Update app.py

app.py

@@ -6,6 +6,17 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+# Predefined list of interview questions
+interview_questions = [
+    "Can you tell me about yourself?",
+    "Why are you interested in this position?",
+    "What are your strengths and weaknesses?",
+    "Can you describe a challenging work situation and how you handled it?",
+    "Where do you see yourself in five years?",
+]
+
+# Keep track of the current question index
+question_index = 0
 
 def respond(
     message,
@@ -15,6 +26,8 @@ def respond(
     temperature,
     top_p,
 ):
+    global question_index
+
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -23,10 +36,11 @@ def respond(
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
+    # Add the user's latest message
     messages.append({"role": "user", "content": message})
 
+    # Generate the assistant's response
     response = ""
-
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -35,9 +49,21 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
-        yield response
+
+    # Append the response to the history
+    history.append((message, response))
+
+    # Prepare the next question if there are more questions left
+    if question_index < len(interview_questions):
+        next_question = interview_questions[question_index]
+        question_index += 1
+    else:
+        next_question = "Thank you for answering all the questions. Do you have any questions for me?"
+
+    # Yield the assistant's response followed by the next question
+    full_response = response + "\n\n" + next_question
+    yield full_response
 
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
@@ -47,7 +73,7 @@ demo = gr.ChatInterface(
     additional_inputs=[
         gr.Textbox(value="You are a manager conducting a job interview. Ask questions related to the candidate's experience, skills, and suitability for the role.", 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"),
+        gr.Slider(minimum=0.1, maximum 4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
@@ -58,6 +84,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()