Update app.py

app.py

@@ -1,4 +1,87 @@
+import os
 import streamlit as st
+from groq import Groq
+
+# Set the Groq API key
+os.environ["GROQ_API_KEY"] = "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"
+
+# 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"
+
+# Function to call Groq API
+def call_groq_api(prompt):
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[{"role": "user", "content": prompt}],
+            model=MODEL_NAME
+        )
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# 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."
+    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."
+    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."
+    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."
+    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."
+    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."
+    return call_groq_api(prompt)
+
+# Initialize session state if not already set
+if 'responses' not in st.session_state:
+    st.session_state['responses'] = {
+        "personalized_learning_assistant": "",
+        "ai_coding_mentor": "",
+        "smart_document_summarizer": "",
+        "interactive_study_planner": "",
+        "real_time_qa_support": "",
+        "mental_health_check_in": ""
+    }
 
 # Define Streamlit app
 st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide")
@@ -62,12 +145,6 @@ st.markdown("""
 
 # Define function to clear all inputs
 def clear_chat():
-    st.session_state['personalized_learning_assistant'] = ""
-    st.session_state['ai_coding_mentor'] = ""
-    st.session_state['smart_document_summarizer'] = ""
-    st.session_state['interactive_study_planner'] = ""
-    st.session_state['real_time_qa_support'] = ""
-    st.session_state['mental_health_check_in'] = ""
     st.session_state['responses'] = {
         "personalized_learning_assistant": "",
         "ai_coding_mentor": "",
@@ -125,8 +202,8 @@ elif selected_tool == "AI Coding Mentor":
 
 elif selected_tool == "Smart Document Summarizer":
     st.header("Smart Document Summarizer")
-    with st.form(key="document_form"):
-        document_input = st.text_area("Enter your document text", placeholder="Paste your document text here")
+    with st.form(key="summarizer_form"):
+        document_input = st.text_area("Paste your document text here", placeholder="e.g., The rise of electric vehicles...")
         submit_button = st.form_submit_button("Summarize Document")
         if submit_button:
             summary = smart_document_summarizer(document_input)
@@ -136,19 +213,19 @@ elif selected_tool == "Smart Document Summarizer":
 
 elif selected_tool == "Interactive Study Planner":
     st.header("Interactive Study Planner")
-    with st.form(key="study_form"):
-        exam_schedule_input = st.text_area("Enter your exam schedule", placeholder="e.g., 3 exams in one week")
-        submit_button = st.form_submit_button("Generate Study Plan")
+    with st.form(key="planner_form"):
+        schedule_input = st.text_area("Enter your exam schedule", placeholder="e.g., 3 exams in one week")
+        submit_button = st.form_submit_button("Create Study Plan")
         if submit_button:
-            plan = interactive_study_planner(exam_schedule_input)
-            st.session_state['responses']['interactive_study_planner'] = plan
+            study_plan = interactive_study_planner(schedule_input)
+            st.session_state['responses']['interactive_study_planner'] = study_plan
     if st.session_state['responses']['interactive_study_planner']:
         display_response("interactive_study_planner", st.session_state['responses']['interactive_study_planner'])
 
 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("Enter your question", placeholder="e.g., What is Newton's third law of motion?")
+        question_input = st.text_input("Ask a question", placeholder="e.g., What is Newton's third law?")
         submit_button = st.form_submit_button("Get Answer")
         if submit_button:
             answer = real_time_qa_support(question_input)
@@ -159,7 +236,7 @@ elif selected_tool == "Real-Time Q&A Support":
 elif selected_tool == "Mental Health Check-In":
     st.header("Mental Health Check-In")
     with st.form(key="mental_health_form"):
-        feelings_input = st.text_area("How are you feeling?", placeholder="e.g., Stressed about exams")
+        feelings_input = st.text_area("How are you feeling today?", placeholder="e.g., Stressed about exams")
         submit_button = st.form_submit_button("Get Advice")
         if submit_button:
             advice = mental_health_check_in(feelings_input)
@@ -167,12 +244,12 @@ elif selected_tool == "Mental Health Check-In":
     if st.session_state['responses']['mental_health_check_in']:
         display_response("mental_health_check_in", st.session_state['responses']['mental_health_check_in'])
 
-# Footer with acknowledgments
+# Add footer with contact information
 st.markdown("""
     <div class="footer">
-        <p>Developed by MUHAMMD IBRAHIM ❤ </p>
-        <a href="https://github.com/muhammadibrahim313"><i class="fab fa-github"></i></a>
-        <a href="https://www.kaggle.com/muhammadibrahimqasmi"><i class="fab fa-kaggle"></i></a>
-        <a href="https://www.linkedin.com/in/muhammad-ibrahim-qasmi-9876a1297/"><i class="fab fa-linkedin"></i></a>
+        <p>Powered by EduNexus</p>
+        <a href="https://twitter.com/yourhandle" target="_blank"><i class="fab fa-twitter"></i></a>
+        <a href="https://linkedin.com/in/yourprofile" target="_blank"><i class="fab fa-linkedin"></i></a>
+        <a href="mailto:your.email@example.com"><i class="fas fa-envelope"></i></a>
     </div>
 """, unsafe_allow_html=True)