Update app.py

app.py

@@ -140,6 +140,56 @@ class Resume_Overall:
 
         job_list = self._generate_job_list(resume_text)
         return job_list
+
+    def generate_job_description(self, role, experience):
+        # Generate a response from the GPT-3 model
+
+        prompt = f"""Your task is generate Job description for this {role} with {experience} years of experience.
+                    Job Description Must have
+                    1. Job Title
+                    2. Job Summary : [200 words]
+                    3. Responsibilities : Five Responsibilities in five lines
+                    4. Required Skills : Six Skills
+                    5. Qualifications
+                  These topics must have in that Generated Job Description.
+                  """
+        response = openai.Completion.create(
+            engine='text-davinci-003',  # Choose the GPT-3 engine you want to use
+            prompt=prompt,
+            max_tokens=500,  # Set the maximum number of tokens in the generated response
+            temperature=0.5,  # Controls the randomness of the output. Higher values = more random, lower values = more focused
+        )
+
+        # Extract the generated text from the API response
+        generated_text = response.choices[0].text.strip()
+
+        return generated_text  
+        
+    def response(self,job_description_path):
+        job_description_path = job_description_path.name
+        job_description = self.extract_text_from_file(job_description_path)
+
+
+        # Define the prompt or input for the model
+        prompt = f"""Generate interview questions for screening following job_description delimitted by triple backticks. Generate atmost ten questions.
+                     ```{job_description}```
+                  """
+
+        # Generate a response from the GPT-3 model
+        response = openai.Completion.create(
+            engine='text-davinci-003',  # Choose the GPT-3 engine you want to use
+            prompt=prompt,
+            max_tokens=200,  # Set the maximum number of tokens in the generated response
+            temperature=0,  # Controls the randomness of the output. Higher values = more random, lower values = more focused
+            n=1,  # Generate a single response
+            stop=None,  # Specify an optional stop sequence to limit the length of the response
+        )
+
+        # Extract the generated text from the API response
+        generated_text = response.choices[0].text.strip()
+
+        return generated_text 
+        
     def show_file(self,file_path):
       return file_path.name
 
@@ -153,20 +203,24 @@ class Resume_Overall:
                         upload_button = gr.UploadButton(
                             "Browse File",file_types=[".txt", ".pdf", ".doc", ".docx",".json",".csv"],
                             elem_classes="uploadbutton")
-                with gr.Row("col-container"):    
-                    with gr.TabItem("Designation"):
+  
+                with gr.TabItem("Designation"):
+                    with gr.Column(elem_id = "col-container",scale=0.80):
                         btn = gr.Button(value="Submit")
                         output_text = gr.Textbox(label="Designation List")
-                    with gr.TabItem("Summarized"):  
+                with gr.TabItem("Summarized"):  
+                    with gr.Column(elem_id = "col-container",scale=0.80):
                         analyse = gr.Button("Analyze")
                         summary_result = gr.Textbox(label="Summarized",lines=8)      
-                    with gr.TabItem("Skills and Education Gaps"):  
+                with gr.TabItem("Skills and Education Gaps"):  
+                    with gr.Column(elem_id = "col-container",scale=0.80):
                         analyse_resume = gr.Button("Analyze Resume")
                         result = gr.Textbox(label="Skills and Education Gaps",lines=8)
-                    with gr.TabItem("Course"): 
+                with gr.TabItem("Course"): 
+                    with gr.Column(elem_id = "col-container",scale=0.80):
                         course_analyse = gr.Button("Find Courses")
                         course_result = gr.Textbox(label="Suggested Cources",lines=8)
-    
+        
                 upload_button.upload(self.show_file,upload_button,file_output)
                 course_analyse.click(self.course_response, [upload_button], course_result)
                 analyse_resume.click(self.skill_response, [upload_button], result)
@@ -181,11 +235,26 @@ class Resume_Overall:
                         upload_button1 = gr.UploadButton(
                             "Browse File",file_types=[".txt", ".pdf", ".doc", ".docx",".json",".csv"],
                             elem_classes="uploadbutton")  
-                with gr.Row():        
-                    with gr.TabItem("Designation"):
-                        btn1 = gr.Button(value="Submit")
-                        output_text1 = gr.Textbox(label="Designation List")                        
-
+                with gr.TabItem("Screening Question"):        
+                    with gr.Row():        
+                        with gr.TabItem("Screening Question"):
+                            jd_btn = gr.Button(value="Submit")
+                            output_text1 = gr.Textbox(label="Screening Question") 
+                with gr.TabItem("Screening Question"):    
+                    with gr.Row():
+                        with gr.Column():
+                             rolls = gr.Textbox(label="Role")
+                        with gr.Column():
+                             experience = gr.Textbox(label="Experience")
+                    with gr.Row():
+                        get_jd_btn = gr.Button("Generate JD")
+                    with gr.Row():
+                        result_jd = gr.Textbox(label="Job Description",lines=8)
+                            
+                get_jd_btn.click(self.generate_job_description, [rolls,experience], result_jd)      
+                upload_button1.upload(self.show_file,upload_button1,file_output1)        
+                jd_btn.click(self.response,[upload_button1], output_text1)
+                
         app.launch(debug=True)
 
 if __name__ == "__main__":