requirements.txt

# requirements.txt

streamlit>=1.31.0         # Core web app framework - st.write("Hello"), st.button("Click"), st.selectbox("Choose", opts)
Pillow>=10.0.0           # Image processing - Image.open("pic.jpg"), img.resize((100,100)), img.save("out.png")
plotly>=5.18.0           # Interactive plots - px.scatter(df, x="a", y="b"), px.line(df), fig.show()
opencv-python>=4.9.0     # Computer vision - cv2.imread("img.jpg"), cv2.resize(img, (w,h)), cv2.imwrite("out.jpg", img)
moviepy>=1.0.3           # Video editing - VideoFileClip("vid.mp4"), clip.resize(0.5), clip.write_videofile("out.mp4")
python-dotenv>=1.0.0     # Env vars - load_dotenv(), os.getenv("KEY"), dotenv_values()
pytz>=2024.1             # Timezones - timezone('US/Pacific'), dt.astimezone(tz), utc.localize(dt) 
requests>=2.31.0         # HTTP client - requests.get(url), r.json(), r.raise_for_status()
openai>=1.12.0           # OpenAI API - client.chat.complete(), client.images.create(), client.audio.transcribe()
beautifulsoup4>=4.12.3   # HTML parse - BeautifulSoup(html), soup.find("div"), soup.find_all("p")
PyPDF2>=3.0.1            # PDF tools - PdfReader("doc.pdf"), reader.pages[0].extract_text(), writer.write(f)
textract>=1.6.5          # Text extract - process("doc.pdf"), process("doc.docx"), process("text.txt")
gradio-client>=0.10.1    # Gradio API - client.predict(text), interface.launch(), client.submit(inputs) 
huggingface-hub>=0.20.3  # HF models - from_pretrained("model"), list_models(), push_to_hub()
audio-recorder-streamlit>=0.0.8  # Audio rec - audio_recorder(), get_audio_data(), save_recording()
xmltodict>=0.13.0        # XML parse - parse(xml_str), unparse(dict_obj), parse(f.read())
mistune>=3.0.2           # Markdown - markdown(text), escape(html), renderer.render(tokens)
python-docx>=1.0.1       # Word docs - Document(), doc.add_paragraph(), doc.save("out.docx")
faiss-cpu>=1.7.4         # Vector DB - IndexFlatL2(d), index.add(vecs), D,I = index.search(q,k)
scikit-learn>=1.4.0      # ML tools - fit(X,y), predict(X), train_test_split(X,y)
langchain>=0.1.8         # LLM chain - load_chain(), chain.run(input), memory.save_context()
tiktoken>=0.6.0          # Tokens - encode(text), decode(tokens), num_tokens = len(tokens)
anthropic>=0.18.1        # Claude API - client.messages.create(), client.complete() 
extra-streamlit-components>=0.1.60  # UI extras - st_marquee(), st_tooltip(), st_modal()
edge-tts>=6.1.12         # TTS engine - communicate.run(text), save_to_file(), stream_to_speaker()
streamlit-marquee>=0.0.2 # Scroll text - streamlit_marquee(text), set_speed(), set_style()