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JosueElias
commited on
Commit
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f6e7168
1
Parent(s):
cd4d499
Adding global exception.
Browse files- app.py +39 -35
- my_dataset.py +3 -7
app.py
CHANGED
@@ -1,41 +1,45 @@
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import streamlit as st
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from mi_clase import pipeline
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st.title("Ask your scientific question!")
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expected_format = "What is color?\nA)Is a name.\nB)Is something horrible.\nC)I don't know.\nD)You should ask someone else.\nE)Ask in a pyshic book."
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txt = st.text_area(
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"follow this format while making your question:",
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expected_format)
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try:
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try:
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answer = pipeline.give_the_best_answer(mi_dict)
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st.write(mi_dict)
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st.write(answer)
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except Exception as e:
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st.error("
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st.error(e)
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except:
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st.error("
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st.error(e)
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try:
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import streamlit as st
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from mi_clase import pipeline
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st.title("Ask your scientific question!")
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expected_format = "What is color?\nA)Is a name.\nB)Is something horrible.\nC)I don't know.\nD)You should ask someone else.\nE)Ask in a pyshic book."
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txt = st.text_area(
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"follow this format while making your question:",
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expected_format)
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try:
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lista = txt.split("E)")
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e = lista[1]
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lista = lista[0].split("D)")
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d = lista[1]
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lista = lista[0].split("C)")
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c = lista[1]
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lista = lista[0].split("B)")
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b = lista[1]
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lista = lista[0].split("A)")
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a = lista[1]
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q = lista[0]
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mi_dict= {
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"prompt":q,
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"A":a,
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"B":b,
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"C":c,
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"D":d,
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"E":e
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}
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try:
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answer = pipeline.give_the_best_answer(mi_dict)
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st.write(mi_dict)
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st.write(answer)
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except Exception as e:
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st.error("something bad happend to the model")
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st.error(e)
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except Exception as e:
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st.error("Your question doesn't have the required format. Please, correct it.")
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st.error(e)
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except Exception as e:
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st.error("error at the beggining")
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st.error(e)
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my_dataset.py
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'''
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load dataset:
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https://huggingface.co/docs/datasets/loading#hugging-face-hub
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'''
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from datasets import load_from_disk, Dataset
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from huggingface_hub import hf_hub_download
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from datasets import load_dataset
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import faiss
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# load wikipedia dataset
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datasetx = load_dataset("JosueElias/pipeline_dataset2")
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# load faiss file and get route of file
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path2 = hf_hub_download(repo_id="JosueElias/pipeline_faiss", filename="faiss.index", repo_type="dataset")
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# save wikipedia dataset locally
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datasetx.save_to_disk("./directory")
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# delete variable to have more memory space
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del datasetx
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from datasets import load_from_disk, Dataset
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from huggingface_hub import hf_hub_download
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from datasets import load_dataset
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import faiss
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# load wikipedia dataset https://huggingface.co/docs/datasets/loading#hugging-face-hub
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datasetx = load_dataset("JosueElias/pipeline_dataset2")
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# load faiss file and get route of file https://huggingface.co/docs/huggingface_hub/guides/download#from-latest-version
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path2 = hf_hub_download(repo_id="JosueElias/pipeline_faiss", filename="faiss.index", repo_type="dataset")
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# save wikipedia dataset locally https://huggingface.co/docs/datasets/process#save
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datasetx.save_to_disk("./directory")
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# delete variable to have more memory space
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del datasetx
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