Update requirements.txt

requirements.txt

@@ -1,42 +1,69 @@
-streamlit
-# 🌟 Streamlit shines - "st.title('Hello, World!')" kicks off your app with flair!
-# 🎨 Paint the UI - "st.button('Click me!')" adds interactive magic buttons!
-# 📊 Graph it up - "st.line_chart(data)" turns numbers into visual superpowers!
-# 🖼️ Show off - "st.image(img)" flashes your pics with pizzazz!
-
-asyncio
-# ⏳ Async awaits - "await asyncio.sleep(1)" pauses without blocking your vibe!
-# 🚀 Task master - "asyncio.create_task(func())" launches parallel action heroes!
-# 🔄 Loop de loop - "asyncio.run(main())" runs your async empire smoothly!
-
-nest-asyncio
-# 🔄 Loop savior - "nest_asyncio.apply()" fixes nested async woes with a wink!
-# 🚀 Run again - "asyncio.run(main())" now works inside Streamlit’s loop party!
-# ⏲️ Time bender - "nest_asyncio.apply(); await asyncio.sleep(2)" bends time effortlessly!
-
-websockets
-# 🌐 Web chat zap - "async with websockets.connect('ws://...')" links chat galaxies!
-# 📡 Send it fast - "await websocket.send('Hi!')" beams messages at lightspeed!
-# 🎧 Listen up - "msg = await websocket.recv()" catches incoming chatter!
-
-edge-tts
-# 🎙️ Voice boom - "await edge_tts.Communicate('Hello', 'en-US-Aria').save('out.mp3')" speaks your mind!
-# 🔊 Tune tweak - "edge_tts.Communicate('Yo', 'en-GB-Ryan', rate='+10%')" speeds up the groove!
-# 🗣️ Echo star - "await communicate.save('file.mp3')" saves your vocal superpower!
-
-audio-recorder-streamlit
-# 🎤 Mic drop - "audio = audio_recorder()" grabs your voice with style!
-# 🔉 Sound bite - "if audio: st.audio(audio)" plays back your epic words!
-# 🗨️ Chat blast - "text = process(audio); st.write(text)" turns speech to text magic!
-
-pillow
-# 🖼️ Pic power - "img = Image.open('cool.png')" unleashes image wizardry!
-# 🎨 Color swap - "img.convert('RGB')" transforms visuals like a pro!
-# 💾 Save snap - "img.save('new.jpg')" locks your art in pixel glory!
-
-streamlit-paste-button
-# 📋 Paste magic - "result = paste_image_button('Paste')" snags clipboard images with flair!
-# 🖼️ Show it off - "if result.image_data: st.image(result.image_data)" flashes pasted pics!
-# 💾 Save it quick - "filename = save_pasted_image(result.image_data)" names and stores your art!
-
-pyPDF2
+streamlit==1.31.0
+# 🎨 Build interactive web apps: st.title("Hello"), st.button("Click"), st.image("pic.png")
+# 📊 Display data: st.dataframe(df), st.plotly_chart(fig), st.write("Text")
+# 🚀 Create UI: st.slider("Range", 0, 100), st.selectbox("Choose", options), st.file_uploader("Upload")
+
+asyncio==3.4.3
+# 🔄 Run async tasks: await asyncio.sleep(1), asyncio.run(main()), asyncio.gather(*tasks)
+# 🌐 Handle coroutines: async def fetch(), await coro(), asyncio.create_task(func())
+# ⏳ Manage event loops: loop = asyncio.get_event_loop(), loop.run_until_complete(), asyncio.ensure_future()
+
+websockets==12.0
+# 🌐 WebSocket server: async with websockets.serve(handler, "localhost", 8765): await asyncio.Future()
+# 📡 Client connect: async with websockets.connect("ws://localhost:8765") as ws: await ws.send("Hi")
+# 🔊 Real-time comms: async for msg in ws: print(msg), await ws.recv(), ws.send("Response")
+
+pillow==10.2.0
+# 🖼️ Load images: img = Image.open("file.png"), img.resize((100, 100)), img.save("out.png")
+# 🎨 Process images: img.convert("RGB"), ImageDraw.Draw(img).text((10, 10), "Hello"), img.rotate(90)
+# 📸 Manipulate: img.crop((0, 0, 50, 50)), img.filter(ImageFilter.BLUR), img.thumbnail((50, 50))
+
+edge_tts==6.1.12
+# 🎙️ Text-to-speech: comm = edge_tts.Communicate("Hello", "en-US-AriaNeural"), await comm.save("out.mp3")
+# 🔊 Customize voice: edge_tts.Communicate(text, voice="en-GB-SoniaNeural", rate="+10%"), await comm.save()
+# 📢 Generate audio: async def speak(text): await edge_tts.Communicate(text, "en-US-GuyNeural").save("file.mp3")
+
+audio-recorder-streamlit==0.0.8
+# 🎤 Record audio: audio_bytes = audio_recorder(), st.audio(audio_bytes, format="audio/wav")
+# 🔉 Capture voice: if audio_bytes: process_audio(audio_bytes), st.write("Recording...")
+# 📥 Save recording: with open("recording.wav", "wb") as f: f.write(audio_recorder())
+
+nest_asyncio==1.6.0
+# 🔧 Fix nested loops: nest_asyncio.apply(), asyncio.run(main()), loop.run_until_complete(coro())
+# 🌐 Enable async in sync: nest_asyncio.apply() before asyncio.run() in Jupyter/Streamlit
+# ⏳ Patch event loop: import nest_asyncio; nest_asyncio.apply() for multiple event loops
+
+streamlit-paste-button==0.1.1
+# 📋 Paste images: result = paste_image_button("Paste"), if result.image_data: st.image(result.image_data)
+# ✂️ Capture clipboard: paste_data = paste_image_button("Click"), st.write(paste_data.text_data)
+# 🖼️ Process paste: if paste_image_button("Paste").image_data: save_image(result.image_data)
+
+pypdf2==3.0.1
+# 📜 Read PDFs: reader = PdfReader("file.pdf"), text = reader.pages[0].extract_text(), num_pages = len(reader.pages)
+# 📝 Extract text: for page in PdfReader("doc.pdf").pages: st.write(page.extract_text())
+# 📚 Parse PDF: pdf = PdfReader(open("file.pdf", "rb")), st.write(pdf.metadata), page_count = len(pdf.pages)
+
+anthropic==0.34.2
+# 🤖 AI responses: client = anthropic.Anthropic(api_key="key"), resp = client.messages.create(model="claude-3", messages=[...])
+# 📢 Claude chat: msg = client.messages.create(model="claude-3-sonnet", max_tokens=1000, messages=[{"role": "user", "content": "Hi"}])
+# 🔍 Query AI: response = client.completions.create(model="claude-2", prompt="Hello", max_tokens_to_sample=512)
+
+openai==1.45.0
+# 🧠 GPT queries: client = openai.OpenAI(api_key="key"), resp = client.chat.completions.create(model="gpt-4", messages=[...])
+# 📝 Generate text: completion = openai.Completion.create(model="text-davinci-003", prompt="Write a story", max_tokens=100)
+# 🔊 AI chat: chat = client.chat.completions.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello"}])
+
+gradio-client==1.3.0
+# 🌐 Call Gradio APIs: client = Client("user/repo"), result = client.predict("input", api_name="/predict")
+# 📡 Remote inference: prediction = Client("awacke1/Arxiv-Paper-Search").predict("query", 10, "search", "model")
+# 🔍 Fetch results: resp = client.predict(param1, param2, api_name="/endpoint"), st.write(resp)
+
+python-dotenv==1.0.1
+# 🔑 Load env vars: load_dotenv(), api_key = os.getenv("API_KEY"), st.write(os.getenv("SECRET"))
+# 🌍 Config from .env: from dotenv import load_dotenv; load_dotenv(); db_url = os.getenv("DB_URL")
+# 📋 Secure secrets: load_dotenv(".env"), token = os.getenv("TOKEN"), client = SomeClient(token)
+
+streamlit-marquee==0.1.0
+# 🎥 Scrolling text: streamlit_marquee(content="Hello", background="#000", color="#FFF", font-size="20px")
+# 📣 Dynamic marquee: streamlit_marquee(content="News", animationDuration="10s", width="100%")
+# 🌈 Styled ticker: streamlit_marquee(content="Update", background="#1E1E1E", lineHeight="30px")