KonstantinosKakkavas commited on
Commit
ae9f7ef
1 Parent(s): 8a532ab

Update app.py

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Files changed (1) hide show
  1. app.py +10 -31
app.py CHANGED
@@ -1,37 +1,16 @@
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- #Hello! It seems like you want to import the Streamlit library in Python. Streamlit is a powerful open-source framework used for building web applications with interactive data visualizations and machine learning models. To import Streamlit, you'll need to ensure that you have it installed in your Python environment.
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- #Once you have Streamlit installed, you can import it into your Python script using the import statement,
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-
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  import streamlit as st
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- from langchain.llms import OpenAI
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-
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- #Function to return the response
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- def load_answer(question):
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- llm = OpenAI(model_name="text-davinci-003",temperature=0)
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- answer=llm(question)
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- return answer
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-
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-
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- #App UI starts here
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- st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
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- st.header("LangChain Demo")
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-
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- #Gets the user input
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- def get_text():
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- input_text = st.text_input("You: ", key="input")
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- return input_text
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-
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-
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- user_input=get_text()
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- response = load_answer(user_input)
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-
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- submit = st.button('Generate')
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-
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- #If generate button is clicked
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- if submit:
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- st.subheader("Answer:")
 
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- st.write(response)
 
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+ # Application that will help the Resume Screener will llms to find the best fits for the job
 
 
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  import streamlit as st
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+ def main():
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+ st.set_page_config(page_title="Resume Screening Assistance")
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+ st.title('HR Resume Screening Assistance')
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+ st.subheader('I can help you in resume screening process')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ job_description = st.text_area("Enter your job description", key="1")
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+ document_count = st.text_area("No.of 'Resumes' to return", key="2")
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+ # Upload the Resumes (pdf files)
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+ pdf = st.file_uploader("Upload resumes here, only PDF files allowed", type=["pdf"], accept_multiple_files=True)
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+ submit_button = st.button("Help me with the analysis")