Duplicate from hudsonhayes/CAC

Co-authored-by: Selvam V <[email protected]>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+bg.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: EmailGenerator
+emoji: 🐠
+colorFrom: gray
+colorTo: purple
+sdk: gradio
+sdk_version: 3.36.1
+app_file: app.py
+pinned: false
+duplicated_from: hudsonhayes/CAC
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import os
+import fitz
+import openai
+import re
+
+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':
+            # Use PyMuPDF (fitz) for PDF text extraction
+            doc = fitz.open(file_path)
+            extracted_text = ""
+            for page in doc:
+                extracted_text += page.get_text()
+            doc.close()
+            return extracted_text
+
+        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_path, resume_list_path):
+    
+      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)
+          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]%.\n
+                      Qualification Matching Percentage: [matching percentage between job description and resume qualifications].\n
+                      Skills Matching Percentage: [matching percentage between job description and resume skills].\n
+                      Experience Matching Percentage: [matching percentage between job description and resume experience].\n
+                      Reason            : [Reasons for why this resume matched and not matched.].\n
+                      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.].\n
+                      Keywords          : [Return the matched keywords from resume and job_description. If there are no matches, simply say N/A.]\n
+                      Company : [Extracted company name from job description].\n
+                      Irrevelant: [mention the irrevelant skills and expericence]\n
+                      Recommend Course:  [mention specific course to recommend the candidate for job description needs].\n
+                      Experience: [mention specific experience to recommend the candidate for job description needs].\n
+                      Tailor Your Application: [Emphasize relevant areas].\n
+                      Certifications: [Pursue certifications in mention area].\n
+                      Feel free to contact us for further clarification.\n
+                      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"
+      return result
+    
+    def clear(self,jobDescription,resume,result_email):
+      jobDescription = None
+      resume = None
+      result_email = None
+      return jobDescription, resume, result_email    
+    
+    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)
+    
+            analyse.click(self.responce_from_ai, [jobDescription, resume], [result_email])
+            clear_btn.click(self.clear,[jobDescription,resume,result_email],[jobDescription,resume,result_email] )
+    
+      app.launch()
+
+if __name__ == "__main__":
+    resume = ResumeAnalyser()
+    answer = resume.gradio_interface()

requirements.txt

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+openai
+gradio
+PyMuPDF

style.css

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+#col-container {
+  max-width: 600px;
+  margin-left: auto;
+  margin-right: auto;
+}
+gradio-app{
+  background:url("file=bg.png") !important;
+}
+
+#row-flex {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+.leftimage .rightimage{
+  float:left;
+  filter: drop-shadow(20px 20px 10px white);
+}
+.leftimage{
+  padding-top:40px;
+  margin-left:310px;
+}
+.rightimage{
+  padding-top:40px;
+  margin-right:320px;
+}
+a,
+a:hover,
+a:visited {
+  text-decoration-line: underline;
+  font-weight: 600;
+  color: #1f2937 !important;
+}
+
+.dark a,
+.dark a:hover,
+.dark a:visited {
+  color: #f3f4f6 !important;
+}