Spaces:
Sleeping
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test
Browse files
app.py
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import streamlit as st
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from
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st.title("Toxic Tweets Analyzer")
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if
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else:
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import streamlit as st
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from transformers import pipeline
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from PIL import Image
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pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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st.title("Hot Dog? Or Not?")
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file_name = st.file_uploader("Upload a hot dog candidate image")
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if file_name is not None:
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col1, col2 = st.columns(2)
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image = Image.open(file_name)
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col1.image(image, use_column_width=True)
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predictions = pipeline(image)
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col2.header("Probabilities")
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for p in predictions:
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col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
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# import streamlit as st
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# from tranformers import pipeline
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# pipe = pipeline(task="sentiment-analysis")
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# st.title("Toxic Tweets Analyzer")
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# text = st.text_area("Enter your tweet here, or submit to test the default tweets")
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# if text == "Enter your tweet here, or submit to test the default tweets":
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# data = [
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# "PICKLE YE",
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# "I'm nice at ping pong"
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# "My eyes are now wide open and now realize I've been used to spread messages I don't believe in. I am distancing myself from politics and completely focusing on being creative !!!",
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# "There are so many lonely emojis",
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# ]
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# st.json([pipe(d) for d in data])
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# else:
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# out = pipe(text)
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# st.json(out)
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