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Update app.py
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app.py
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@@ -1,12 +1,10 @@
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import os
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import streamlit as st
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from transformers import pipeline
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from datasets import load_dataset
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from huggingface_hub.inference_api import InferenceApi
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dataset = load_dataset("merve/poetry", streaming=True)
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df = pd.DataFrame.from_dict(dataset["train"])
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pipe = pipeline("sentiment-analysis")
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text1 = st.text_area("enter some text 111")
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res = inference(inputs=text2)
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st.json(res)
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# import streamlit as st
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# # adding the text that will show in the text box as default
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import os
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import streamlit as st
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import pandas as pd
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from transformers import pipeline
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from datasets import load_dataset
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from huggingface_hub.inference_api import InferenceApi
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pipe = pipeline("sentiment-analysis")
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text1 = st.text_area("enter some text 111")
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res = inference(inputs=text2)
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st.json(res)
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dataset = load_dataset("merve/poetry", streaming=True)
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df = pd.DataFrame.from_dict(dataset["train"])
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st.write(df)
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# import streamlit as st
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# # adding the text that will show in the text box as default
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