Update with custom questins

app.py

@@ -45,8 +45,12 @@ def download_and_parse_json_blob(storage_connection_string, container_name, blob
         # Parameter "title" und "email" aus dem JSON-Datenobjekt extrahieren und zurückgeben
         title = json_data.get("title", "")
         email = json_data.get("email", "")
+        question_one = json_data.get("question_one", "")
+        question_two = json_data.get("question_two", "")
+        question_three = json_data.get("question_three", "")
+        
 
-        return title, email
+        return title, email, question_one, question_two, question_three
     except Exception as e:
         print(f"Fehler beim Herunterladen und Verarbeiten der JSON-Datei: {str(e)}")
         return None, None
@@ -79,8 +83,6 @@ def download_pdf_blob_as_text(storage_connection_string, container_name, blob_na
 def load_job_data(job, resume, job_params):
     if not job:
         try:
-            print("Hello there")
-            print(job_params["job"])
             pdf_filename_jobdescription = job_params["job"]+".pdf"
             pdf_filename_cv = job_params["job"]+"_resume.pdf"
             json_filename = job_params["job"]+"_jsondata.json" 
@@ -89,6 +91,7 @@ def load_job_data(job, resume, job_params):
             job = download_pdf_blob_as_text(storage_connection_string, container_name, pdf_filename_jobdescription)
             resume = download_pdf_blob_as_text(storage_connection_string, container_name, pdf_filename_cv)
             job_params = download_and_parse_json_blob(storage_connection_string,container_name,json_filename)
+            print(job_params)
             return job, resume, job_params, gr.Label.update("Evaluation for the job: "+job_params[0])
         except:
             gr.Error("An error occurred, the job description could not be loaded. Please contact the recruiter.")
@@ -128,8 +131,21 @@ def bot(history, job, resume, job_params):
     if not resume or not job:
         yield history
         return
+    if len(job_params[2])>0 or len(job_params[3])>0 or len(job_params[4])>0:
+        questions_combined = ""
+        if len(job_params[2])>0:
+            questions_combined += "-"+job_params[2]+"\n"
+        if len(job_params[3])>0:
+            questions_combined += "-"+job_params[3]+"\n"
+        if len(job_params[4])>0:
+            questions_combined += "-"+job_params[4]+"\n"
+
+        extension_text = "The recruiter has predefined the following question(s): \n\n" + questions_combined + "\nPlease ask these questions one after the other first and only then generate your own questions so that you get a total of 10 questions together with the predefined ones."
+
+        system = sys_prompt.format(job=job, resume=resume, n=10, extension=extension_text)
+    else:
+        system = sys_prompt.format(job=job, resume=resume, n=10, extension="")
 
-    system = sys_prompt.format(job=job, resume=resume, n=10)
     messages = [{"role": "system", "content": system}]
     for user, assistant in history:
         if user:
@@ -191,13 +207,9 @@ def send_evaluation(history, job, resume, job_params):
     # E-Mail-Nachricht erstellen
     subject = "Evaluation for the job: "+job_params[0]
     message = f"""Dear Recruiter,
-    
 Please find attached the complete chat history for this evaluation, resume and summary.
-
 The evaluation AI-supported summarized:
-
 {ai_summary}
-
 Sincerely,
 Your Evaluation Tool
 """
@@ -262,7 +274,7 @@ Your Evaluation Tool
         print("Fehler beim Senden der E-Mail:", str(e))
 
 def handle_start_click(welcome_label, start):
-    return gr.Label.update("", visible=False), gr.Button.update("Start Evaluation", scale=0,interactive=False)
+    return gr.Label.update("", visible=False), gr.Button.update("Interview started", scale=0,interactive=False)
 
 
 css = "footer {visibility: hidden} #component-0{height: 90vh !important} #chatbot{height: 85vh !important} #welcome_label {text-align: center!important}"