Update app.py

app.py

@@ -1,9 +1,9 @@
-import os
 import streamlit as st
+import os
 from groq import Groq
 
 # Set the Groq API key
-os.environ["GROQ_API_KEY"] = "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"
+os.environ["GROQ_API_KEY"] = "your_groq_api_key_here"  # Replace with your actual API key
 
 # Initialize Groq client
 client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
@@ -24,52 +24,27 @@ def call_groq_api(prompt):
 
 # Define functions for each tool
 def personalized_learning_assistant(topic):
-    examples = [
-        "Explain quantum mechanics with a real-world example.",
-        "Describe general relativity and its significance.",
-        "Provide a simple explanation of machine learning and its applications."
-    ]
-    prompt = f"Here are some example explanations:\n\n{examples}\n\nNow, explain the topic: {topic}. Provide a detailed, yet simple explanation with a practical example."
+    prompt = f"Provide a personalized learning plan for the topic: {topic}"
     return call_groq_api(prompt)
 
 def ai_coding_mentor(code_snippet):
-    examples = [
-        "Review this code snippet for optimization opportunities:\n\nCode: 'for i in range(10): print(i)'\nSuggestion: Use list comprehension for more efficient code.",
-        "Analyze this code snippet for best practices:\n\nCode: 'def add(a, b): return a + b'\nSuggestion: Include type hints to improve readability and maintainability."
-    ]
-    prompt = f"Here are some code review examples:\n\n{examples}\n\nReview the following code snippet and provide suggestions for improvement:\n{code_snippet}. Include any potential issues or improvements."
+    prompt = f"Review this AI code snippet and provide suggestions or improvements:\n\n{code_snippet}"
     return call_groq_api(prompt)
 
 def smart_document_summarizer(document_text):
-    examples = [
-        "Summarize this text:\n\nText: 'Quantum computing represents a revolutionary approach to computing that leverages quantum mechanics.'\nSummary: 'Quantum computing uses quantum mechanics to advance computing technology.'",
-        "Create a summary for this passage:\n\nText: 'The rise of electric vehicles is a major step towards reducing global carbon emissions and combating climate change.'\nSummary: 'Electric vehicles help reduce carbon emissions and fight climate change.'"
-    ]
-    prompt = f"Here are some document summarization examples:\n\n{examples}\n\nSummarize the following document text concisely:\n{document_text}. Focus on capturing the main points clearly."
+    prompt = f"Summarize the following document:\n\n{document_text}"
     return call_groq_api(prompt)
 
 def interactive_study_planner(exam_schedule):
-    examples = [
-        "Generate a study plan for a schedule with multiple exams in a week:\n\nSchedule: '3 exams in one week'\nPlan: 'Allocate 2 hours per subject each day, with review sessions on weekends.'",
-        "Create a study plan for preparing for exams over a period of 2 weeks:\n\nSchedule: 'Exams in 2 weeks'\nPlan: 'Prioritize subjects based on difficulty and importance, with daily reviews and mock tests.'"
-    ]
-    prompt = f"Here are some study planning examples:\n\n{examples}\n\nCreate a tailored study plan based on the following schedule:\n{exam_schedule}. Include daily study goals and break times."
+    prompt = f"Create an interactive study plan based on this exam schedule:\n\n{exam_schedule}"
     return call_groq_api(prompt)
 
 def real_time_qa_support(question):
-    examples = [
-        "Provide an answer to this question:\n\nQuestion: 'What is Newton's third law of motion?'\nAnswer: 'Newton's third law states that for every action, there is an equal and opposite reaction.'",
-        "Explain this concept:\n\nQuestion: 'What is the principle of conservation of energy?'\nAnswer: 'The principle of conservation of energy states that energy cannot be created or destroyed, only transformed from one form to another.'"
-    ]
-    prompt = f"Here are some examples of answers to academic questions:\n\n{examples}\n\nAnswer the following question:\n{question}. Provide a clear and comprehensive explanation."
+    prompt = f"Provide an answer to the following academic question:\n\n{question}"
     return call_groq_api(prompt)
 
 def mental_health_check_in(feelings):
-    examples = [
-        "Offer advice for managing exam stress:\n\nFeeling: 'Stressed about upcoming exams'\nAdvice: 'Develop a study schedule, take regular breaks, and practice relaxation techniques.'",
-        "Provide support for feeling overwhelmed:\n\nFeeling: 'Feeling overwhelmed with coursework'\nAdvice: 'Break tasks into smaller, manageable parts and seek support from peers or a counselor.'"
-    ]
-    prompt = f"Here are some examples of mental health advice:\n\n{examples}\n\nProvide advice based on the following feeling:\n{feelings}. Offer practical suggestions for improving well-being."
+    prompt = f"Provide some advice based on these feelings:\n\n{feelings}"
     return call_groq_api(prompt)
 
 # Initialize session state if not already set
@@ -83,11 +58,16 @@ if 'responses' not in st.session_state:
         "mental_health_check_in": ""
     }
 
+# Set up page configuration
 st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide")
 
 # Add custom styling using Streamlit
 st.markdown("""
     <style>
+    body {
+        background-color: #1e1e2d;
+        color: #e0e0e0;
+    }
     .css-1o7k8tt {
         background-color: #2f2f6f; 
         color: #ffffff; 
@@ -98,19 +78,20 @@ st.markdown("""
     .stButton {
         background-color: #d6a4a0;
         color: #ffffff;
-        border-radius: 8px;
-        padding: 10px 20px;
-        font-size: 14px;
-        box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3);
+        border-radius: 12px;
+        padding: 12px 24px;
+        font-size: 16px;
+        box-shadow: 0 6px 12px rgba(0, 0, 0, 0.4);
+        transition: background-color 0.3s, box-shadow 0.3s;
     }
     .stButton:hover {
         background-color: #b35b5b;
-        box-shadow: 0 6px 12px rgba(0, 0, 0, 0.4);
+        box-shadow: 0 8px 16px rgba(0, 0, 0, 0.5);
     }
     .stTextInput, .stTextArea {
         border: 1px solid #d6a4a0;
-        border-radius: 8px;
-        background-color: #1f1f2f;
+        border-radius: 12px;
+        background-color: #2f2f4f;
         color: #ffffff;
     }
     .stTextInput::placeholder, .stTextArea::placeholder {
@@ -124,18 +105,18 @@ st.markdown("""
     }
     .footer {
         background-color: #2e2e3e; 
-        padding: 10px; 
+        padding: 15px; 
         text-align: center; 
         color: #ffffff; 
         border-top: 1px solid #d6a4a0;
         position: fixed; 
         bottom: 0; 
         width: 100%;
-        box-shadow: 0 -4px 8px rgba(0, 0, 0, 0.3);
+        box-shadow: 0 -6px 12px rgba(0, 0, 0, 0.4);
     }
     .footer a {
         color: #d6a4a0; 
-        margin: 0 10px; 
+        margin: 0 15px; 
         text-decoration: none; 
         font-size: 18px;
     }
@@ -143,7 +124,7 @@ st.markdown("""
         color: #ffffff;
     }
     .footer i {
-        font-size: 20px;
+        font-size: 22px;
     }
     </style>
 """, unsafe_allow_html=True)