Create Resume_analyser_agent_tools.py

Resume_analyser_agent_tools.py

@@ -1,219 +1,219 @@
-# Warning control
-import warnings
-warnings.filterwarnings('ignore')
-
-#!pip install PyMuPDF
-#!pip install python-docx
-#!pip install crewai crewai-tools
-
-import fitz  # PyMuPDF for PDF processing
-import docx  # python-docx for DOCX processing
-from crewai_tools import SerperDevTool
-import os
-from crewai import Agent, Task, Crew
-from dotenv import load_dotenv
-import tempfile
-
-# Load environment variables
-load_dotenv()
-
-# Streamlit must be imported after setting page config
-import streamlit as st
-
-# Set page configuration FIRST
-st.set_page_config(page_title="Smart Resume Analyzer", layout="wide")
-
-# Custom CSS for background color
-st.markdown(
-    f"""
-    <style>
-        .stApp {{
-            background-color: #50a7c7;
-        }}
-        .title-text {{
-            font-size: 1000px;  /* Increased font size */
-            font-weight: bold;
-            color: white;
-            text-align: center;
-            margin-bottom: 20px;
-        }}
-        .subtitle-text {{
-            font-style: italic;
-            color: white;
-            text-align: center;
-            margin-bottom: 30px;
-        }}
-        .upload-box {{
-            border: 2px dashed #ffffff;
-            padding: 20px;
-            text-align: center;
-            background-color: rgba(255, 255, 255, 0.2);
-            border-radius: 10px;
-            margin: 0 auto;
-            width: 50%;  /* Reduced width of the upload box */
-        }}
-        .stTextInput input {{
-            max-width: 300px;  /* Reduced width of the text input */
-        }}
-    </style>
-    """,
-    unsafe_allow_html=True
-)
-
-# Title and description
-st.markdown('<p class="title-text">Smart Resume Analyzer & Job Matcher</p>', unsafe_allow_html=True)
-st.markdown('<p class="subtitle-text">Expected Runtime: 1 Min</p>', unsafe_allow_html=True)
-
-# Resume upload section
-st.markdown("### Upload Your Resume (PDF or DOCX)")
-uploaded_file = st.file_uploader("Drop File Here or Click to Upload", type=["pdf", "docx"], help="Upload your resume for analysis.",key="resume_upload")
-
-# Preferred location input
-preferred_location = st.text_input("Preferred Location", placeholder="e.g., San Francisco",max_chars=50, key="location_input")
-
-
-    
-
-# Submit button
-submit_button = st.button("Submit",icon="😃")
-
-# Function to extract text from PDF
-def extract_text_from_pdf(file_path):
-    """Extracts text from a PDF file using PyMuPDF."""
-    doc = fitz.open(file_path)
-    text = ""
-    for page in doc:
-        text += page.get_text()
-    return text
-
-# Function to extract text from DOCX
-def extract_text_from_docx(file_path):
-    """Extracts text from a DOCX file using python-docx."""
-    doc = docx.Document(file_path)
-    fullText = []
-    for para in doc.paragraphs:
-        fullText.append(para.text)
-    return "\n".join(fullText)
-
-# Function to extract text from resume
-def extract_text_from_resume(file_path):
-    """Determines file type and extracts text."""
-    if file_path.endswith(".pdf"):
-        return extract_text_from_pdf(file_path)
-    elif file_path.endswith(".docx"):
-        return extract_text_from_docx(file_path)
-    else:
-        return "Unsupported file format."
-
-# Initialize agents and tasks
-def initialize_crew():
-    search_tool = SerperDevTool()
-
-    # Agent 1: Resume Advisor
-    resume_advisor = Agent(
-        role="Professional Resume Advisor",
-        goal="Give feedback on the resume to make it stand out in the job market.",
-        verbose=True,
-        backstory="With a strategic mind and an eye for detail, you excel at providing feedback on resumes to highlight the most relevant skills and experiences."
-    )
-
-    # Agent 2: Resume Writer
-    resume_writer = Agent(
-        role="Professional Resume Writer",
-        goal="Based on the feedback received from Resume Advisor, make changes to the resume to make it stand out in the job market.",
-        verbose=True,
-        backstory="With a strategic mind and an eye for detail, you excel at refining resumes based on the feedback to highlight the most relevant skills and experiences."
-    )
-
-    # Agent 3: Job Researcher
-    job_researcher = Agent(
-        role="Senior Recruitment Consultant",
-        goal="Find the 5 most relevant, recently posted jobs based on the improved resume received from resume advisor and the location preference.",
-        tools=[search_tool],
-        verbose=True,
-        backstory="""As a senior recruitment consultant, your prowess in finding the most relevant jobs based on the resume and location preference is unmatched. 
-        You can scan the resume efficiently, identify the most suitable job roles, and search for the best-suited recently posted open job positions at the preferred location."""
-    )
-
-    # Task for Resume Advisor Agent: Give Feedback
-    resume_advisor_task = Task(
-        description=(
-            """Give feedback on the resume to make it stand out for recruiters. 
-            Review every section, including the summary, work experience, skills, and education. Suggest to add relevant sections if they are missing.  
-            Also, give an overall score to the resume out of 10. This is the resume: {resume}"""
-        ),
-        expected_output="The overall score of the resume followed by the feedback in bullet points.",
-        agent=resume_advisor
-    )
-
-    # Task for Resume Writer Agent: Improve Resume
-    resume_writer_task = Task(
-        description=(
-            """Rewrite the resume based on the feedback to make it stand out for recruiters. You can adjust and enhance the resume but don't make up facts. 
-            Review and update every section, including the summary, work experience, skills, and education to better reflect the candidate's abilities. This is the resume: {resume}"""
-        ),
-        expected_output="Resume in markdown format that effectively highlights the candidate's qualifications and experiences.",
-        context=[resume_advisor_task],
-        agent=resume_writer
-    )
-
-    # Task for Job Researcher Agent: Find Jobs
-    research_task = Task(
-        description="""Find the 5 most relevant recent job postings based on the resume received from resume advisor and location preference. This is the preferred location: {location}. 
-        Use the tools to gather relevant content and shortlist the 5 most relevant, recent, job openings.""",
-        expected_output="A bullet point list of the 5 job openings, with the appropriate links and detailed description about each job, in markdown format.",
-        agent=job_researcher
-    )
-
-    # Create Crew
-    crew = Crew(
-        name="Resume Analysis Crew",
-        tasks=[resume_advisor_task, resume_writer_task, research_task],
-        agents=[resume_advisor, resume_writer, job_researcher]
-    )
-
-    return crew,resume_advisor_task, resume_writer_task, research_task
-
-
-# Function to run the crew and get results
-def resume_agent(file_path, location):
-    resume_text = extract_text_from_resume(file_path)
-
-    crew, resume_advisor_task, resume_writer_task, research_task = initialize_crew()
-    result = crew.kickoff(inputs={"resume": resume_text, "location": location})
-
-    # Extract outputs
-    feedback = resume_advisor_task.output.raw.strip("```markdown").strip("```").strip()
-    improved_resume = resume_writer_task.output.raw.strip("```markdown").strip("```").strip()
-    job_roles = research_task.output.raw.strip("```markdown").strip("```").strip()
-
-    return feedback, improved_resume, job_roles
-
-# Handle file upload and processing
-if submit_button:
-    if uploaded_file is None:
-        st.error("Please upload a resume before submitting.")
-    else:
-        with st.spinner("Analyzing your resume and finding job matches..."):
-            # Save uploaded file to a temporary location
-            with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as tmp_file:
-                tmp_file.write(uploaded_file.getvalue())
-                tmp_file_path = tmp_file.name
-
-            try:
-                feedback, improved_resume, job_roles = resume_agent(tmp_file_path, preferred_location)
-                
-                st.success("Analysis complete!")
-                st.markdown("## Resume Feedback:")
-                st.markdown(feedback)
-                
-                st.markdown("## Improved Resume Suggestions:")
-                st.markdown(improved_resume)
-                
-                st.markdown("## Relevant Job Roles:")
-                st.markdown(job_roles)
-            except Exception as e:
-                st.error(f"An error occurred: {e}")
-            finally:
-                # Clean up temporary file
+# Warning control
+import warnings
+warnings.filterwarnings('ignore')
+
+#!pip install PyMuPDF
+#!pip install python-docx
+#!pip install crewai crewai-tools
+
+import fitz  # PyMuPDF for PDF processing
+import docx  # python-docx for DOCX processing
+from crewai_tools import SerperDevTool
+import os
+from crewai import Agent, Task, Crew
+from dotenv import load_dotenv
+import tempfile
+
+# Load environment variables
+load_dotenv()
+
+# Streamlit must be imported after setting page config
+import streamlit as st
+
+# Set page configuration FIRST
+st.set_page_config(page_title="Smart Resume Analyzer", layout="wide")
+
+# Custom CSS for background color
+st.markdown(
+    f"""
+    <style>
+        .stApp {{
+            background-color: #50a7c7;
+        }}
+        .title-text {{
+            font-size: 1000px;  /* Increased font size */
+            font-weight: bold;
+            color: white;
+            text-align: center;
+            margin-bottom: 20px;
+        }}
+        .subtitle-text {{
+            font-style: italic;
+            color: white;
+            text-align: center;
+            margin-bottom: 30px;
+        }}
+        .upload-box {{
+            border: 2px dashed #ffffff;
+            padding: 20px;
+            text-align: center;
+            background-color: rgba(255, 255, 255, 0.2);
+            border-radius: 10px;
+            margin: 0 auto;
+            width: 50%;  /* Reduced width of the upload box */
+        }}
+        .stTextInput input {{
+            max-width: 300px;  /* Reduced width of the text input */
+        }}
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+
+# Title and description
+st.markdown('<p class="title-text">Smart Resume Analyzer & Job Matcher</p>', unsafe_allow_html=True)
+st.markdown('<p class="subtitle-text">Expected Runtime: 1 Min</p>', unsafe_allow_html=True)
+
+# Resume upload section
+st.markdown("### Upload Your Resume (PDF or DOCX)")
+uploaded_file = st.file_uploader("Drop File Here or Click to Upload", type=["pdf", "docx"], help="Upload your resume for analysis.",key="resume_upload")
+
+# Preferred location input
+preferred_location = st.text_input("Preferred Location", placeholder="e.g., San Francisco",max_chars=50, key="location_input")
+
+
+    
+
+# Submit button
+submit_button = st.button("Submit",icon="😃")
+
+# Function to extract text from PDF
+def extract_text_from_pdf(file_path):
+    """Extracts text from a PDF file using PyMuPDF."""
+    doc = fitz.open(file_path)
+    text = ""
+    for page in doc:
+        text += page.get_text()
+    return text
+
+# Function to extract text from DOCX
+def extract_text_from_docx(file_path):
+    """Extracts text from a DOCX file using python-docx."""
+    doc = docx.Document(file_path)
+    fullText = []
+    for para in doc.paragraphs:
+        fullText.append(para.text)
+    return "\n".join(fullText)
+
+# Function to extract text from resume
+def extract_text_from_resume(file_path):
+    """Determines file type and extracts text."""
+    if file_path.endswith(".pdf"):
+        return extract_text_from_pdf(file_path)
+    elif file_path.endswith(".docx"):
+        return extract_text_from_docx(file_path)
+    else:
+        return "Unsupported file format."
+
+# Initialize agents and tasks
+def initialize_crew():
+    search_tool = SerperDevTool()
+
+    # Agent 1: Resume Advisor
+    resume_advisor = Agent(
+        role="Professional Resume Advisor",
+        goal="Give feedback on the resume to make it stand out in the job market.",
+        verbose=True,
+        backstory="With a strategic mind and an eye for detail, you excel at providing feedback on resumes to highlight the most relevant skills and experiences."
+    )
+
+    # Agent 2: Resume Writer
+    resume_writer = Agent(
+        role="Professional Resume Writer",
+        goal="Based on the feedback received from Resume Advisor, make changes to the resume to make it stand out in the job market.",
+        verbose=True,
+        backstory="With a strategic mind and an eye for detail, you excel at refining resumes based on the feedback to highlight the most relevant skills and experiences."
+    )
+
+    # Agent 3: Job Researcher
+    job_researcher = Agent(
+        role="Senior Recruitment Consultant",
+        goal="Find the 5 most relevant, recently posted jobs based on the improved resume received from resume advisor and the location preference.",
+        tools=[search_tool],
+        verbose=True,
+        backstory="""As a senior recruitment consultant, your prowess in finding the most relevant jobs based on the resume and location preference is unmatched. 
+        You can scan the resume efficiently, identify the most suitable job roles, and search for the best-suited recently posted open job positions at the preferred location."""
+    )
+
+    # Task for Resume Advisor Agent: Give Feedback
+    resume_advisor_task = Task(
+        description=(
+            """Give feedback on the resume to make it stand out for recruiters. 
+            Review every section, including the summary, work experience, skills, and education. Suggest to add relevant sections if they are missing.  
+            Also, give an overall score to the resume out of 10. This is the resume: {resume}"""
+        ),
+        expected_output="The overall score of the resume followed by the feedback in bullet points.",
+        agent=resume_advisor
+    )
+
+    # Task for Resume Writer Agent: Improve Resume
+    resume_writer_task = Task(
+        description=(
+            """Rewrite the resume based on the feedback to make it stand out for recruiters. You can adjust and enhance the resume but don't make up facts. 
+            Review and update every section, including the summary, work experience, skills, and education to better reflect the candidate's abilities. This is the resume: {resume}"""
+        ),
+        expected_output="Resume in markdown format that effectively highlights the candidate's qualifications and experiences.",
+        context=[resume_advisor_task],
+        agent=resume_writer
+    )
+
+    # Task for Job Researcher Agent: Find Jobs
+    research_task = Task(
+        description="""Find the 5 most relevant recent job postings based on the resume received from resume advisor and location preference. This is the preferred location: {location}. 
+        Use the tools to gather relevant content and shortlist the 5 most relevant, recent, job openings.""",
+        expected_output="A bullet point list of the 5 job openings, with the appropriate links and detailed description about each job, in markdown format.",
+        agent=job_researcher
+    )
+
+    # Create Crew
+    crew = Crew(
+        name="Resume Analysis Crew",
+        tasks=[resume_advisor_task, resume_writer_task, research_task],
+        agents=[resume_advisor, resume_writer, job_researcher]
+    )
+
+    return crew,resume_advisor_task, resume_writer_task, research_task
+
+
+# Function to run the crew and get results
+def resume_agent(file_path, location):
+    resume_text = extract_text_from_resume(file_path)
+
+    crew, resume_advisor_task, resume_writer_task, research_task = initialize_crew()
+    result = crew.kickoff(inputs={"resume": resume_text, "location": location})
+
+    # Extract outputs
+    feedback = resume_advisor_task.output.raw.strip("```markdown").strip("```").strip()
+    improved_resume = resume_writer_task.output.raw.strip("```markdown").strip("```").strip()
+    job_roles = research_task.output.raw.strip("```markdown").strip("```").strip()
+
+    return feedback, improved_resume, job_roles
+
+# Handle file upload and processing
+if submit_button:
+    if uploaded_file is None:
+        st.error("Please upload a resume before submitting.")
+    else:
+        with st.spinner("Analyzing your resume and finding job matches..."):
+            # Save uploaded file to a temporary location
+            with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as tmp_file:
+                tmp_file.write(uploaded_file.getvalue())
+                tmp_file_path = tmp_file.name
+
+            try:
+                feedback, improved_resume, job_roles = resume_agent(tmp_file_path, preferred_location)
+                
+                st.success("Analysis complete!")
+                st.markdown("## Resume Feedback:")
+                st.markdown(feedback)
+                
+                st.markdown("## Improved Resume Suggestions:")
+                st.markdown(improved_resume)
+                
+                st.markdown("## Relevant Job Roles:")
+                st.markdown(job_roles)
+            except Exception as e:
+                st.error(f"An error occurred: {e}")
+            finally:
+                # Clean up temporary file
                 os.unlink(tmp_file_path)