For importing resume as pdf

app.py

@@ -62,13 +62,35 @@ def process_resume_and_respond(pdf_file, message, history, system_message, max_t
     return respond(combined_message, history, system_message, max_tokens, temperature, top_p)
 
 
+# Store the uploaded PDF content globally
+uploaded_resume_text = ""
+
+def upload_resume(pdf_file):
+    global uploaded_resume_text
+    uploaded_resume_text = extract_text_from_pdf(pdf_file.name)
+    return "Resume uploaded successfully!"
+
+
+def respond_with_resume(message, history, system_message, max_tokens, temperature, top_p):
+    global uploaded_resume_text
+    # Combine the uploaded resume text with the user message
+    combined_message = f"Resume:\n{uploaded_resume_text}\n\nUser message:\n{message}"
+    # Respond using the combined message
+    return respond(combined_message, history, system_message, max_tokens, temperature, top_p)
+
+
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-demo = gr.ChatInterface(
-    process_resume_and_respond,
+upload_interface = gr.Interface(
+    upload_resume,
+    inputs=gr.File(label="Upload Resume PDF"),
+    outputs=gr.Textbox(label="Upload Status"),
+)
+
+chat_interface = gr.ChatInterface(
+    respond_with_resume,
     additional_inputs=[
-        gr.File(label="Upload Resume PDF"),
         gr.Textbox(value="You are a Job Advisor Chatbot.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
@@ -82,6 +104,11 @@ demo = gr.ChatInterface(
     ],
 )
 
+demo = gr.TabbedInterface(
+    [upload_interface, chat_interface],
+    ["Upload Resume", "Chat with Job Advisor"]
+)
+
 
 if __name__ == "__main__":
     demo.launch()