Update app.py

app.py

@@ -6,7 +6,7 @@ import docx  # python-docx for DOCX processing
 import gradio as gr
 import os
 from crewai import Agent, Task, Crew
-from crewai_tools import SerperDevTool
+from crewai_tools import SerperDevTool  # Ensure it's correctly installed
 
 # Ensure environment variables are set
 openai_key = os.getenv("openaikey")
@@ -32,8 +32,9 @@ def extract_text_from_docx(file_path):
     doc = docx.Document(file_path)
     return "\n".join(para.text for para in doc.paragraphs)
 
-def extract_text_from_resume(file_path):
+def extract_text_from_resume(file):
     """Determines file type and extracts text."""
+    file_path = file.name if isinstance(file, dict) else file
     if file_path.endswith(".pdf"):
         return extract_text_from_pdf(file_path)
     elif file_path.endswith(".docx"):
@@ -41,7 +42,6 @@ def extract_text_from_resume(file_path):
     else:
         return "Unsupported file format."
 
-# Define Agents
 resume_feedback = Agent(
     role="Professional Resume Advisor",
     goal="Give feedback on resumes.",
@@ -49,6 +49,12 @@ resume_feedback = Agent(
     backstory="Experienced in making resumes stand out."
 )
 
+resume_feedback_task = Task(
+    description="Provide detailed feedback on resumes.",
+    expected_output="Resume feedback with an overall score.",
+    agent=resume_feedback
+)
+
 resume_advisor = Agent(
     role="Professional Resume Writer",
     goal="Enhance resumes based on feedback.",
@@ -56,6 +62,13 @@ resume_advisor = Agent(
     backstory="Expert in refining resumes to highlight key strengths."
 )
 
+resume_advisor_task = Task(
+    description="Rewrite the resume based on feedback.",
+    expected_output="Enhanced resume in markdown format.",
+    context=[resume_feedback_task],
+    agent=resume_advisor
+)
+
 search_tool = SerperDevTool()
 
 job_researcher = Agent(
@@ -66,62 +79,40 @@ job_researcher = Agent(
     backstory="Skilled in finding job opportunities based on candidate qualifications."
 )
 
-# Define Tasks
-resume_feedback_task = Task(
-    description="Provide detailed feedback on resumes.",
-    expected_output="Resume feedback with an overall score.",
-    agent=resume_feedback
-)
-
-resume_advisor_task = Task(
-    description="Rewrite the resume based on feedback.",
-    expected_output="Enhanced resume in markdown format.",
-    context=[resume_feedback_task],
-    agent=resume_advisor
-)
-
 research_task = Task(
     description="Find 5 relevant jobs based on the resume.",
     expected_output="List of 5 job openings with links.",
     agent=job_researcher
 )
 
-# Crew Setup
 crew = Crew(
     agents=[resume_feedback, resume_advisor, job_researcher],
     tasks=[resume_feedback_task, resume_advisor_task, research_task],
     verbose=True
 )
 
-def resume_agent(file_path, location):
-    """Runs the AI pipeline to process resume and provide feedback, enhancements, and job recommendations."""
-    resume_text = extract_text_from_resume(file_path)
-    if "Unsupported" in resume_text:
-        return "Invalid file format. Please upload a PDF or DOCX file.", "", ""
-
+def resume_agent(file, location):
+    resume_text = extract_text_from_resume(file)
     result = crew.kickoff(inputs={"resume": resume_text, "location": location})
 
-    feedback = getattr(resume_feedback_task.output, 'raw', "").strip("```markdown").strip() if resume_feedback_task.output else "No feedback available."
-    improved_resume = getattr(resume_advisor_task.output, 'raw', "").strip("```markdown").strip() if resume_advisor_task.output else "No revised resume available."
-    job_roles = getattr(research_task.output, 'raw', "").strip("```markdown").strip() if research_task.output else "No job listings found."
+    feedback = resume_feedback_task.output if resume_feedback_task.output else "No feedback available."
+    improved_resume = resume_advisor_task.output if resume_advisor_task.output else "No resume improvements available."
+    job_roles = research_task.output if research_task.output else "No job listings available."
 
     return feedback, improved_resume, job_roles
 
-# Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("# Resume Feedback and Job Matching Tool")
     gr.Markdown("*Expected Runtime: 1 Min*")
     
-    with gr.Column():
-        with gr.Row():
-            resume_upload = gr.File(label="Upload Resume (PDF or DOCX)", height=120)
-            location_input = gr.Textbox(label="Preferred Location", placeholder="e.g., San Francisco")
-            submit_button = gr.Button("Submit")
-        
-        with gr.Column():
-            feedback_output = gr.Markdown()
-            improved_resume_output = gr.Markdown()
-            job_roles_output = gr.Markdown()
+    with gr.Row():
+        resume_upload = gr.File(label="Upload Resume (PDF or DOCX)")
+        location_input = gr.Textbox(label="Preferred Location", placeholder="e.g., San Francisco")
+        submit_button = gr.Button("Submit")
+    
+    feedback_output = gr.Markdown(label="Resume Feedback")
+    improved_resume_output = gr.Markdown(label="Improved Resume")
+    job_roles_output = gr.Markdown(label="Relevant Job Roles")
     
     submit_button.click(
         lambda: gr.update(value="Processing..."),