Update app.py

app.py

@@ -1,87 +1,4 @@
-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")
@@ -121,6 +38,25 @@ st.markdown("""
     .stSidebar .stMarkdown {
         color: #ffffff;
     }
+    .footer {
+        background-color: #1e1e2f; 
+        padding: 10px; 
+        text-align: center; 
+        color: #ffffff; 
+        border-top: 1px solid #ff9a8b;
+    }
+    .footer a {
+        color: #ff9a8b; 
+        margin: 0 10px; 
+        text-decoration: none; 
+        font-size: 18px;
+    }
+    .footer a:hover {
+        color: #ffffff;
+    }
+    .footer i {
+        font-size: 20px;
+    }
     </style>
 """, unsafe_allow_html=True)
 
@@ -233,9 +169,10 @@ elif selected_tool == "Mental Health Check-In":
 
 # Footer with acknowledgments
 st.markdown("""
-    <footer style="background-color: #1e1e2f; padding: 10px; text-align: center; color: #ffffff;">
-        <p>&copy; 2024 EduNexus. All Rights Reserved.</p>
-        <p>Created with ❤️ by [Your Name]</p>
-        <p><a href="mailto:your.email@example.com" style="color: #ff9a8b;">Contact Us</a></p>
-    </footer>
+    <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>
+    </div>
 """, unsafe_allow_html=True)