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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +42 -38
src/streamlit_app.py
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import streamlit as st
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""
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points)
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theta = 2 * np.pi * num_turns * indices
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radius = indices
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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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import os
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os.environ["TRANSFORMERS_OFFLINE"] = "1"
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os.environ["HF_HUB_OFFLINE"] = "1"
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import streamlit as st
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from PIL import Image
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import os
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from models.imageCaptioning import generateCaption
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from models.storyGeneration import generateStory
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st.set_page_config(page_title="Image2Story Generator", layout="centered")
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st.title("Image2Story Generator")
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st.write("Upload your Image and let us generate a Story for you")
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#create upload folder if not there
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os.makedirs("uploads", exist_ok=True)
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#Upload your file
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uploaded_file = st.sidebar.file_uploader("Upload Your Image", type= ["jpg" , "jpeg" , "png" , "webp"])
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if uploaded_file:
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image = Image.open(uploaded_file).convert("RGB")
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image_path = os.path.join("uploads",uploaded_file.name)
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image.save(image_path)
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# st.image(image, caption="uploaded image" , use_container_width=True)
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# story_style = st.sidebar.selectbox("Choose Story Style" , ["William Shakespeare" , "Leo Tolstoy", "Charles Dickens" , "Haruki Murakami" , "J.K. Rowling" , "Stephen King"])
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with st.spinner("Generating Captions..."):
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captions = generateCaption(image_path)
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st.success(f"The image is of : {captions}")
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with st.spinner("Generating Story..."):
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story = generateStory(captions)
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st.markdown("Generated Story")
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st.write(story)
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