paper dict.
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"""
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for paper in papers:
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try:
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# Just a short version for TTS
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audio_text = f"{paper['title']} by {paper['authors']}. {paper['summary']}"
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audio_text = clean_for_speech(audio_text)
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)
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paper['full_audio'] = audio_file
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# Store a base64 link with consistent name
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if audio_file:
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with open(audio_file, "rb") as af:
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b64_data = base64.b64encode(af.read()).decode()
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# We'll keep the original file's name as the stable download name
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download_filename = os.path.basename(audio_file)
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mime_type = "mpeg" if file_format == "mp3" else "wav"
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paper['download_base64'] = (
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paper['download_base64'] = ''
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def display_papers(papers, marquee_settings):
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"""
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Display the papers in the main area with marquee + expanders + audio.
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"""
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st.write("## Research Papers")
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for i, paper in enumerate(papers, start=1):
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# Show marquee
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marquee_text = f"📄 {paper['title']} | 👤 {paper['authors'][:120]} | 📝 {paper['summary'][:200]}"
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display_marquee(marquee_text, marquee_settings, key_suffix=f"paper_{i}")
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@@ -424,7 +354,6 @@ def display_papers(papers, marquee_settings):
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st.markdown(f"**{paper['date']} | {paper['title']} |** [Arxiv Link]({paper['url']})")
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st.markdown(f"*Authors:* {paper['authors']}")
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st.markdown(paper['summary'])
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-
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if paper.get('full_audio'):
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st.write("📚 Paper Audio")
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st.audio(paper['full_audio'])
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st.markdown(paper['download_base64'], unsafe_allow_html=True)
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def display_papers_in_sidebar(papers):
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"""
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New approach: in the sidebar, mirror the paper listing
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with expanders for each paper, link to arxiv, st.audio, etc.
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"""
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st.sidebar.title("🎶 Papers & Audio")
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for i, paper in enumerate(papers, start=1):
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with st.sidebar.expander(f"{i}. {paper['title']}"):
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@@ -444,15 +369,11 @@ def display_papers_in_sidebar(papers):
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st.audio(paper['full_audio'])
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if paper['download_base64']:
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st.markdown(paper['download_base64'], unsafe_allow_html=True)
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# Show minimal text if desired:
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st.markdown(f"**Authors:** {paper['authors']}")
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if paper['summary']:
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st.markdown(f"**Summary:** {paper['summary'][:300]}...")
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def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
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"""
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Zip up all relevant files, but limit final zip name to 20 chars.
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"""
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md_files = [f for f in md_files if os.path.basename(f).lower() != 'readme.md']
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all_files = md_files + mp3_files + wav_files
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if not all_files:
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@@ -464,7 +385,6 @@ def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
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with open(f, 'r', encoding='utf-8') as file:
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all_content.append(file.read())
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elif f.endswith('.mp3') or f.endswith('.wav'):
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# Add some text representation
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basename = os.path.splitext(os.path.basename(f))[0]
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words = basename.replace('_', ' ')
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all_content.append(words)
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@@ -474,82 +394,61 @@ def create_zip_of_files(md_files, mp3_files, wav_files, input_question):
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info_terms = get_high_info_terms(combined_content, top_n=10)
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timestamp = format_timestamp_prefix()
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name_text = '-'.join(term for term in info_terms[:5])
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# Limit the final name to 20 chars (excluding .zip)
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short_zip_name = (timestamp + "_" + name_text)[:20] + ".zip"
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-
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with zipfile.ZipFile(short_zip_name, 'w') as z:
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for f in all_files:
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z.write(f)
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-
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return short_zip_name
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-
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# ---------------------------- 1/11/2025 - add a constitution to my arxiv system templating to build configurable personality
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-
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def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
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titles_summary=True, full_audio=False):
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start = time.time()
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-
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ai_constitution = """
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-
You are a talented AI coder and songwriter
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-
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(Omitted extra instructions for brevity...)
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"""
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-
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# Claude:
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client = anthropic.Anthropic(api_key=anthropic_key)
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user_input = q
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-
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response = client.messages.create(
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model="claude-3-sonnet-20240229",
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max_tokens=1000,
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messages=[
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{"role": "user", "content": user_input}
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])
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-
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st.write("Claude's reply 🧠:")
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st.markdown(response.content[0].text)
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# Save and produce audio for Claude response
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result = response.content[0].text
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create_file(q, result)
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md_file, audio_file = save_qa_with_audio(q, result)
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st.subheader("📝 Main Response Audio")
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play_and_download_audio(audio_file, st.session_state['audio_format'])
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-
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# Arxiv:
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st.write("Arxiv's AI this Evening
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-
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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refs = client.predict(q, 20, "Semantic Search",
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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api_name="/update_with_rag_md")[0]
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-
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r2 = client.predict(q, "mistralai/Mixtral-8x7B-Instruct-v0.1",
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True, api_name="/ask_llm")
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result = f"### 🔎 {q}\n\n{r2}\n\n{refs}"
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-
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# Save and produce audio for second response
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md_file, audio_file = save_qa_with_audio(q, result)
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-
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st.subheader("📝 Main Response Audio")
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play_and_download_audio(audio_file, st.session_state['audio_format'])
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papers = parse_arxiv_refs(refs)
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if papers:
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-
# 4) Create & show a minimal markdown links page before generating audio
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paper_links = create_paper_links_md(papers)
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links_file = create_file(q, paper_links, "md")
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st.markdown(paper_links)
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-
# Now produce audio for each paper
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create_paper_audio_files(papers, input_question=q)
|
| 550 |
display_papers(papers, get_marquee_settings())
|
| 551 |
-
|
| 552 |
-
# Also display in the sidebar as requested
|
| 553 |
display_papers_in_sidebar(papers)
|
| 554 |
else:
|
| 555 |
st.warning("No papers found in the response.")
|
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@@ -561,7 +460,6 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False,
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| 561 |
def process_voice_input(text):
|
| 562 |
if not text:
|
| 563 |
return
|
| 564 |
-
|
| 565 |
st.subheader("🔍 Search Results")
|
| 566 |
result = perform_ai_lookup(
|
| 567 |
text,
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@@ -570,38 +468,77 @@ def process_voice_input(text):
|
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| 570 |
titles_summary=True,
|
| 571 |
full_audio=True
|
| 572 |
)
|
| 573 |
-
|
| 574 |
-
# Save final Q&A with audio
|
| 575 |
md_file, audio_file = save_qa_with_audio(text, result)
|
| 576 |
-
|
| 577 |
st.subheader("📝 Generated Files")
|
| 578 |
st.write(f"Markdown: {md_file}")
|
| 579 |
st.write(f"Audio: {audio_file}")
|
| 580 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
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def main():
|
| 583 |
-
# Update marquee settings UI
|
| 584 |
update_marquee_settings_ui()
|
| 585 |
marquee_settings = get_marquee_settings()
|
| 586 |
-
|
| 587 |
-
# Initial welcome marquee
|
| 588 |
display_marquee(st.session_state['marquee_content'],
|
| 589 |
{**marquee_settings, "font-size": "28px", "lineHeight": "50px"},
|
| 590 |
key_suffix="welcome")
|
| 591 |
|
| 592 |
-
#
|
| 593 |
tab_main = st.radio("Action:", ["🎤 Voice", "📸 Media", "🔍 ArXiv", "📝 Editor"],
|
| 594 |
horizontal=True)
|
| 595 |
|
| 596 |
-
# Simple example usage of a Streamlit component (placeholder)
|
| 597 |
mycomponent = components.declare_component("mycomponent", path="mycomponent")
|
| 598 |
val = mycomponent(my_input_value="Hello")
|
| 599 |
|
| 600 |
-
# Quick example - if the component returns text:
|
| 601 |
if val:
|
| 602 |
val_stripped = val.replace('\\n', ' ')
|
| 603 |
edited_input = st.text_area("✏️ Edit Input:", value=val_stripped, height=100)
|
| 604 |
-
|
| 605 |
run_option = st.selectbox("Model:", ["Arxiv"])
|
| 606 |
col1, col2 = st.columns(2)
|
| 607 |
with col1:
|
|
@@ -629,11 +566,9 @@ def main():
|
|
| 629 |
titles_summary=True,
|
| 630 |
full_audio=full_audio)
|
| 631 |
|
| 632 |
-
# --- Tab: ArXiv
|
| 633 |
if tab_main == "🔍 ArXiv":
|
| 634 |
st.subheader("🔍 Query ArXiv")
|
| 635 |
q = st.text_input("🔍 Query:", key="arxiv_query")
|
| 636 |
-
|
| 637 |
st.markdown("### 🎛 Options")
|
| 638 |
vocal_summary = st.checkbox("🎙ShortAudio", value=True, key="option_vocal_summary")
|
| 639 |
extended_refs = st.checkbox("📜LongRefs", value=False, key="option_extended_refs")
|
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@@ -648,18 +583,14 @@ def main():
|
|
| 648 |
if full_transcript:
|
| 649 |
create_file(q, result, "md")
|
| 650 |
|
| 651 |
-
# --- Tab: Voice
|
| 652 |
elif tab_main == "🎤 Voice":
|
| 653 |
st.subheader("🎤 Voice Input")
|
| 654 |
-
|
| 655 |
-
# Voice and format settings
|
| 656 |
st.markdown("### 🎤 Voice Settings")
|
| 657 |
selected_voice = st.selectbox(
|
| 658 |
"Select TTS Voice:",
|
| 659 |
options=EDGE_TTS_VOICES,
|
| 660 |
index=EDGE_TTS_VOICES.index(st.session_state['tts_voice'])
|
| 661 |
)
|
| 662 |
-
|
| 663 |
st.markdown("### 🔊 Audio Format")
|
| 664 |
selected_format = st.radio(
|
| 665 |
"Choose Audio Format:",
|
|
@@ -674,7 +605,6 @@ def main():
|
|
| 674 |
st.session_state['audio_format'] = selected_format.lower()
|
| 675 |
st.rerun()
|
| 676 |
|
| 677 |
-
# User text
|
| 678 |
user_text = st.text_area("💬 Message:", height=100)
|
| 679 |
user_text = user_text.strip().replace('\n', ' ')
|
| 680 |
|
|
@@ -686,11 +616,9 @@ def main():
|
|
| 686 |
st.write("**You:**", c["user"])
|
| 687 |
st.write("**Response:**", c["claude"])
|
| 688 |
|
| 689 |
-
# --- Tab: Media
|
| 690 |
elif tab_main == "📸 Media":
|
| 691 |
st.header("📸 Media Gallery")
|
| 692 |
-
tabs = st.tabs(["🎵 Audio", "🖼 Images", "🎥 Video"]) # audio first
|
| 693 |
-
# --- Audio Tab
|
| 694 |
with tabs[0]:
|
| 695 |
st.subheader("🎵 Audio Files")
|
| 696 |
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
|
|
@@ -703,8 +631,6 @@ def main():
|
|
| 703 |
st.markdown(dl_link, unsafe_allow_html=True)
|
| 704 |
else:
|
| 705 |
st.write("No audio files found.")
|
| 706 |
-
|
| 707 |
-
# --- Images Tab
|
| 708 |
with tabs[1]:
|
| 709 |
st.subheader("🖼 Image Files")
|
| 710 |
imgs = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
|
|
@@ -716,8 +642,6 @@ def main():
|
|
| 716 |
st.image(Image.open(f), use_container_width=True)
|
| 717 |
else:
|
| 718 |
st.write("No images found.")
|
| 719 |
-
|
| 720 |
-
# --- Video Tab
|
| 721 |
with tabs[2]:
|
| 722 |
st.subheader("🎥 Video Files")
|
| 723 |
vids = glob.glob("*.mp4") + glob.glob("*.mov") + glob.glob("*.avi")
|
|
@@ -728,9 +652,11 @@ def main():
|
|
| 728 |
else:
|
| 729 |
st.write("No videos found.")
|
| 730 |
|
| 731 |
-
# --- Tab: Editor
|
| 732 |
elif tab_main == "📝 Editor":
|
| 733 |
-
st.write("Select or create a file to edit. (Currently minimal
|
|
|
|
|
|
|
|
|
|
| 734 |
|
| 735 |
st.markdown("""
|
| 736 |
<style>
|
|
@@ -744,6 +670,5 @@ def main():
|
|
| 744 |
st.session_state.should_rerun = False
|
| 745 |
st.rerun()
|
| 746 |
|
| 747 |
-
|
| 748 |
if __name__ == "__main__":
|
| 749 |
main()
|
|
|
|
| 50 |
|
| 51 |
# Initialize session state variables
|
| 52 |
if 'marquee_settings' not in st.session_state:
|
|
|
|
| 53 |
st.session_state['marquee_settings'] = {
|
| 54 |
"background": "#1E1E1E",
|
| 55 |
"color": "#FFFFFF",
|
| 56 |
"font-size": "14px",
|
| 57 |
+
"animationDuration": "20s",
|
| 58 |
"width": "100%",
|
| 59 |
"lineHeight": "35px"
|
| 60 |
}
|
|
|
|
| 90 |
if 'marquee_content' not in st.session_state:
|
| 91 |
st.session_state['marquee_content'] = "🚀 Welcome to TalkingAIResearcher | 🤖 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 |
HF_KEY = os.getenv('HF_KEY')
|
| 104 |
API_URL = os.getenv('API_URL')
|
| 105 |
|
|
|
|
| 106 |
FILE_EMOJIS = {
|
| 107 |
"md": "📝",
|
| 108 |
"mp3": "🎵",
|
|
|
|
| 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 |
|
| 120 |
def initialize_marquee_settings():
|
|
|
|
| 121 |
if 'marquee_settings' not in st.session_state:
|
| 122 |
st.session_state['marquee_settings'] = {
|
| 123 |
"background": "#1E1E1E",
|
|
|
|
| 129 |
}
|
| 130 |
|
| 131 |
def get_marquee_settings():
|
|
|
|
| 132 |
initialize_marquee_settings()
|
| 133 |
return st.session_state['marquee_settings']
|
| 134 |
|
| 135 |
def update_marquee_settings_ui():
|
|
|
|
|
|
|
| 136 |
st.sidebar.markdown("### 🎯 Marquee Settings")
|
| 137 |
cols = st.sidebar.columns(2)
|
| 138 |
with cols[0]:
|
|
|
|
| 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 |
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 |
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()
|
|
|
|
| 180 |
filtered = [w for w in words if len(w) > 3 and w not in stop_short]
|
| 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()
|
| 192 |
unique_parts = []
|
|
|
|
| 202 |
|
| 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 |
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("#", "")
|
|
|
|
| 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}"
|
| 259 |
audio_file = speak_with_edge_tts(
|
| 260 |
audio_text,
|
| 261 |
voice=voice,
|
| 262 |
file_format=st.session_state['audio_format']
|
| 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 |
|
| 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:
|
| 279 |
break
|
|
|
|
| 280 |
try:
|
| 281 |
header_parts = line.strip('* ').split('|')
|
| 282 |
date = header_parts[0].strip()
|
| 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 |
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 |
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']}** — [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 |
|
|
|
|
| 329 |
)
|
| 330 |
paper['full_audio'] = audio_file
|
| 331 |
|
|
|
|
| 332 |
if audio_file:
|
| 333 |
with open(audio_file, "rb") as af:
|
| 334 |
b64_data = base64.b64encode(af.read()).decode()
|
|
|
|
| 335 |
download_filename = os.path.basename(audio_file)
|
| 336 |
mime_type = "mpeg" if file_format == "mp3" else "wav"
|
| 337 |
paper['download_base64'] = (
|
|
|
|
| 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"📄 {paper['title']} | 👤 {paper['authors'][:120]} | 📝 {paper['summary'][:200]}"
|
| 351 |
display_marquee(marquee_text, marquee_settings, key_suffix=f"paper_{i}")
|
| 352 |
|
|
|
|
| 354 |
st.markdown(f"**{paper['date']} | {paper['title']} |** [Arxiv Link]({paper['url']})")
|
| 355 |
st.markdown(f"*Authors:* {paper['authors']}")
|
| 356 |
st.markdown(paper['summary'])
|
|
|
|
| 357 |
if paper.get('full_audio'):
|
| 358 |
st.write("📚 Paper Audio")
|
| 359 |
st.audio(paper['full_audio'])
|
|
|
|
| 361 |
st.markdown(paper['download_base64'], unsafe_allow_html=True)
|
| 362 |
|
| 363 |
def display_papers_in_sidebar(papers):
|
|
|
|
|
|
|
|
|
|
|
|
|
| 364 |
st.sidebar.title("🎶 Papers & Audio")
|
| 365 |
for i, paper in enumerate(papers, start=1):
|
| 366 |
with st.sidebar.expander(f"{i}. {paper['title']}"):
|
|
|
|
| 369 |
st.audio(paper['full_audio'])
|
| 370 |
if paper['download_base64']:
|
| 371 |
st.markdown(paper['download_base64'], unsafe_allow_html=True)
|
|
|
|
| 372 |
st.markdown(f"**Authors:** {paper['authors']}")
|
| 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:
|
|
|
|
| 385 |
with open(f, 'r', encoding='utf-8') as file:
|
| 386 |
all_content.append(file.read())
|
| 387 |
elif f.endswith('.mp3') or f.endswith('.wav'):
|
|
|
|
| 388 |
basename = os.path.splitext(os.path.basename(f))[0]
|
| 389 |
words = basename.replace('_', ' ')
|
| 390 |
all_content.append(words)
|
|
|
|
| 394 |
info_terms = get_high_info_terms(combined_content, top_n=10)
|
| 395 |
|
| 396 |
timestamp = format_timestamp_prefix()
|
| 397 |
+
name_text = '-'.join(term for term in info_terms[:5])
|
|
|
|
| 398 |
short_zip_name = (timestamp + "_" + name_text)[:20] + ".zip"
|
| 399 |
+
|
| 400 |
with zipfile.ZipFile(short_zip_name, 'w') as z:
|
| 401 |
for f in all_files:
|
| 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 |
# Claude:
|
| 412 |
client = anthropic.Anthropic(api_key=anthropic_key)
|
| 413 |
user_input = q
|
|
|
|
| 414 |
response = client.messages.create(
|
| 415 |
model="claude-3-sonnet-20240229",
|
| 416 |
max_tokens=1000,
|
| 417 |
messages=[
|
| 418 |
{"role": "user", "content": user_input}
|
| 419 |
])
|
|
|
|
| 420 |
st.write("Claude's reply 🧠:")
|
| 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("📝 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(q, 20, "Semantic Search",
|
| 434 |
"mistralai/Mixtral-8x7B-Instruct-v0.1",
|
| 435 |
api_name="/update_with_rag_md")[0]
|
|
|
|
| 436 |
r2 = client.predict(q, "mistralai/Mixtral-8x7B-Instruct-v0.1",
|
| 437 |
True, api_name="/ask_llm")
|
| 438 |
|
| 439 |
result = f"### 🔎 {q}\n\n{r2}\n\n{refs}"
|
|
|
|
|
|
|
| 440 |
md_file, audio_file = save_qa_with_audio(q, result)
|
|
|
|
| 441 |
st.subheader("📝 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)
|
| 453 |
else:
|
| 454 |
st.warning("No papers found in the response.")
|
|
|
|
| 460 |
def process_voice_input(text):
|
| 461 |
if not text:
|
| 462 |
return
|
|
|
|
| 463 |
st.subheader("🔍 Search Results")
|
| 464 |
result = perform_ai_lookup(
|
| 465 |
text,
|
|
|
|
| 468 |
titles_summary=True,
|
| 469 |
full_audio=True
|
| 470 |
)
|
|
|
|
|
|
|
| 471 |
md_file, audio_file = save_qa_with_audio(text, result)
|
|
|
|
| 472 |
st.subheader("📝 Generated Files")
|
| 473 |
st.write(f"Markdown: {md_file}")
|
| 474 |
st.write(f"Audio: {audio_file}")
|
| 475 |
play_and_download_audio(audio_file, st.session_state['audio_format'])
|
| 476 |
|
| 477 |
+
# ----------------------------------------------------------------------------
|
| 478 |
+
# ADD HERE — FILE HISTORY SIDEBAR
|
| 479 |
+
def display_file_history_in_sidebar():
|
| 480 |
+
"""
|
| 481 |
+
Shows a history of each local .md, .mp3, .wav file in descending
|
| 482 |
+
order of modification time, with quick icons and optional download links.
|
| 483 |
+
"""
|
| 484 |
+
st.sidebar.markdown("---")
|
| 485 |
+
st.sidebar.markdown("### 📂 File History")
|
| 486 |
+
|
| 487 |
+
# Gather all files of interest
|
| 488 |
+
md_files = glob.glob("*.md")
|
| 489 |
+
mp3_files = glob.glob("*.mp3")
|
| 490 |
+
wav_files = glob.glob("*.wav")
|
| 491 |
+
all_files = md_files + mp3_files + wav_files
|
| 492 |
+
|
| 493 |
+
if not all_files:
|
| 494 |
+
st.sidebar.write("No files found.")
|
| 495 |
+
return
|
| 496 |
+
|
| 497 |
+
# Sort by newest first
|
| 498 |
+
all_files = sorted(all_files, key=os.path.getmtime, reverse=True)
|
| 499 |
+
|
| 500 |
+
for f in all_files:
|
| 501 |
+
fname = os.path.basename(f)
|
| 502 |
+
ext = os.path.splitext(fname)[1].lower().strip('.')
|
| 503 |
+
emoji = FILE_EMOJIS.get(ext, '📦')
|
| 504 |
+
time_str = datetime.fromtimestamp(os.path.getmtime(f)).strftime("%Y-%m-%d %H:%M:%S")
|
| 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", " ")
|
| 512 |
+
if len(snippet) == 200:
|
| 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 |
+
# -- Insert your main app tabs, logic, etc. --
|
| 533 |
tab_main = st.radio("Action:", ["🎤 Voice", "📸 Media", "🔍 ArXiv", "📝 Editor"],
|
| 534 |
horizontal=True)
|
| 535 |
|
|
|
|
| 536 |
mycomponent = components.declare_component("mycomponent", path="mycomponent")
|
| 537 |
val = mycomponent(my_input_value="Hello")
|
| 538 |
|
|
|
|
| 539 |
if val:
|
| 540 |
val_stripped = val.replace('\\n', ' ')
|
| 541 |
edited_input = st.text_area("✏️ Edit Input:", value=val_stripped, height=100)
|
|
|
|
| 542 |
run_option = st.selectbox("Model:", ["Arxiv"])
|
| 543 |
col1, col2 = st.columns(2)
|
| 544 |
with col1:
|
|
|
|
| 566 |
titles_summary=True,
|
| 567 |
full_audio=full_audio)
|
| 568 |
|
|
|
|
| 569 |
if tab_main == "🔍 ArXiv":
|
| 570 |
st.subheader("🔍 Query ArXiv")
|
| 571 |
q = st.text_input("🔍 Query:", key="arxiv_query")
|
|
|
|
| 572 |
st.markdown("### 🎛 Options")
|
| 573 |
vocal_summary = st.checkbox("🎙ShortAudio", value=True, key="option_vocal_summary")
|
| 574 |
extended_refs = st.checkbox("📜LongRefs", value=False, key="option_extended_refs")
|
|
|
|
| 583 |
if full_transcript:
|
| 584 |
create_file(q, result, "md")
|
| 585 |
|
|
|
|
| 586 |
elif tab_main == "🎤 Voice":
|
| 587 |
st.subheader("🎤 Voice Input")
|
|
|
|
|
|
|
| 588 |
st.markdown("### 🎤 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("### 🔊 Audio Format")
|
| 595 |
selected_format = st.radio(
|
| 596 |
"Choose Audio Format:",
|
|
|
|
| 605 |
st.session_state['audio_format'] = selected_format.lower()
|
| 606 |
st.rerun()
|
| 607 |
|
|
|
|
| 608 |
user_text = st.text_area("💬 Message:", height=100)
|
| 609 |
user_text = user_text.strip().replace('\n', ' ')
|
| 610 |
|
|
|
|
| 616 |
st.write("**You:**", c["user"])
|
| 617 |
st.write("**Response:**", c["claude"])
|
| 618 |
|
|
|
|
| 619 |
elif tab_main == "📸 Media":
|
| 620 |
st.header("📸 Media Gallery")
|
| 621 |
+
tabs = st.tabs(["🎵 Audio", "🖼 Images", "🎥 Video"]) # audio first
|
|
|
|
| 622 |
with tabs[0]:
|
| 623 |
st.subheader("🎵 Audio Files")
|
| 624 |
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
|
|
|
|
| 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("🖼 Image Files")
|
| 636 |
imgs = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
|
|
|
|
| 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("🎥 Video Files")
|
| 647 |
vids = glob.glob("*.mp4") + glob.glob("*.mov") + glob.glob("*.avi")
|
|
|
|
| 652 |
else:
|
| 653 |
st.write("No videos found.")
|
| 654 |
|
|
|
|
| 655 |
elif tab_main == "📝 Editor":
|
| 656 |
+
st.write("Select or create a file to edit. (Currently minimal)")
|
| 657 |
+
|
| 658 |
+
# --- IMPORTANT: Display the file-history in the sidebar
|
| 659 |
+
display_file_history_in_sidebar()
|
| 660 |
|
| 661 |
st.markdown("""
|
| 662 |
<style>
|
|
|
|
| 670 |
st.session_state.should_rerun = False
|
| 671 |
st.rerun()
|
| 672 |
|
|
|
|
| 673 |
if __name__ == "__main__":
|
| 674 |
main()
|