Update app.py

app.py

@@ -1,95 +1,90 @@
-import app_funtions as appfun
-import os
-import shutil
-import glob
-import gradio as gr
-from pathlib import Path
-from datetime import datetime
-
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-
-    gr.Markdown("""<h1><center>Resume Processing</center></h1>""")
-    password_row = gr.Row()
-    password_text_row = gr.Row(visible=False)
-    content_row = gr.Row(visible=False)
-    confirmation_row = gr.Row(visible=False)
-
-    MIL_Password = gr.Textbox(type='password', label="Enter the Password", visible=True)
-    log_in = gr.Button("Log In", visible=True)
-    log_in.click(fn=appfun.check_password, inputs=MIL_Password,
-                 outputs=[MIL_Password, log_in, password_text_row, content_row])
-
-    with password_text_row:
-        gr.Markdown("""<h3><center>Incorrect Password. Access Denied.</center></h3>""")
-
-    with content_row:
-        with gr.Tab('Resume Input'):
-            gr.Markdown("""<h3><center>Resumes Input</center></h3>""")
-            gr.Markdown("""<p><center>Upload or delete any resumes you would like to have the AI use:</center></p>""")
-            with gr.Row():
-                with gr.Column():
-                    upload_resume = gr.UploadButton('Upload Resume', file_count="multiple")
-                with gr.Column():
-                    delete_resume = gr.Button('Delete')
-
-            with gr.Row():
-
-                @gr.render(triggers=[upload_resume.upload, delete_resume.click, log_in.click])
-                def file_exp():
-                    resume_file_explorer = gr.FileExplorer(
-                        root_dir=os.path.abspath("Resumes"),
-                        label='Resumes',
-                        interactive=True,
-                        elem_id='explorer',
-                    )
-                    upload_resume.upload(fn=appfun.add_resume, inputs=upload_resume)
-                    delete_resume.click(fn=appfun.remove_resumes, inputs=resume_file_explorer)
-        with gr.Tab('Job Input'):
-            gr.Markdown("""<h3><center>Job Input</center></h3>""")
-            gr.Markdown("""<p><center>Upload a document you would like to extract job description from. Supported file types are: .pdf, 
-                        .docx, .pptx, .txt.</center></p>""")
-            upload_file = gr.File()
-            extract_button = gr.Button('Extract')
-            extract_completion_message = gr.Markdown("""<p><center></center></p>""")
-        with gr.Tab('Rank Resumes'):
-            gr.Markdown("""<h3><center>Rank Resumes</center></h3>""")
-            gr.Markdown("""<p><center>Choose the job posting of which you would like to get the top 3 resumes for.</center></p>""")
-            job_select = gr.Dropdown(label='Select Job', choices=appfun.job_names + ['Custom'], allow_custom_value=True)
-            with gr.Row(visible=False) as job_details:
-                with gr.Column():
-                    job_name_input = gr.Textbox(label='Job Name', lines=1, interactive=True)
-                    job_description_input = gr.Textbox(label='Job Description', lines=5, interactive=True)
-                    get_resumes = gr.Button('Rank Resumes')
-            with gr.Row(visible=True) as gpt_response:
-                best_resumes = gr.Markdown()
-        with gr.Tab("Chatbot"):
-            chatbot = gr.Chatbot(avatar_images=("user.jpeg", "gpt.jpg"), height=750)
-            state = gr.State()
-            chatbot_textbox = gr.Textbox(label="Input", info="", lines=1,
-                                         placeholder="Please process resumes", scale=1,
-                                         interactive=False)
-            chatbot_submit = gr.Button("SEND", interactive=False, scale=1)
-            chatbot_submit.click(appfun.my_chatbot, inputs=[chatbot_textbox, state],
-                                 outputs=[chatbot, state, chatbot_textbox])
-
-
-
-        job_select.select(fn=appfun.job_selected, inputs=job_select,
-                          outputs=[job_name_input, job_description_input, job_details, best_resumes])
-        get_resumes.click(appfun.send_to_openai, inputs=[job_name_input, job_description_input],
-                          outputs=[best_resumes, gpt_response, chatbot_textbox, chatbot_submit])
-        extract_button.click(fn=appfun.extract_jobs, inputs=upload_file, outputs=[extract_completion_message, job_select])
-
-
-if __name__ == '__main__':
-    # Remove all current resumes from the Resumes folder
-    files = glob.glob(os.path.abspath('Resumes') + "/*")
-    for f in files:
-        os.remove(f)
-
-    # Copy all the defaults resumes to the resume folder
-    files = glob.glob(os.path.abspath('Default Resumes') + "/*")
-    for f in files:
-        shutil.copy(f, os.path.abspath('Resumes'))
-
+import app_funtions as appfun
+import os
+import shutil
+import glob
+import gradio as gr
+from pathlib import Path
+from datetime import datetime
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+
+    gr.Markdown("""<h1><center>Resume Processing</center></h1>""")
+    password_row = gr.Row()
+    password_text_row = gr.Row(visible=False)
+    content_row = gr.Row(visible=False)
+    confirmation_row = gr.Row(visible=False)
+
+    MIL_Password = gr.Textbox(type='password', label="Enter the Password", visible=True)
+    log_in = gr.Button("Log In", visible=True)
+    log_in.click(fn=appfun.check_password, inputs=MIL_Password,
+                 outputs=[MIL_Password, log_in, password_text_row, content_row])
+
+    with password_text_row:
+        gr.Markdown("""<h3><center>Incorrect Password. Access Denied.</center></h3>""")
+
+    with content_row:
+        with gr.Tab('Resume Input'):
+            gr.Markdown("""<h3><center>Resumes Input</center></h3>""")
+            gr.Markdown("""<p><center>Upload or delete any resumes you would like to have the AI use:</center></p>""")
+            with gr.Row():
+                with gr.Column():
+                    upload_resume = gr.UploadButton('Upload Resume', file_count="multiple")
+                with gr.Column():
+                    delete_resume = gr.Button('Delete')
+
+            with gr.Row():
+
+                @gr.render(triggers=[upload_resume.upload, delete_resume.click, log_in.click])
+                def file_exp():
+                    resume_file_explorer = gr.FileExplorer(
+                        root_dir=os.path.abspath("Resumes"),
+                        label='Resumes',
+                        interactive=True,
+                        elem_id='explorer',
+                    )
+                    upload_resume.upload(fn=appfun.add_resume, inputs=upload_resume)
+                    delete_resume.click(fn=appfun.remove_resumes, inputs=resume_file_explorer)
+        with gr.Tab('Job Input'):
+            gr.Markdown("""<h3><center>Job Input</center></h3>""")
+            gr.Markdown("""<p><center>Upload a document you would like to extract job description from. Supported file types are: .pdf, 
+                        .docx, .pptx, .txt.</center></p>""")
+            upload_file = gr.File()
+            extract_button = gr.Button('Extract')
+            extract_completion_message = gr.Markdown("""<p><center></center></p>""")
+        with gr.Tab('Rank Resumes'):
+            gr.Markdown("""<h3><center>Rank Resumes</center></h3>""")
+            gr.Markdown("""<p><center>Choose the job posting of which you would like to get the top 3 resumes for.</center></p>""")
+            job_select = gr.Dropdown(label='Select Job', choices=appfun.job_names + ['Custom'], allow_custom_value=True)
+            with gr.Row(visible=False) as job_details:
+                with gr.Column():
+                    job_name_input = gr.Textbox(label='Job Name', lines=1, interactive=True)
+                    job_description_input = gr.Textbox(label='Job Description', lines=5, interactive=True)
+                    get_resumes = gr.Button('Rank Resumes')
+            with gr.Row(visible=True) as gpt_response:
+                best_resumes = gr.Markdown()
+        with gr.Tab("Chatbot"):
+            chatbot = gr.Chatbot(avatar_images=("user.jpeg", "gpt.jpg"), height=750)
+            state = gr.State()
+            chatbot_textbox = gr.Textbox(label="Input", info="", lines=1,
+                                         placeholder="Please process resumes", scale=1,
+                                         interactive=False)
+            chatbot_submit = gr.Button("SEND", interactive=False, scale=1)
+            chatbot_submit.click(appfun.my_chatbot, inputs=[chatbot_textbox, state],
+                                 outputs=[chatbot, state, chatbot_textbox])
+
+
+
+        job_select.select(fn=appfun.job_selected, inputs=job_select,
+                          outputs=[job_name_input, job_description_input, job_details, best_resumes])
+        get_resumes.click(appfun.send_to_openai, inputs=[job_name_input, job_description_input],
+                          outputs=[best_resumes, gpt_response, chatbot_textbox, chatbot_submit])
+        extract_button.click(fn=appfun.extract_jobs, inputs=upload_file, outputs=[extract_completion_message, job_select])
+
+
+if __name__ == '__main__':
+    # Remove all current resumes from the Resumes folder
+    files = glob.glob(os.path.abspath('Resumes') + "/*")
+    for f in files:
+        os.remove(f)
+
     demo.launch()