Add application file

app.py

@@ -0,0 +1,43 @@
+# app.py
+import streamlit as st
+import pdfplumber
+import ats
+import docx
+
+st.set_page_config(page_title='CareerEnchanter', page_icon='🤖', layout='centered')
+
+st.title("Enchant your Career")
+
+uploaded_file = st.file_uploader("Choose a document file", type=["pdf", "txt", "csv", "docx"])
+text = ''
+if uploaded_file is not None:
+    st.write("File uploaded successfully!")
+
+    file_extension = uploaded_file.name.split(".")[-1]
+
+    if file_extension == "pdf":
+        with pdfplumber.open(uploaded_file) as pdf:
+            pages = pdf.pages
+            for page in pages:
+                text = page.extract_text()
+
+    elif file_extension == "txt":
+        text = uploaded_file.getvalue().decode("utf-8")
+    
+    elif file_extension == "docx":
+        docx_text = docx.Document(uploaded_file)
+        full_text = []
+        for para in docx_text.paragraphs:
+            full_text.append(para.text)
+        text = "\n".join(full_text)
+
+st.text_area("Extracted From Document",value=text)
+st.session_state['doc_text'] = text
+
+col1, col2, col3 = st.columns([3, 3,3])
+option = st.radio("I want to use: ", ("ATS"), horizontal=True)
+
+
+if option == "ATS":
+    ats.run_ats(st.session_state['doc_text'])
+    

ats.py

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+import os
+import pyperclip
+import streamlit as st
+from dotenv import load_dotenv
+import speech_recognition as sr
+import google.generativeai as genai
+from langchain.prompts import PromptTemplate
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+
+class ATS(object):
+    def __init__(self, title="ATS Tracking System"):
+        self.title = title
+
+    @staticmethod
+    def model():
+        genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+        return ChatGoogleGenerativeAI(model="gemini-pro")
+
+    @staticmethod
+    def get_gemini_response(llm, input_text, doc, template, info=''):
+        formated_prompt = template.format(doc=doc, input_text=input_text)
+        response = llm.invoke(formated_prompt)
+        return response.content
+        # return formated_prompt
+
+    @staticmethod
+    def copy_text(answer, copy_button=False):
+        pyperclip.copy(answer)
+        if copy_button:
+            st.toast("Text copied to clipboard!", icon="📋")
+
+    @staticmethod
+    def record_audio():
+        r = sr.Recognizer()
+        with st.spinner("Recording..."):
+            with sr.Microphone() as source:
+                r.adjust_for_ambient_noise(source)
+                with st.spinner("Say Something..."):
+                    audio = r.listen(source, timeout=5)
+            with st.spinner("Processing..."):
+                try:
+                    text = r.recognize_google(audio)
+                    st.session_state['input_text'] = text
+                    return text
+                except sr.UnknownValueError:
+                    st.write("Sorry, I could not understand what you said. Please try again or write in text box.")
+                    return ""
+                except sr.RequestError as e:
+                    st.write(f"Could not request results; {e}")
+                    return ""
+
+    @staticmethod
+    def input_state(input_text):
+        if isinstance(input_text, str):
+            st.session_state['input_text'] = input_text
+
+
+def run_ats(doc=''):
+    load_dotenv()
+    ats = ATS()
+    st.header(ats.title + " 🤖", divider='rainbow')
+    input_text=st.text_area("Job Description: ",key="input")
+    # uploaded_file=st.file_uploader("Upload your resume(PDF)...",type=["pdf"])
+
+
+    # if uploaded_file is not None:
+        # st.write("PDF Uploaded Successfully")
+        
+
+    with st.sidebar:
+        st.title(' :blue[_AI Generated ATS] 🤖')
+        st.subheader('Parameters')
+        
+        with st.spinner("Loading Model..."):
+            llm = ats.model()
+    submit1 = st.button("Tell Me About the Resume")
+
+    # submit2 = st.button("How Can I Improvise my Skills")
+
+    submit3 = st.button("Percentage match")
+
+    input_prompt1 = """
+    You are an experienced Technical Human Resource Manager,your task is to review the provided resume against the job description. 
+    Please share your professional evaluation on whether the candidate's profile aligns with the role. 
+    Highlight the strengths and weaknesses of the applicant in relation to the specified job requirements.
+
+    Job Description: {input_text}
+    Resume: {doc}
+    """
+
+    input_prompt3 = """
+    You are an skilled ATS (Applicant Tracking System) scanner with a deep understanding of data science and ATS functionality, 
+    your task is to evaluate the resume against the provided job description. give me the percentage of match if the resume matches
+    the job description. First the output should come as percentage and then keywords missing and last final thoughts.
+
+    Job Description: {input_text}
+    Resume: {doc}
+    """
+
+    if submit1:
+        if doc is not None:
+            response=ats.get_gemini_response(llm=llm,template=input_prompt1,doc=doc,input_text=input_text)
+            st.subheader("The Repsonse is")
+            st.write(response)
+        else:
+            st.write("Please uplaod the resume")
+
+    elif submit3:
+        if doc is not None:
+            response=ats.get_gemini_response(llm=llm,template=input_prompt3,doc=doc,input_text=input_text)
+            st.subheader("The Repsonse is")
+            st.write(response)
+        else:
+            st.write("Please uplaod the resume")
+
+if __name__ == "__main__":
+    run_ats()

requirements.txt

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+google-generativeai
+langchain-google-genai
+langchain
+streamlit
+pyperclip
+huggingface_hub
+python-dotenv
+SpeechRecognition
+PyAudio
+pdfplumber
+python-docx