Create requirements.txt
Browse files- requirements.txt +24 -0
requirements.txt
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streamlit
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# π - Build interactive apps. Ex: st.write("Hello, AI!") β Displays text | Web magic unleashed! β¨
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# π - Visualize data easily. Ex: st.line_chart({"data": [1, 2, 3]}) β Plots line | Graphs in a snap! π
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# πΌοΈ - Show Mermaid graphs. Ex: st.mermaid("graph TD A-->B") β Renders diagram | Visualize like a pro! π§©
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transformers
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# π€ - Generate text fast. Ex: pipeline("text-generation")("Tell me a story") β Story string | Tales on demand! π
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# π - Analyze sentiment. Ex: pipeline("sentiment-analysis")("I love AI") β Positive dict | Feelings decoded! π
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# π§ - Load smart models. Ex: AutoModel.from_pretrained("bert-base-uncased") β BERT model | NLP power boost! β‘
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torch
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# π₯ - Crunch numbers. Ex: torch.tensor([1.0, 2.0]) β Tensor([1., 2.]) | Math made fiery! π’
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# π οΈ - Build neural nets. Ex: torch.nn.Linear(10, 5) β Linear layer | Deep learning bricks! ποΈ
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# π - Train models. Ex: torch.optim.Adam(model.parameters(), lr=0.001) β Optimizer | Learning takes flight! π
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pillow
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# πΈ - Open images. Ex: Image.open("photo.jpg") β PIL Image | Picture perfect start! πΌοΈ
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# βοΈ - Resize visuals. Ex: Image.open("photo.jpg").resize((100, 100)) β Smaller image | Crop it quick! π
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# π¨ - Edit pixels. Ex: ImageDraw.Draw(img).text((10, 10), "Hi") β Annotated image | Artistry in code! ποΈ
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pandas
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# π - Load data frames. Ex: pd.read_csv("data.csv") β DataFrame | Data wrangling begins! πΌ
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# π - Filter rows. Ex: df[df["age"] > 30] β Filtered DataFrame | Search with ease! π΅οΈ
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# π - Plot insights. Ex: df.plot(kind="bar", x="name") β Bar chart | Visualize trends! π
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