Update app.py

app.py

@@ -7,6 +7,9 @@ os.environ["GROQ_API_KEY"] = "gsk_BYXg06vIXpWdFjwDMLnFWGdyb3FYjlovjvzUzo5jtu5A1I
 # Initialize Groq client
 client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
 
+
+
+
 # Define the LLaMA model to be used
 MODEL_NAME = "llama3-8b-8192"
 
@@ -24,107 +27,83 @@ def call_groq_api(prompt):
 # Define functions for each tool
 def personalized_learning_assistant(topic):
     examples = [
-        "Explain quantum mechanics. Example: Quantum mechanics is the study of particles at the atomic level.",
-        "Explain general relativity. Example: General relativity describes gravity as a curvature in space-time.",
-        "Explain machine learning. Example: Machine learning involves algorithms that improve through experience."
+        "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 examples of explanations:\n\n{examples}\n\nNow, explain the topic: {topic}"
+    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."
     return call_groq_api(prompt)
 
 def ai_coding_mentor(code_snippet):
     examples = [
-        "Review the following code snippet:\n\nCode: 'for i in range(10): print(i)'\nSuggestion: Use list comprehension for cleaner code.",
-        "Review this code:\n\nCode: 'def add(a, b): return a + b'\nSuggestion: Add type hints for better readability."
+        "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 examples of code reviews:\n\n{examples}\n\nReview the following code snippet:\n{code_snippet}"
+    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."
     return call_groq_api(prompt)
 
 def smart_document_summarizer(document_text):
     examples = [
-        "Summarize the following text:\n\nText: 'Quantum computing is a rapidly evolving field with potential to revolutionize technology.'\nSummary: 'Quantum computing could transform technology.'",
-        "Summarize this passage:\n\nText: 'The global climate change crisis necessitates urgent action to reduce carbon emissions.'\nSummary: 'Immediate action is needed to tackle climate change.'"
+        "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 examples of summaries:\n\n{examples}\n\nSummarize this document:\n{document_text}"
+    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."
     return call_groq_api(prompt)
 
 def interactive_study_planner(exam_schedule):
     examples = [
-        "Create a study plan based on this schedule:\n\nSchedule: '3 exams in a week'\nPlan: 'Study 2 hours per subject each day before the exam.'",
-        "Generate a study plan for:\n\nSchedule: 'Exams in 2 weeks'\nPlan: 'Focus on subjects with more weight and review daily.'"
+        "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 examples of study plans:\n\n{examples}\n\nCreate a study plan for the following schedule:\n{exam_schedule}"
+    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."
     return call_groq_api(prompt)
 
 def real_time_qa_support(question):
     examples = [
-        "Answer this question:\n\nQuestion: 'What is Newton's second law of motion?'\nAnswer: 'Newton's second law states that force equals mass times acceleration (F=ma).'",
-        "Provide an explanation for:\n\nQuestion: 'What is photosynthesis?'\nAnswer: 'Photosynthesis is the process by which plants convert light energy into chemical energy.'"
+        "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 Q&A responses:\n\n{examples}\n\nAnswer the following question:\n{question}"
+    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."
     return call_groq_api(prompt)
 
 def mental_health_check_in(feelings):
     examples = [
-        "Provide advice for:\n\nFeeling: 'Stressed about exams'\nAdvice: 'Take breaks, get enough sleep, and manage your study time effectively.'",
-        "Offer support for:\n\nFeeling: 'Feeling overwhelmed'\nAdvice: 'Consider relaxation techniques and seek support from friends or a counselor.'"
+        "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 for:\n{feelings}"
+    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."
     return call_groq_api(prompt)
 
 # Define Streamlit app
 st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide")
 
-# Add custom CSS for neon and animated design
+# Add custom styling using Streamlit
 st.markdown("""
     <style>
-    body {
-        background: white;
-        color: #e0e0e0;
-        font-family: 'Arial', sans-serif;
-        overflow-x: hidden;
+    .css-1o7k8tt { 
+        background-color: #282c34; 
+        color: #ffffff; 
     }
-    .neon-text {
-        font-size: 32px;
-        color: #ff0081;
-        text-shadow: ;
-        margin-bottom: 20px;
-    }
-    .neon-border {
-        border: 2px solid #ff0081;
-        border-radius: 8px;
-        padding: 15px;
-        margin-bottom: 20px;
-        box-shadow: 0 0 15px #ff0081;
+    .css-1o7k8tt h1 {
+        color: #61dafb;
     }
-    .animated-button {
-        animation: pulse 2s infinite;
-        background-color: #ff0081;
-        color: #000;
-        border: none;
-        border-radius: 8px;
+    .stButton {
+        background-color: #61dafb;
+        color: #000000;
+        border-radius: 12px;
         padding: 10px 20px;
         font-size: 16px;
-        cursor: pointer;
-        margin: 10px 0;
-    }
-    .animated-button:hover {
-        background-color: #cc0077;
     }
-    .input-container {
-        margin-bottom: 20px;
+    .stButton:hover {
+        background-color: #4fa3d1;
     }
-    @keyframes pulse {
-        0% { transform: scale(1); }
-        50% { transform: scale(1.05); }
-        100% { transform: scale(1); }
+    .stTextInput, .stTextArea {
+        border: 1px solid #61dafb;
+        border-radius: 8px;
     }
     </style>
 """, unsafe_allow_html=True)
 
-# Title and introduction
-st.title("EduNexus: The Ultimate AI-Powered Student Companion")
-st.markdown("<div class='neon-text'>Welcome to EduNexus! Choose a tool below to get started.</div>", unsafe_allow_html=True)
-
 # Define function to clear all inputs
 def clear_chat():
     st.session_state['personalized_learning_assistant'] = ""
@@ -134,72 +113,69 @@ def clear_chat():
     st.session_state['real_time_qa_support'] = ""
     st.session_state['mental_health_check_in'] = ""
 
-# Add Clear Chat button using HTML
-if st.button("Clear All", key="clear_button", help="Click to clear all inputs"):
+# Add Clear Chat button
+if st.button("Clear All", key="clear_button"):
     clear_chat()
 
-# Personalized Learning Assistant
-st.header("Personalized Learning Assistant")
-with st.form(key="learning_form"):
-    topic_input = st.text_input("Enter a topic you want to learn about", key="topic_input", placeholder="e.g., Quantum Mechanics")
-    submit_button = st.form_submit_button("Generate Learning Material")
-    if submit_button:
-        if topic_input:
-            st.write(personalized_learning_assistant(topic_input))
-        else:
-            st.write("Please enter a topic.")
-
-# AI Coding Mentor
-st.header("AI Coding Mentor")
-with st.form(key="coding_form"):
-    code_input = st.text_area("Paste your code snippet", key="code_input", placeholder="e.g., for i in range(10): print(i)")
-    submit_button = st.form_submit_button("Get Coding Assistance")
-    if submit_button:
-        if code_input:
-            st.write(ai_coding_mentor(code_input))
-        else:
-            st.write("Please paste your code snippet.")
-
-# Smart Document Summarizer
-st.header("Smart Document Summarizer")
-with st.form(key="summary_form"):
-    doc_input = st.text_area("Paste the text of the document", key="doc_input", placeholder="e.g., Quantum computing is...")
-    submit_button = st.form_submit_button("Summarize Document")
-    if submit_button:
-        if doc_input:
-            st.write(smart_document_summarizer(doc_input))
-        else:
-            st.write("Please paste the document text.")
-
-# Interactive Study Planner
-st.header("Interactive Study Planner")
-with st.form(key="planner_form"):
-    schedule_input = st.text_area("Enter your exam schedule", key="schedule_input", placeholder="e.g., 3 exams in 1 week")
-    submit_button = st.form_submit_button("Generate Study Plan")
-    if submit_button:
-        if schedule_input:
-            st.write(interactive_study_planner(schedule_input))
-        else:
-            st.write("Please enter your exam schedule.")
-
-# Real-Time Q&A Support
-st.header("Real-Time Q&A Support")
-with st.form(key="qa_form"):
-    question_input = st.text_input("Ask any academic question", key="question_input", placeholder="e.g., What is Newton's second law?")
-    submit_button = st.form_submit_button("Get Answer")
-    if submit_button:
-        if question_input:
-            st.write(real_time_qa_support(question_input))
-        else:
-            st.write("Please ask a question.")
-
-# Mental Health Check-In
-st.header("Mental Health Check-In")
-with st.form(key="checkin_form"):
-    feelings_input = st.text_area("How are you feeling?", key="feelings_input", placeholder="e.g., Stressed about exams")
-    submit_button = st.form_submit_button("Check In")
-    if submit_button:
-        if feelings_input:
-            st.write(mental_health_check_in(feelings_input))
-        else:
-            st.write("Please describe your feelings.")
+# Navigation sidebar
+st.sidebar.title("EduNexus Tools")
+selected_tool = st.sidebar.radio(
+    "Select a tool",
+    ("Personalized Learning Assistant", "AI Coding Mentor", "Smart Document Summarizer",
+     "Interactive Study Planner", "Real-Time Q&A Support", "Mental Health Check-In")
+)
+
+# Display tool based on selection
+if selected_tool == "Personalized Learning Assistant":
+    st.header("Personalized Learning Assistant")
+    with st.form(key="learning_form"):
+        topic_input = st.text_input("Enter a topic you want to learn about", placeholder="e.g., Quantum Mechanics")
+        submit_button = st.form_submit_button("Get Explanation")
+        if submit_button:
+            explanation = personalized_learning_assistant(topic_input)
+            st.write(explanation)
+
+elif selected_tool == "AI Coding Mentor":
+    st.header("AI Coding Mentor")
+    with st.form(key="coding_form"):
+        code_input = st.text_area("Enter your code snippet", placeholder="e.g., def add(a, b): return a + b")
+        submit_button = st.form_submit_button("Review Code")
+        if submit_button:
+            review = ai_coding_mentor(code_input)
+            st.write(review)
+
+elif selected_tool == "Smart Document Summarizer":
+    st.header("Smart Document Summarizer")
+    with st.form(key="summarizer_form"):
+        document_input = st.text_area("Enter the text you want to summarize", placeholder="Paste document text here...")
+        submit_button = st.form_submit_button("Summarize Document")
+        if submit_button:
+            summary = smart_document_summarizer(document_input)
+            st.write(summary)
+
+elif selected_tool == "Interactive Study Planner":
+    st.header("Interactive Study Planner")
+    with st.form(key="planner_form"):
+        schedule_input = st.text_area("Enter your exam schedule", placeholder="e.g., 3 exams in 1 week")
+        submit_button = st.form_submit_button("Generate Study Plan")
+        if submit_button:
+            study_plan = interactive_study_planner(schedule_input)
+            st.write(study_plan)
+
+elif selected_tool == "Real-Time Q&A Support":
+    st.header("Real-Time Q&A Support")
+    with st.form(key="qa_form"):
+        question_input = st.text_input("Ask any academic question", placeholder="e.g., What is Newton's second law?")
+        submit_button = st.form_submit_button("Get Answer")
+        if submit_button:
+            answer = real_time_qa_support(question_input)
+            st.write(answer)
+
+elif selected_tool == "Mental Health Check-In":
+    st.header("Mental Health Check-In")
+    with st.form(key="checkin_form"):
+        feelings_input = st.text_area("How are you feeling?", placeholder="e.g., Stressed about exams")
+        submit_button = st.form_submit_button("Check In")
+        if submit_button:
+            advice = mental_health_check_in(feelings_input)
+            st.write(advice)