Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import google.generativeai as genai
 import os
 
+# Load the API key from an environment variable
 api_key = os.getenv("GENAI_API_KEY")
 
 if api_key is None:
@@ -10,67 +11,96 @@ else:
     # Configure the Google Gemini API
     genai.configure(api_key=api_key)
 
-
 generation_config = {
-    "temperature": 0.9,
-    "top_p": 1,
-    "top_k": 40,
-    "max_output_tokens": 2048,
-}
+        "temperature": 0.9,
+        "top_p": 1,
+        "top_k": 40,
+        "max_output_tokens": 2048,
+    }
 
 safety_settings = [
-    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
-    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
-    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
-    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
-]
+        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
+        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
+        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
+        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
+    ]
 
 model = genai.GenerativeModel(model_name="gemini-1.0-pro",
-                              generation_config=generation_config,
-                              safety_settings=safety_settings)
+                                  generation_config=generation_config,
+                                  safety_settings=safety_settings)
 
-# Streamlit app starts here
+# Streamlit app UI configuration starts here
 st.title('Career Development Chatbot')
 
 # Introduction Section
 name = st.text_input('Hi! I am a Career Development Chatbot. What is your name?', placeholder="Type your name here")
-
 if name:
     st.write(f"Nice to meet you, {name}!")
 
 # Strengths Section
 st.header("Let's explore your strengths.")
 st.write("Please answer the following questions to help us analyze your strengths.")
-
-# Dynamically create text inputs for each question with placeholders for guidance
-questions = [
+strength_questions = [
     {"label": "What do you enjoy the most?", "placeholder": "E.g., solving problems, teaching, coding"},
     {"label": "What am I called on to do most often?", "placeholder": "E.g., organize events, technical support"},
     {"label": "What do I do best?", "placeholder": "E.g., public speaking, designing"},
     {"label": "What advice or expertise do others seek from me?", "placeholder": "E.g., financial advice, software troubleshooting"},
 ]
-
-responses = []
-for question in questions:
+strength_responses = []
+for question in strength_questions:
     response = st.text_input(question["label"], placeholder=question["placeholder"])
-    responses.append(response)
+    strength_responses.append(response)
 
-# Analyze strengths button
+# Analyze Strengths Button
 if st.button("Analyze My Strengths"):
-    if all(responses):
-        combined_responses = " ".join(responses)
+    if all(strength_responses):
+        combined_responses = " ".join(strength_responses)
         prompt_template = f"""Based on the user's responses about their strengths asked in career development form: {combined_responses}, give me top 5 strengths and rate them on the scale of 1-10, 
         After analyzing this, give it in following format: 
         Qualities : corresponding rate, 
-        then generate a summary  highlighting the strengths of the user """
-        
+        then generate a summary highlighting the strengths of the user """
         try:
             # Attempt to generate a report on the user's strengths
             response = model.generate_content([prompt_template])
-            st.write("Based on your responses, here's a detailed summary report about your strengths, including a rating on a scale of 1-10:")
+            st.subheader("Strengths Report")
+            st.write("Based on your responses, here's a detailed summary report about your strengths:")
             st.info(response.text)
         except Exception as e:
             st.error("An error occurred while generating your strengths report. Please try again later.")
             st.error(f"Error: {e}")
     else:
         st.error("Please answer all the questions to receive your strengths report.")
+
+# Core Values Section
+st.header("Reflecting on Your Core Values")
+st.write("Your answers will help us understand what drives you in your professional life.")
+core_values_questions = [
+    {"label": "What annoys you or gets under your skin at work?", "placeholder": "E.g., lack of communication, inefficiency"},
+    {"label": "What brings joy in your work?", "placeholder": "E.g., achieving goals, helping others"},
+    {"label": "What could you not live without in your workplace or a work team?", "placeholder": "E.g., teamwork, respect"},
+    {"label": "Who do you admire and what do you admire about them?", "placeholder": "E.g., a leader's empathy, a colleague's creativity"},
+]
+core_values_responses = []
+for question in core_values_questions:
+    response = st.text_input(question["label"], placeholder=question["placeholder"], key="CV_" + question["label"])
+    core_values_responses.append(response)
+
+# Analyze Core Values Button
+if st.button("Analyze My Core Values"):
+    if all(core_values_responses):
+        combined_responses = " ".join(core_values_responses)
+        prompt_template = f"""Based on the user's responses about their core values asked in career development form: {combined_responses}, give me top 5 core values and rate them on the scale of 1-10, 
+        After analyzing this, give it in following format: 
+        Qualities : corresponding rate, 
+        then generate a summary highlighting the core values of the user """
+        try:
+            # Attempt to generate a report on the user's core values
+            response = model.generate_content([prompt_template])
+            st.subheader("Core Values Report")
+            st.write("Based on your responses, here's a detailed summary report about your core values:")
+            st.info(response.text)
+        except Exception as e:
+            st.error("An error occurred while generating your core values report. Please try again later.")
+            st.error(f"Error: {e}")
+    else:
+        st.error("Please answer all the questions to receive your core values report.")