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Update backup17.app.py
Browse files- backup17.app.py +177 -107
backup17.app.py
CHANGED
@@ -5,7 +5,7 @@ import streamlit.components.v1 as components
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from datetime import datetime
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from audio_recorder_streamlit import audio_recorder
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from bs4 import BeautifulSoup
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from collections import deque
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from dotenv import load_dotenv
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from gradio_client import Client
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from huggingface_hub import InferenceClient
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@@ -18,7 +18,7 @@ from openai import OpenAI
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import extra_streamlit_components as stx
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from streamlit.runtime.scriptrunner import get_script_run_ctx
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import asyncio
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import edge_tts
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# π§ Config & Setup
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st.set_page_config(
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@@ -40,21 +40,46 @@ 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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st.session_state
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st.session_state
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st.session_state
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st.session_state
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# π¨ Minimal Custom CSS
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st.markdown("""
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<style>
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.main { background: linear-gradient(to right, #1a1a1a, #2d2d2d); color: #fff; }
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.stMarkdown { font-family: 'Helvetica Neue', sans-serif; }
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</style>
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""", unsafe_allow_html=True)
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-
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def generate_filename(prompt, file_type="md"):
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ctz = pytz.timezone('US/Central')
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date_str = datetime.now(ctz).strftime("%m%d_%H%M")
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@@ -63,13 +88,14 @@ def generate_filename(prompt, file_type="md"):
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return f"{date_str}_{safe}.{file_type}"
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def create_file(filename, prompt, response):
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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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def get_download_link(file):
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with open(file, "rb") as f:
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b64 = base64.b64encode(f.read()).decode()
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return f'<a href="data:file/
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@st.cache_resource
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def speech_synthesis_html(result):
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@@ -83,9 +109,8 @@ def speech_synthesis_html(result):
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"""
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components.html(html_code, height=0)
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#------------add EdgeTTS
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# --- NEW FUNCTIONS FOR EDGE TTS ---
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async def edge_tts_generate_audio(text, voice="en-US-AriaNeural", rate=0, pitch=0):
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if not text.strip():
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return None
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rate_str = f"{rate:+d}%"
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@@ -101,8 +126,8 @@ def speak_with_edge_tts(text, voice="en-US-AriaNeural", rate=0, pitch=0):
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def play_and_download_audio(file_path):
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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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def process_image(image_path, user_prompt):
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with open(image_path, "rb") as imgf:
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@@ -125,6 +150,7 @@ def process_audio(audio_path):
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with open(audio_path, "rb") as f:
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transcription = openai_client.audio.transcriptions.create(model="whisper-1", file=f)
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st.session_state.messages.append({"role": "user", "content": transcription.text})
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return transcription.text
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def process_video(video_path, seconds_per_frame=1):
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@@ -177,26 +203,18 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False, titles_summary
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st.markdown(result)
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# Main Vocal Summary (Short Answer)
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if vocal_summary:
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start_main_part = time.time()
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audio_file_main = speak_with_edge_tts(r2, voice="en-US-AriaNeural", rate=0, pitch=0)
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st.write("### ποΈ Vocal Summary (Short Answer)")
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play_and_download_audio(audio_file_main)
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st.write(f"**Elapsed (Short Answer):** {time.time() - start_main_part:.2f} s")
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# Extended References & Summaries (optional)
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if extended_refs:
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start_refs_part = time.time()
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summaries_text = "Here are the summaries from the references: " + refs.replace('"','')
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audio_file_refs = speak_with_edge_tts(summaries_text, voice="en-US-AriaNeural", rate=0, pitch=0)
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st.write("### π Extended References & Summaries")
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play_and_download_audio(audio_file_refs)
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st.write(f"**Elapsed (Extended References):** {time.time() - start_refs_part:.2f} s")
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# Paper Titles Only (short)
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if titles_summary:
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start_titles_part = time.time()
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titles = []
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for line in refs.split('\n'):
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m = re.search(r"\[([^\]]+)\]", line)
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@@ -207,7 +225,6 @@ def perform_ai_lookup(q, vocal_summary=True, extended_refs=False, titles_summary
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audio_file_titles = speak_with_edge_tts(titles_text, voice="en-US-AriaNeural", rate=0, pitch=0)
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st.write("### π Paper Titles")
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play_and_download_audio(audio_file_titles)
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st.write(f"**Elapsed (Titles):** {time.time() - start_titles_part:.2f} s")
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elapsed = time.time()-start
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st.write(f"**Total Elapsed:** {elapsed:.2f} s")
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@@ -230,7 +247,7 @@ def process_with_gpt(text):
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st.write("GPT-4o: " + ans)
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create_file(generate_filename(text,"md"),text,ans)
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st.session_state.messages.append({"role":"assistant","content":ans})
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def process_with_claude(text):
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if not text: return
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@@ -246,13 +263,23 @@ def process_with_claude(text):
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st.write("Claude: " + ans)
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create_file(generate_filename(text,"md"),text,ans)
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st.session_state.chat_history.append({"user":text,"claude":ans})
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def create_zip_of_files():
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md_files = glob.glob("*.md")
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mp3_files = glob.glob("*.mp3")
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all_files = md_files + mp3_files
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with zipfile.ZipFile(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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@@ -265,87 +292,107 @@ def get_media_html(p,typ="video",w="100%"):
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else:
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return f'<audio controls style="width:{w};"><source src="data:audio/mpeg;base64,{d}" type="audio/mpeg"></audio>'
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def
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# Display .mp3 files in the sidebar
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mp3_files = sorted(glob.glob("*.mp3"), reverse=True)
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if mp3_files:
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st.sidebar.subheader("MP3 Files:")
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if st.sidebar.button("π Delete All MP3"):
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for a in mp3_files:
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os.remove(a)
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st.experimental_rerun()
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for a in mp3_files:
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exp = st.sidebar.expander(os.path.basename(a))
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with exp:
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# Show audio player
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st.markdown(get_media_html(a,"audio"),unsafe_allow_html=True)
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# Actions row
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c1, c2, c3 = st.columns([3,3,1])
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with c1:
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# Download link for the MP3 file
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st.markdown(get_download_link(a), unsafe_allow_html=True)
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with c2:
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# Button to transcribe this file
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if st.button(f"Transcribe {os.path.basename(a)}", key="transcribe_"+a):
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t = process_audio(a)
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st.write("Transcription:")
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st.write(t)
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with c3:
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# Delete button for mp3
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if st.button("π", key="del_mp3_"+a):
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os.remove(a)
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st.experimental_rerun()
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else:
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st.sidebar.write("No MP3 files found.")
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# Display .md files in the sidebar
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st.sidebar.subheader("MD Files:")
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files = sorted(glob.glob("*.md"), reverse=True)
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if st.sidebar.button("π Delete All MD"):
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for f in files:
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os.remove(f)
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st.experimental_rerun()
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if files:
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for f in files:
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col1, col2, col3, col4 = st.sidebar.columns([1,3,1,1])
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with col1:
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if st.button("π", key="v"+f):
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st.session_state.current_file = f
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c = open(f,'r',encoding='utf-8').read()
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st.write("**Viewing file content:**")
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st.write(c)
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with col2:
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st.markdown(get_download_link(f),unsafe_allow_html=True)
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with col3:
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if st.button("π", key="e"+f):
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st.session_state.current_file = f
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st.session_state.file_content = open(f,'r',encoding='utf-8').read()
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with col4:
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if st.button("π", key="d"+f):
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os.remove(f)
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st.experimental_rerun()
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else:
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st.sidebar.write("No MD files found.")
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# Download all as zip (including .mp3 and .md)
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if len(files) > 0 or len(mp3_files) > 0:
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if st.sidebar.button("β¬οΈ Download All (.md and .mp3)"):
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z = create_zip_of_files()
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st.sidebar.markdown(get_download_link(z),unsafe_allow_html=True)
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def main():
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st.sidebar.markdown("### π²BikeAIπ Multi-Agent Research AI")
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tab_main = st.radio("Action:",["π€ Voice Input","πΈ Media Gallery","π Search ArXiv","π File Editor"],horizontal=True)
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model_choice = st.sidebar.radio("AI Model:", ["Arxiv","GPT-4o","Claude-3","GPT+Claude+Arxiv"], index=0)
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#
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mycomponent = components.declare_component("mycomponent", path="mycomponent")
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val = mycomponent(my_input_value="Hello")
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if val:
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if q:
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q = q.strip()
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if q and st.button("Run ArXiv Query"):
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st.markdown(r)
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elif tab_main == "π€ Voice Input":
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st.subheader("π€ Voice Recognition")
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for i,f in enumerate(imgs):
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with cols[i%c]:
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st.image(Image.open(f),use_container_width=True)
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if st.button(f"π Analyze {os.path.basename(f)}"):
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a = process_image(f,"Describe this image.")
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st.markdown(a)
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else:
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for v in vids:
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with st.expander(f"π₯ {os.path.basename(v)}"):
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st.markdown(get_media_html(v,"video"),unsafe_allow_html=True)
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if st.button(f"Analyze {os.path.basename(v)}"):
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a = process_video_with_gpt(v,"Describe video.")
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st.markdown(a)
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else:
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with open(st.session_state.current_file,'w',encoding='utf-8') as f:
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f.write(new_text)
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st.success("Updated!")
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else:
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st.write("Select a file from the sidebar to edit.")
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if __name__=="__main__":
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main()
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from datetime import datetime
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from audio_recorder_streamlit import audio_recorder
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from bs4 import BeautifulSoup
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from collections import defaultdict, deque
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from dotenv import load_dotenv
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from gradio_client import Client
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from huggingface_hub import InferenceClient
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import extra_streamlit_components as stx
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from streamlit.runtime.scriptrunner import get_script_run_ctx
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import asyncio
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import edge_tts
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# π§ Config & Setup
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st.set_page_config(
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HF_KEY = os.getenv('HF_KEY')
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API_URL = os.getenv('API_URL')
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# Session states
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if 'transcript_history' not in st.session_state:
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st.session_state['transcript_history'] = []
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if 'chat_history' not in st.session_state:
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st.session_state['chat_history'] = []
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if 'openai_model' not in st.session_state:
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st.session_state['openai_model'] = "gpt-4o-2024-05-13"
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if 'messages' not in st.session_state:
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st.session_state['messages'] = []
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if 'last_voice_input' not in st.session_state:
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st.session_state['last_voice_input'] = ""
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if 'editing_file' not in st.session_state:
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st.session_state['editing_file'] = None
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if 'edit_new_name' not in st.session_state:
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st.session_state['edit_new_name'] = ""
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if 'edit_new_content' not in st.session_state:
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st.session_state['edit_new_content'] = ""
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if 'viewing_file' not in st.session_state:
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st.session_state['viewing_file'] = None
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if 'viewing_file_type' not in st.session_state:
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st.session_state['viewing_file_type'] = None
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if 'should_rerun' not in st.session_state:
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st.session_state['should_rerun'] = False
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# π¨ Minimal Custom CSS
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st.markdown("""
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<style>
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.main { background: linear-gradient(to right, #1a1a1a, #2d2d2d); color: #fff; }
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.stMarkdown { font-family: 'Helvetica Neue', sans-serif; }
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.stButton>button {
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margin-right: 0.5rem;
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}
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</style>
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""", unsafe_allow_html=True)
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FILE_EMOJIS = {
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"md": "π",
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"mp3": "π΅",
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}
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def generate_filename(prompt, file_type="md"):
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ctz = pytz.timezone('US/Central')
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date_str = datetime.now(ctz).strftime("%m%d_%H%M")
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return f"{date_str}_{safe}.{file_type}"
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def create_file(filename, prompt, response):
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# Creating file does not trigger immediate rerun
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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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def get_download_link(file):
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with open(file, "rb") as f:
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b64 = base64.b64encode(f.read()).decode()
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return f'<a href="data:file/zip;base64,{b64}" download="{os.path.basename(file)}">π Download {os.path.basename(file)}</a>'
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@st.cache_resource
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def speech_synthesis_html(result):
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"""
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components.html(html_code, height=0)
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async def edge_tts_generate_audio(text, voice="en-US-AriaNeural", rate=0, pitch=0):
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# Just create mp3 file, no immediate rerun
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if not text.strip():
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return None
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rate_str = f"{rate:+d}%"
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def play_and_download_audio(file_path):
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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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129 |
+
dl_link = f'<a href="data:audio/mpeg;base64,{base64.b64encode(open(file_path,"rb").read()).decode()}" download="{os.path.basename(file_path)}">Download {os.path.basename(file_path)}</a>'
|
130 |
+
st.markdown(dl_link, unsafe_allow_html=True)
|
131 |
|
132 |
def process_image(image_path, user_prompt):
|
133 |
with open(image_path, "rb") as imgf:
|
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|
150 |
with open(audio_path, "rb") as f:
|
151 |
transcription = openai_client.audio.transcriptions.create(model="whisper-1", file=f)
|
152 |
st.session_state.messages.append({"role": "user", "content": transcription.text})
|
153 |
+
# No immediate rerun
|
154 |
return transcription.text
|
155 |
|
156 |
def process_video(video_path, seconds_per_frame=1):
|
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|
203 |
|
204 |
st.markdown(result)
|
205 |
|
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|
206 |
if vocal_summary:
|
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|
207 |
audio_file_main = speak_with_edge_tts(r2, voice="en-US-AriaNeural", rate=0, pitch=0)
|
208 |
st.write("### ποΈ Vocal Summary (Short Answer)")
|
209 |
play_and_download_audio(audio_file_main)
|
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|
210 |
|
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|
211 |
if extended_refs:
|
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|
212 |
summaries_text = "Here are the summaries from the references: " + refs.replace('"','')
|
213 |
audio_file_refs = speak_with_edge_tts(summaries_text, voice="en-US-AriaNeural", rate=0, pitch=0)
|
214 |
st.write("### π Extended References & Summaries")
|
215 |
play_and_download_audio(audio_file_refs)
|
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|
216 |
|
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|
217 |
if titles_summary:
|
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|
218 |
titles = []
|
219 |
for line in refs.split('\n'):
|
220 |
m = re.search(r"\[([^\]]+)\]", line)
|
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|
225 |
audio_file_titles = speak_with_edge_tts(titles_text, voice="en-US-AriaNeural", rate=0, pitch=0)
|
226 |
st.write("### π Paper Titles")
|
227 |
play_and_download_audio(audio_file_titles)
|
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|
228 |
|
229 |
elapsed = time.time()-start
|
230 |
st.write(f"**Total Elapsed:** {elapsed:.2f} s")
|
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|
247 |
st.write("GPT-4o: " + ans)
|
248 |
create_file(generate_filename(text,"md"),text,ans)
|
249 |
st.session_state.messages.append({"role":"assistant","content":ans})
|
250 |
+
return ans
|
251 |
|
252 |
def process_with_claude(text):
|
253 |
if not text: return
|
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|
263 |
st.write("Claude: " + ans)
|
264 |
create_file(generate_filename(text,"md"),text,ans)
|
265 |
st.session_state.chat_history.append({"user":text,"claude":ans})
|
266 |
+
return ans
|
267 |
+
|
268 |
+
def create_zip_of_files(md_files, mp3_files):
|
269 |
+
# Exclude README.md if present
|
270 |
+
md_files = [f for f in md_files if os.path.basename(f).lower() != 'readme.md']
|
271 |
|
|
|
|
|
|
|
272 |
all_files = md_files + mp3_files
|
273 |
+
if not all_files:
|
274 |
+
return None
|
275 |
+
# Build a descriptive name from file stems
|
276 |
+
stems = [os.path.splitext(os.path.basename(f))[0] for f in all_files]
|
277 |
+
# Join them
|
278 |
+
joined = "_".join(stems)
|
279 |
+
# Truncate if too long
|
280 |
+
if len(joined) > 50:
|
281 |
+
joined = joined[:50] + "_etc"
|
282 |
+
zip_name = f"{joined}.zip"
|
283 |
with zipfile.ZipFile(zip_name,'w') as z:
|
284 |
for f in all_files:
|
285 |
z.write(f)
|
|
|
292 |
else:
|
293 |
return f'<audio controls style="width:{w};"><source src="data:audio/mpeg;base64,{d}" type="audio/mpeg"></audio>'
|
294 |
|
295 |
+
def load_files_for_sidebar():
|
296 |
+
# Gather all md and mp3 files
|
297 |
+
md_files = glob.glob("*.md")
|
298 |
+
mp3_files = glob.glob("*.mp3")
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
299 |
|
300 |
+
# Exclude README.md from listings
|
301 |
+
md_files = [f for f in md_files if os.path.basename(f).lower() != 'readme.md']
|
302 |
+
|
303 |
+
files_by_ext = defaultdict(list)
|
304 |
+
if md_files: files_by_ext['md'].extend(md_files)
|
305 |
+
if mp3_files: files_by_ext['mp3'].extend(mp3_files)
|
306 |
+
|
307 |
+
# Sort each extension group by modification time descending
|
308 |
+
for ext in files_by_ext:
|
309 |
+
files_by_ext[ext].sort(key=lambda x: os.path.getmtime(x), reverse=True)
|
310 |
+
return files_by_ext
|
311 |
+
|
312 |
+
def display_file_manager_sidebar(files_by_ext):
|
313 |
+
st.sidebar.title("π΅ Audio & Document Manager")
|
314 |
+
|
315 |
+
md_files = files_by_ext.get('md', [])
|
316 |
+
mp3_files = files_by_ext.get('mp3', [])
|
317 |
+
|
318 |
+
# Buttons to delete all except README.md (already excluded)
|
319 |
+
col_del = st.sidebar.columns(3)
|
320 |
+
with col_del[0]:
|
321 |
+
if st.button("π Del All MD"):
|
322 |
+
for f in md_files:
|
323 |
+
os.remove(f)
|
324 |
+
st.session_state.should_rerun = True
|
325 |
+
with col_del[1]:
|
326 |
+
if st.button("π Del All MP3"):
|
327 |
+
for f in mp3_files:
|
328 |
+
os.remove(f)
|
329 |
+
st.session_state.should_rerun = True
|
330 |
+
with col_del[2]:
|
331 |
+
if st.button("β¬οΈ Zip All"):
|
332 |
+
# create a zip of all md and mp3 except README.md
|
333 |
+
z = create_zip_of_files(md_files, mp3_files)
|
334 |
+
if z:
|
335 |
+
st.sidebar.markdown(get_download_link(z),unsafe_allow_html=True)
|
336 |
+
|
337 |
+
ext_counts = {ext: len(files) for ext, files in files_by_ext.items()}
|
338 |
+
sorted_ext = sorted(files_by_ext.keys(), key=lambda x: ext_counts[x], reverse=True)
|
339 |
+
|
340 |
+
# Display files with actions
|
341 |
+
for ext in sorted_ext:
|
342 |
+
emoji = FILE_EMOJIS.get(ext, "π¦")
|
343 |
+
count = len(files_by_ext[ext])
|
344 |
+
with st.sidebar.expander(f"{emoji} {ext.upper()} Files ({count})", expanded=True):
|
345 |
+
for f in files_by_ext[ext]:
|
346 |
+
fname = os.path.basename(f)
|
347 |
+
ctime = datetime.fromtimestamp(os.path.getmtime(f)).strftime("%Y-%m-%d %H:%M:%S")
|
348 |
+
# Show filename and buttons in a row
|
349 |
+
st.write(f"**{fname}** - {ctime}")
|
350 |
+
file_buttons_col = st.columns([1,1,1])
|
351 |
+
with file_buttons_col[0]:
|
352 |
+
if st.button("πView", key="view_"+f):
|
353 |
+
st.session_state.viewing_file = f
|
354 |
+
st.session_state.viewing_file_type = ext
|
355 |
+
# No rerun needed, just set state
|
356 |
+
with file_buttons_col[1]:
|
357 |
+
if ext == "md":
|
358 |
+
if st.button("βοΈEdit", key="edit_"+f):
|
359 |
+
st.session_state.editing_file = f
|
360 |
+
st.session_state.edit_new_name = fname.replace(".md","")
|
361 |
+
st.session_state.edit_new_content = open(f,'r',encoding='utf-8').read()
|
362 |
+
st.session_state.should_rerun = True
|
363 |
+
with file_buttons_col[2]:
|
364 |
+
if st.button("πDel", key="del_"+f):
|
365 |
+
os.remove(f)
|
366 |
+
st.session_state.should_rerun = True
|
367 |
+
|
368 |
+
# If editing an md file
|
369 |
+
if st.session_state.editing_file and os.path.exists(st.session_state.editing_file):
|
370 |
+
st.sidebar.subheader(f"Editing: {os.path.basename(st.session_state.editing_file)}")
|
371 |
+
st.session_state.edit_new_name = st.sidebar.text_input("New name (no extension):", value=st.session_state.edit_new_name)
|
372 |
+
st.session_state.edit_new_content = st.sidebar.text_area("Content:", st.session_state.edit_new_content, height=200)
|
373 |
+
c1,c2 = st.sidebar.columns(2)
|
374 |
+
with c1:
|
375 |
+
if st.button("Save"):
|
376 |
+
old_path = st.session_state.editing_file
|
377 |
+
new_path = st.session_state.edit_new_name + ".md"
|
378 |
+
if new_path != os.path.basename(old_path):
|
379 |
+
os.rename(old_path, new_path)
|
380 |
+
with open(new_path,'w',encoding='utf-8') as f:
|
381 |
+
f.write(st.session_state.edit_new_content)
|
382 |
+
st.session_state.editing_file = None
|
383 |
+
st.session_state.should_rerun = True
|
384 |
+
with c2:
|
385 |
+
if st.button("Cancel"):
|
386 |
+
st.session_state.editing_file = None
|
387 |
+
st.session_state.should_rerun = True
|
388 |
|
389 |
def main():
|
390 |
st.sidebar.markdown("### π²BikeAIπ Multi-Agent Research AI")
|
391 |
tab_main = st.radio("Action:",["π€ Voice Input","πΈ Media Gallery","π Search ArXiv","π File Editor"],horizontal=True)
|
392 |
+
|
393 |
model_choice = st.sidebar.radio("AI Model:", ["Arxiv","GPT-4o","Claude-3","GPT+Claude+Arxiv"], index=0)
|
394 |
|
395 |
+
# Main Input Component
|
396 |
mycomponent = components.declare_component("mycomponent", path="mycomponent")
|
397 |
val = mycomponent(my_input_value="Hello")
|
398 |
if val:
|
|
|
435 |
if q:
|
436 |
q = q.strip()
|
437 |
if q and st.button("Run ArXiv Query"):
|
438 |
+
perform_ai_lookup(q, vocal_summary=vocal_summary, extended_refs=extended_refs, titles_summary=titles_summary)
|
|
|
439 |
|
440 |
elif tab_main == "π€ Voice Input":
|
441 |
st.subheader("π€ Voice Recognition")
|
|
|
484 |
for i,f in enumerate(imgs):
|
485 |
with cols[i%c]:
|
486 |
st.image(Image.open(f),use_container_width=True)
|
487 |
+
if st.button(f"π Analyze {os.path.basename(f)}", key=f"analyze_{f}"):
|
488 |
a = process_image(f,"Describe this image.")
|
489 |
st.markdown(a)
|
490 |
else:
|
|
|
495 |
for v in vids:
|
496 |
with st.expander(f"π₯ {os.path.basename(v)}"):
|
497 |
st.markdown(get_media_html(v,"video"),unsafe_allow_html=True)
|
498 |
+
if st.button(f"Analyze {os.path.basename(v)}", key=f"analyze_{v}"):
|
499 |
a = process_video_with_gpt(v,"Describe video.")
|
500 |
st.markdown(a)
|
501 |
else:
|
|
|
509 |
with open(st.session_state.current_file,'w',encoding='utf-8') as f:
|
510 |
f.write(new_text)
|
511 |
st.success("Updated!")
|
512 |
+
st.session_state.should_rerun = True
|
513 |
else:
|
514 |
st.write("Select a file from the sidebar to edit.")
|
515 |
|
516 |
+
# After main content, load files and display in sidebar
|
517 |
+
files_by_ext = load_files_for_sidebar()
|
518 |
+
display_file_manager_sidebar(files_by_ext)
|
519 |
+
|
520 |
+
# If viewing a file, show its content below (in the main area)
|
521 |
+
if st.session_state.viewing_file and os.path.exists(st.session_state.viewing_file):
|
522 |
+
st.write("---")
|
523 |
+
st.write(f"**Viewing File:** {os.path.basename(st.session_state.viewing_file)}")
|
524 |
+
if st.session_state.viewing_file_type == "md":
|
525 |
+
# show markdown
|
526 |
+
content = open(st.session_state.viewing_file,'r',encoding='utf-8').read()
|
527 |
+
st.markdown(content)
|
528 |
+
elif st.session_state.viewing_file_type == "mp3":
|
529 |
+
# show audio
|
530 |
+
st.audio(st.session_state.viewing_file)
|
531 |
+
# Optionally add a "Close View" button
|
532 |
+
if st.button("Close View"):
|
533 |
+
st.session_state.viewing_file = None
|
534 |
+
st.session_state.viewing_file_type = None
|
535 |
+
|
536 |
+
# If user-triggered changes happened, rerun once at the end
|
537 |
+
if st.session_state.should_rerun:
|
538 |
+
st.session_state.should_rerun = False
|
539 |
+
st.rerun()
|
540 |
|
541 |
if __name__=="__main__":
|
542 |
main()
|