Create app.py

app.py

@@ -0,0 +1,128 @@
+import gradio as gr
+import fitz
+import os
+import openai
+import re
+import PyPDF2
+
+class ResumeAnalyser:
+    def __init__(self):
+        pass
+    def extract_text_from_file(self, file_path):
+        # Get the file extension
+        file_extension = os.path.splitext(file_path)[1]
+
+        if file_extension == '.pdf':
+          text = ""
+          try:
+            with open(file_path, "rb") as pdf_file:
+                pdf_reader = PyPDF2.PdfReader(pdf_file)
+                num_pages = len(pdf_reader.pages)
+                
+                for page_num in range(num_pages):
+                    page = pdf_reader.pages[page_num]
+                    text += page.extract_text()
+                    
+            return text
+          except Exception as e:
+            return str(e)
+
+        elif file_extension == '.txt':
+            with open(file_path, 'r') as file:
+                # Just read the entire contents of the text file
+                return file.read()
+        else:
+            return "Unsupported file type"
+
+    def responce_from_ai(self,job_description, resume):
+
+
+
+      response = openai.Completion.create(
+          engine = "text-davinci-003",
+          prompt = f"""
+          Given the job description and the resume, assess the matching percentage to 100 and if 100 percentage not matched mention the remaining percentage with reason. **Job Description:**{job_description}**Resume:**{resume}
+          **Detailed Analysis:**
+          Introduction to say we've assessment the resume
+                  the result should be in this format:
+                  Matched Percentage: Precisely [get matching percentage between job description and resume]%.
+                  Qualification Matching Percentage: [matching percentage between job description and resume qualifications].
+                  Skills Matching Percentage: [matching percentage between job description and resume skills].
+                  Experience Matching Percentage: [matching percentage between job description and resume experience].
+                  Reason            : [Reasons for why this resume matched and not matched.].
+                  Skills To Improve : [Mention the skills to improve for the candidate according to the given job description. If there are no matches, simply say N/A.].
+                  Keywords          : [Return the matched keywords from resume and job_description. If there are no matches, simply say N/A.]
+                  Company : [Extracted company name from job description].
+                  Irrevelant: [mention the Irrevelant skills and expericence]
+                  Recommend Course:  [mention specific course to recommend the candidate for job description needs].
+                  Experience: [mention specific experience to recommend the candidate for job description needs].
+                  Tailor Your Application: [Emphasize relevant areas].
+                  Certifications: [Pursue certifications in mention area].
+                  Feel free to contact us for further clarification.
+                  Best wishes,
+          Your job is to write a proper E-Mail to the candidate from the organization with the job role, the candidate's name, organization name, and the body of this E-Mail should be in the above format.
+""",
+          temperature=0,
+          max_tokens=1000,
+          stop=None,
+      )
+      generated_text = response.choices[0].text.strip()
+      # result += generated_text + "\n-------------------------------------------------------------------------------------\n"
+            lines = result.split('\n')
+      for line in lines:
+          matched_percentage = re.search(r"Matched Percentage: Precisely (\d+)%\.", result)
+          if matched_percentage:
+              matched_percentage = int(matched_percentage.group(1))
+      # Creating a pie chart with plotly
+      labels = ['Matched', 'Remaining']
+      values = [matched_percentage, 100 - matched_percentage]
+
+      fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
+      return generated_text, fig
+
+    def clear(self,jobDescription,resume,result_email):
+      jobDescription = None
+      resume = None
+      result_email = None
+      return jobDescription, resume, result_email
+
+    def main(self,job_description_path, resume_list_path):
+
+      tot_result = ""
+      print(tot_result)
+      job_description = self.extract_text_from_file(job_description_path.name)
+      for resume_path in resume_list_path:
+          resume = self.extract_text_from_file(resume_path.name)
+          result = self.responce_from_ai(job_description,resume)
+          tot_result = tot_result + result + "\n-------------------------------------------------------------------------------------\n"
+      return tot_result
+
+    def gradio_interface(self):
+      with gr.Blocks(css="style.css",theme='karthikeyan-adople/hudsonhayes-gray') as app:
+            gr.HTML("""<center class="darkblue" style='background-color:rgb(0,1,36); text-align:center;padding:25px;'><center><h1 class ="center">
+             <img src="file=logo.png" height="110px" width="280px"></h1></center>
+              <br><h1 style="color:#fff">Candidate Assessment and Communication</h1></center>""")
+            with gr.Row(elem_id="col-container"):
+              with gr.Column(scale=0.55, min_width=150, ):
+                jobDescription = gr.File(label="Job Description", file_types = [".pdf",".txt"])
+              with gr.Column(scale=0.55, min_width=150):
+                resume = gr.File(label="Resume", file_types = [".pdf",".txt"] , file_count="multiple")
+            with gr.Row(elem_id="col-container"):
+              with gr.Column(scale=0.80, min_width=150):
+                analyse = gr.Button("Analyse")
+              with gr.Column(scale=0.20, min_width=150):
+                clear_btn = gr.ClearButton()
+            with gr.Row(elem_id="col-container"):
+              with gr.Column(scale=1.0, min_width=150):
+                result_email = gr.Textbox(label="E-mail", lines=10)
+            with gr.Row():
+              with gr.Column(scale=0.50, min_width=150):
+                pychart = gr.Plot(label="Matching Percentage Chart")
+            analyse.click(self.main, [jobDescription, resume], [result_email,pychart])
+            clear_btn.click(self.clear,[jobDescription,resume,result_email],[jobDescription,resume,result_email] )
+
+      app.launch(debug = True)
+
+if __name__ == "__main__":
+    resume = ResumeAnalyser()
+    answer = resume.gradio_interface()