feat: Add new API endpoints for conversation feedback and update UI text for clarity

app.py

@@ -9,8 +9,9 @@ from bs4 import BeautifulSoup
 from constants import JOB_DESCRIPTION, RESUME_TEXT
 
 API_KEY = os.getenv("API_KEY")
-CHATBOT_API_ENDPOINT = "https://talent-interview-prep-conversational-model.multimodal.dev/"
+CONVERSATIONAL_MODEL_API_ENDPOINT = "https://talent-interview-prep-conversational-model.multimodal.dev/"
 QUESTION_RELATED_FEEDBACK_API_ENDPOINT = "https://talent-interview-prep-question-related-feedback.multimodal.dev/"
+CONVERSATIONAL_MODEL_FEEDBACK_API_ENDPOINT = "https://talent-interview-prep-conversation-feedback.multimodal.dev/"
 
 # Predefined questions
 questions = {
@@ -57,7 +58,7 @@ def chatbot_api_call(interview_question, user_input, conversation_mode, conversa
         data["resume_text"] = RESUME_TEXT
 
     try:
-        response = requests.post(CHATBOT_API_ENDPOINT, headers=headers, json=data)
+        response = requests.post(CONVERSATIONAL_MODEL_API_ENDPOINT, headers=headers, json=data)
         
         if response.status_code == 200:
             json_response = response.json()
@@ -98,6 +99,30 @@ def question_related_feedback_api_call(interview_conversation, feedback_type="st
     except Exception as e:
         print(f"Error: {str(e)}")
         return "Error: Unable to reach the API or invalid response received."
+    
+def conversational_model_feedback_api_call(interview_conversation, feedback_type="standard"):
+    headers = {
+        "x-api-key": API_KEY,
+        "Content-Type": "application/json"
+    }
+
+    data = {
+        "job_title": "Senior Product Manager",
+        "interview_conversation": interview_conversation,
+        "feedback_type": feedback_type
+    }
+
+    try:
+        response = requests.post(CONVERSATIONAL_MODEL_FEEDBACK_API_ENDPOINT, headers=headers, json=data)
+        
+        if response.status_code == 200:
+            return response.text
+        else:
+            return f"Error: Received status code {response.status_code} from the API"
+    
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return "Error: Unable to reach the API or invalid response received."
 
 def enable_send_button(message, selected_question):
     if selected_question and message.strip():
@@ -113,7 +138,7 @@ def handle_question_change(history, selected_question, conversation_mode):
 
     if conversation_mode == 'Interviewer':
         updated_label = f"Conversation turns: {current_turns}"
-        feedback_box_state = gr.update(interactive=False, placeholder="If the conversation is not complete, feedback for each turn will be displayed here", value="")
+        feedback_box_state = gr.update(interactive=False, placeholder="Feedback for each conversation turn, as well as an overall feedback for the entire conversation, will be displayed here", value="")
         
     else:
         updated_label = "Multimodal Coach Agent"
@@ -157,7 +182,7 @@ def reset_interface(conversation_mode):
         )
         slider_state = gr.update(interactive=True)
 
-        feedback_box_state = gr.update(interactive=False, placeholder="If the conversation is not complete, feedback for each turn will be displayed here", value="")
+        feedback_box_state = gr.update(interactive=False, placeholder="Feedback for each conversation turn, as well as an overall feedback for the entire conversation, will be displayed here", value="")
         feedback_type_state = gr.update(interactive=True, value="Standard")
 
     else:
@@ -226,7 +251,7 @@ def create_demo():
                 )
 
         chatbot = gr.Chatbot(label="""The Multimodal Chatbot will be ready once you select a mode""")
-        feedback_box = gr.Textbox(label="Conversation turn feedback", placeholder="If the conversation is not complete, feedback for each turn will be displayed here", interactive=False)
+        feedback_box = gr.Textbox(label="Conversation feedback", placeholder="Feedback for each conversation turn, as well as an overall feedback for the entire conversation, will be displayed here", interactive=False)
 
         msg = gr.Textbox(label="Type your answer here")
         send_btn = gr.Button(value="Send", variant="primary", interactive=False)  
@@ -239,6 +264,8 @@ def create_demo():
         def respond(message, history, conversation_mode, selected_question, conversation_turns_limit, feedback_type, include_company_name, include_resume_text):
             global current_turns
 
+            feedback = ""
+
             if not message.strip():  
                 return history, message  
 
@@ -252,13 +279,15 @@ def create_demo():
             if conversation_mode == 'Interviewer':
                 current_turns += 1
                 updated_label = f"Conversation turns: {current_turns}"
-                feedback = remove_html_tags(question_related_feedback_api_call(chat_memory['messages'][:-1], feedback_type.lower())).strip()
+                feedback = f"{current_turns}º conversation turn feedback\n\n{remove_html_tags(question_related_feedback_api_call(chat_memory['messages'][:-1], feedback_type.lower())).strip()}"
             else:
                 updated_label = "Multimodal Coach Agent"
-                feedback = ""
 
             if conversation_end_flag:
-                return history + [(message, bot_message)], "", gr.update(interactive=False), gr.update(interactive=False), gr.update(label=updated_label), ""
+                if conversation_mode == 'Interviewer':
+                    feedback = f"Whole conversation feedback\n\n{remove_html_tags(conversational_model_feedback_api_call(chat_memory['messages'], feedback_type.lower())).strip()}"
+
+                return history + [(message, bot_message)], "", gr.update(interactive=False), gr.update(interactive=False), gr.update(label=updated_label), feedback
             else:
                 return history + [(message, bot_message)], "", gr.update(interactive=True), gr.update(interactive=True), gr.update(label=updated_label), feedback