Update app.py

app.py

@@ -5,6 +5,7 @@ import openai
 import re
 import plotly.graph_objects as go
 from openai import OpenAI
+os.environ["OPENAI_API_KEY"] = "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"
 class ResumeAnalyser:
   def __init__(self):
       pass
@@ -35,26 +36,30 @@ class ResumeAnalyser:
           return "Unsupported file type"
 
   def responce_from_ai(self,textjd, textcv):
-      resume = self.extract_text_from_file(textjd)
-      job_description = self.extract_text_from_file(textcv)
+      job_description = self.extract_text_from_file(textjd)
+      resume = self.extract_text_from_file(textcv)
       client = OpenAI()   
-      response = client.chat.completions.create(
-          engine="gpt-3.5-turbo",
-          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}
+      conversation = [
+          {"role": "system", "content": "You are a Reason Analyser"},
+          {"role": "user", "content": f"""
+  Given the job description and the resume, access the matching percentage to 100 and if 100 percentage not matched mention the remaining percentage with reason.if doesn't match return 0. **Job Description:**{job_description}**Resume:**{resume}
   **Detailed Analysis:**
                   the result should be in this format:
                   Matched Percentage: [matching percentage].
-                  Reason            : [Mention Reason and keys from job_description and resume get this matched percentage.].
-                  Skills To Improve : [Mention the skills How to improve and get 100 percentage job description matching].
-                  Keywords          : [matched key words from {job_description} and {resume}].
-                  """,
+                  Reason            : [give me a Reason (shortly in passage) and keys from job_description and resume get this matched percentage.].
+                  Skills To Improve : [give me a the skills How to improve and get 100 percentage job description matching (shortly in passage).].
+                  Keywords          : [give me a matched key words from {job_description} and {resume}].
+                  """}
+      ]
+      response = client.chat.completions.create(
+          model="gpt-3.5-turbo",
+          messages=conversation,
           temperature=0,
-          max_tokens=100,
+          max_tokens=500,
           n=1,
           stop=None,
       )
-      generated_text = response.choices[0].text.strip()
+      generated_text = response.choices[0].message.content
       print(generated_text)
       return generated_text
 
@@ -69,22 +74,24 @@ class ResumeAnalyser:
 
       lines = result.split('\n')
         
-      matched_percentage = None
+      matched_percentage = 0
       matched_percentage_txt = None
       reason = None
       skills_to_improve = None
       keywords = None
-    
+
       for line in lines:
           if line.startswith('Matched Percentage:'):
-              match = re.search(r"Matched Percentage: (\d+)%", line)
-              if match:
-                  matched_percentage = int(match.group(1))
+              matched_percentage = re.search(r'\d+', line)
+              if matched_percentage:
+                  matched_percentage = int(matched_percentage.group())
                   matched_percentage_txt = (f"Matched Percentage: {matched_percentage}%")
           elif line.startswith('Reason'):
               reason = line.split(':')[1].strip()
+              print(reason)
           elif line.startswith('Skills To Improve'):
               skills_to_improve = line.split(':')[1].strip()
+              print(skills_to_improve)
           elif line.startswith('Keywords'):
               keywords = line.split(':')[1].strip()
 
@@ -103,6 +110,8 @@ class ResumeAnalyser:
 
       return matched_percentage_txt,reason, skills_to_improve, keywords,fig
 
+  def filename(self,uploadbutton):
+      return uploadbutton.name
 
   def gradio_interface(self):
       with gr.Blocks(css="style.css",theme="freddyaboulton/test-blue") as app:
@@ -115,9 +124,15 @@ class ResumeAnalyser:
                 <br><center><h1 style="color:#fff">Resume Analyser</h1></center>""")   
             with gr.Row():
               with gr.Column(scale=0.45, min_width=150, ):
-                jobDescription = gr.File(label="Job Description")
+                file_jd = gr.File()
+                jobDescription = gr.UploadButton(
+                    "Browse File",file_types=[".txt", ".pdf", ".doc", ".docx",".json",".csv"],
+                    elem_classes="filenameshow")
               with gr.Column(scale=0.45, min_width=150):
-                resume = gr.File(label="Resume")
+                file_resume = gr.File()
+                resume = gr.UploadButton(
+                    "Browse File",file_types=[".txt", ".pdf", ".doc", ".docx",".json",".csv"],
+                    elem_classes="filenameshow")
               with gr.Column(scale=0.10, min_width=150):
                 analyse = gr.Button("Analyse")
             with gr.Row():
@@ -132,9 +147,11 @@ class ResumeAnalyser:
             with gr.Row():
               with gr.Column(scale=1.0, min_width=150):
                 pychart = gr.Plot(label="Matching Percentage Chart")
+            jobDescription.upload(self.filename,jobDescription,file_jd)
+            resume.upload(self.filename,resume,file_resume)
             analyse.click(self.matching_percentage, [jobDescription, resume], [perncentage,reason,skills,keywords,pychart])
 
-      app.launch()
+      app.launch(debug=True)
 
 resume=ResumeAnalyser()
 resume.gradio_interface()