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LangChainConnect.py

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+import os
+from langchain_groq import ChatGroq
+from langchain_core.prompts import PromptTemplate
+from langchain_core.output_parsers import JsonOutputParser
+from langchain_community.document_loaders import WebBaseLoader
+from langchain_core.exceptions import OutputParserException
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+class LangChainConnect:
+    def __init__(self):
+        self.llm=ChatGroq(
+    model="llama3-8b-8192",
+    temperature=0,
+    groq_api_key=os.getenv("GROQ_API_KEY"))
+
+
+    def extract_job_content(self, job_text:str)->dict:
+        """extract the job content in a json format from the url that was passed in"""
+        prompt_extract = PromptTemplate.from_template(
+            """
+            ###SCRAPED TEXT FROM WEBSITE: {job_description}
+            ###INSTRUCTION: The scarped text is a job posting. Extract the title and skills needed for this job in a JSON format, include company name from the link in the url as a field too. 
+            ###VALID JSON (NO PREAMBLE)""")
+        chain_news_extract = prompt_extract | self.llm
+        response = chain_news_extract.invoke(input={'job_description': job_text})
+        try:
+            json_parser = JsonOutputParser()
+            json_content = json_parser.parse(response.content)
+        except OutputParserException:
+            raise OutputParserException(f"content cannot be parsed {response.content}")
+        return json_content
+
+
+    def write_cover_letter(self,job_content:dict, profile:str, name:str, experience:str, job_link:str, pdf_resume:list)->str:
+        """create the cover letter prompting with the job description, pdf resume and relevant information like name and experience"""
+        prompt_email = PromptTemplate.from_template("""
+        ###JOB DESCRIPTION:
+        {job_description}
+        ###INSTRUCTION:
+        Add a subject line for this email
+        You are {name} a Machine Learning Engineer with {experience} of experience looking for better advancements in the careers. 
+        Pick the company name from the job link and use that in the text of the cover letter
+        You should add information from the provided resume in this letter {pdf_resume} that applies to the specific job description provided
+        You should include the email address, and phone number in the letter body itself.
+        Don't add anything that is not mentioned in the resume or in the inputs.
+        Make sure to thank the hiring manager as the last sentence of the letter.
+        Add a signature to the email with the github link, linkedin link.
+        ###EMAIL (NO PREAMBLE)
+        Don't add footer for the email.
+        """)
+
+        chain_email = prompt_email | self.llm
+        response_email = chain_email.invoke({"job_description": str(job_content), "name":name,"experience":experience,"job_link":job_link,"pdf_resume":pdf_resume})
+        return response_email.content
+
+
+
+
+
+

app.py

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+import os
+import streamlit as st
+from langchain_community.document_loaders import WebBaseLoader
+from LangChainConnect import LangChainConnect
+from langchain_community.document_loaders import PyPDFLoader
+
+class CoverLetterGenerator:
+    def __init__(self):
+        st.title('Cover letter generator')
+        self.url_input=st.text_input("Enter the Job URL: *", value=None)
+        self.tell_about_yourself_name=st.text_input("Your name: *", value=None)
+        self.tell_about_yourself_experience=st.text_input("Years of experience: *", value=None)
+        self. resume_file = st.file_uploader(label="Upload your resume in PDF format: *")
+        self.submit_button = st.button("submit")
+        self.lang_chain_connect = LangChainConnect()
+
+    def check_button_click(self):
+        if self.submit_button:
+            if self.url_input is None or self.tell_about_yourself_name is None or self.tell_about_yourself_experience is None or self.resume_file is None:
+                st.code("Job URL,Name,Experience and Resume are mandatory fields", language='markdown')
+                exit(0)
+            try:
+                cover_letter_content = self.generate_cover_letter()
+                st.code(f"{cover_letter_content}", language='markdown')
+            except Exception as e:
+                raise Exception(f"Exception occured {e}")
+
+    def save_resume(self):
+        if self.resume_file:
+            file_path = f"./{self.resume_file.name}"
+            # Save the uploaded file to the working directory
+            with open(file_path, "wb") as f:
+                f.write(self.resume_file.getbuffer())
+            return file_path
+        else:
+            st.code("Invalid Resume")
+            exit(0)
+
+    def load_resume_pdf(self, file_path):
+        pages = []
+        loader = PyPDFLoader(file_path)
+        pages_lazy = loader.lazy_load()
+        for page in pages_lazy:
+            pages.append(page)
+        return pages
+
+
+    def generate_cover_letter(self):
+        loader = WebBaseLoader([self.url_input])
+        docs=loader.load().pop().page_content
+        json_content_description = self.lang_chain_connect.extract_job_content(docs)
+        resume_path = self.save_resume()
+        pdf_resume = self.load_resume_pdf(resume_path)
+        resume_content = ""
+        for page in pdf_resume:
+            resume_content += page.page_content
+            resume_content+="\n"
+        # st.code(f"{resume_content}", language='markdown')
+        # exit(0)
+        os.remove(resume_path)
+        cover_letter_content = self.lang_chain_connect.write_cover_letter(json_content_description,"sample",self.tell_about_yourself_name,self.tell_about_yourself_experience,self.url_input, resume_content)
+        return cover_letter_content
+
+
+if __name__ == "__main__":
+    cover_letter = CoverLetterGenerator()
+    cover_letter.check_button_click()

requirements.txt

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+accelerate==1.0.1
+aiohappyeyeballs==2.4.3
+aiohttp==3.10.10
+aiosignal==1.3.1
+annotated-types==0.7.0
+anyconfig==0.14.0
+anyio==4.6.2.post1
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.3.0
+asttokens==2.4.1
+async-lru==2.0.4
+attrs==24.2.0
+babel==2.16.0
+beautifulsoup4==4.12.3
+black==24.10.0
+bleach==6.2.0
+certifi==2024.8.30
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.0
+click==8.1.7
+colorama==0.4.6
+comm==0.2.2
+cycler==0.12.1
+datasets==3.0.2
+debugpy==1.8.7
+decorator==5.1.1
+defusedxml==0.7.1
+dill==0.3.8
+distro==1.9.0
+et_xmlfile==2.0.0
+evaluate==0.4.3
+executing==2.1.0
+fastapi==0.115.3
+fastjsonschema==2.20.0
+filelock==3.16.1
+fonttools==4.54.1
+fqdn==1.5.1
+frozenlist==1.5.0
+fsspec==2024.9.0
+graphviz==0.20.3
+greenlet==3.1.1
+groq==0.12.0
+h11==0.14.0
+httpcore==1.0.7
+httpx==0.27.2
+huggingface-hub==0.26.1
+idna==3.10
+ijson==3.3.0
+ipykernel==6.29.5
+ipython==8.29.0
+ipywidgets==8.1.5
+isodate==0.7.2
+isoduration==20.11.0
+jedi==0.19.2
+Jinja2==3.1.4
+joblib==1.4.2
+json5==0.9.25
+jsonify==0.5
+jsonpatch==1.33
+jsonpointer==3.0.0
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
+jupyter==1.1.1
+jupyter_client==8.6.3
+jupyter-console==6.6.3
+jupyter_core==5.7.2
+jupyter-events==0.10.0
+jupyter-lsp==2.2.5
+jupyter_server==2.14.2
+jupyter_server_terminals==0.5.3
+jupyterlab==4.2.6
+jupyterlab_pygments==0.3.0
+jupyterlab_server==2.27.3
+jupyterlab_widgets==3.0.13
+kiwisolver==1.4.7
+langchain==0.3.7
+langchain-core==0.3.19
+langchain-groq==0.2.1
+langchain-text-splitters==0.3.2
+langsmith==0.1.144
+MarkupSafe==3.0.1
+matplotlib-inline==0.1.7
+mistune==3.0.2
+mpmath==1.3.0
+multidict==6.1.0
+multiprocess==0.70.16
+mypy-extensions==1.0.0
+nbclient==0.10.0
+nbconvert==7.16.4
+nbformat==5.10.4
+nest-asyncio==1.6.0
+networkx==3.4.1
+notebook==7.2.2
+notebook_shim==0.2.4
+numpy==1.26.4
+openpyxl==3.1.5
+orjson==3.10.11
+overrides==7.7.0
+packaging==24.1
+pandas==2.2.3
+pandocfilters==1.5.1
+parso==0.8.4
+pathspec==0.12.1
+pillow==11.0.0
+pip==24.2
+platformdirs==4.3.6
+portalocker==2.10.1
+prometheus_client==0.21.0
+prompt_toolkit==3.0.48
+propcache==0.2.0
+psutil==6.1.0
+pure_eval==0.2.3
+pyarrow==17.0.0
+pycparser==2.22
+pydantic==2.9.2
+pydantic_core==2.23.4
+Pygments==2.18.0
+PyJWT==2.9.0
+pyparsing==3.2.0
+python-dateutil==2.9.0.post0
+python-json-logger==2.0.7
+referencing==0.35.1
+regex==2024.9.11
+reportlab==4.2.5
+requests==2.32.3
+requests-toolbelt==1.0.0
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rpds-py==0.20.0
+safetensors==0.4.5
+scikit-learn==1.5.2
+scipy==1.14.1
+Send2Trash==1.8.3
+setuptools==75.2.0
+six==1.16.0
+sniffio==1.3.1
+soupsieve==2.6
+SQLAlchemy==2.0.36
+stack-data==0.6.3
+starlette==0.41.0
+sympy==1.13.1
+tenacity==9.0.0
+terminado==0.18.1
+threadpoolctl==3.5.0
+tinycss2==1.3.0
+tokenizers==0.20.1
+toml==0.10.2
+tomli==2.0.2
+torch==2.5.0
+torchvision==0.20.0
+tornado==6.4.1
+tqdm==4.66.5
+traitlets==5.14.3
+transformers==4.45.2
+types-python-dateutil==2.9.0.20241003
+typing_extensions==4.12.2
+tzdata==2024.2
+uri-template==1.3.0
+urllib3==2.2.3
+uvicorn==0.32.0
+wcwidth==0.2.13
+webcolors==24.8.0
+webencodings==0.5.1
+websocket-client==1.8.0
+widgetsnbextension==4.0.13
+xxhash==3.5.0
+yarl==1.16.0
+zipp==3.20.2
+langchain
+langchain_groq
+langchain_core
+langchain_community
+pypdf