Update app.py

app.py

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+# Import necessary libraries
+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 with few-shot prompting
+
+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."
+    ]
+    prompt = f"Here are some examples of explanations:\n\n{examples}\n\nNow, explain the topic: {topic}"
+    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."
+    ]
+    prompt = f"Here are some examples of code reviews:\n\n{examples}\n\nReview the following code snippet:\n{code_snippet}"
+    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.'"
+    ]
+    prompt = f"Here are some examples of summaries:\n\n{examples}\n\nSummarize this document:\n{document_text}"
+    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.'"
+    ]
+    prompt = f"Here are some examples of study plans:\n\n{examples}\n\nCreate a study plan for the following schedule:\n{exam_schedule}"
+    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.'"
+    ]
+    prompt = f"Here are some examples of Q&A responses:\n\n{examples}\n\nAnswer the following question:\n{question}"
+    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.'"
+    ]
+    prompt = f"Here are some examples of mental health advice:\n\n{examples}\n\nProvide advice for:\n{feelings}"
+    return call_groq_api(prompt)
+
+# Define Streamlit app
+st.title("EduNexus: The Ultimate AI-Powered Student Companion")
+
+# Personalized Learning Assistant
+st.header("Personalized Learning Assistant")
+topic_input = st.text_input("Enter a topic you want to learn about")
+if st.button("Generate Learning Material"):
+    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")
+code_input = st.text_area("Paste your code snippet")
+if st.button("Get Coding Assistance"):
+    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")
+doc_input = st.text_area("Paste the text of the document")
+if st.button("Summarize Document"):
+    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")
+schedule_input = st.text_area("Enter your exam schedule or important dates")
+if st.button("Generate Study Plan"):
+    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")
+question_input = st.text_input("Ask any academic question")
+if st.button("Get Answer"):
+    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")
+feelings_input = st.text_area("How are you feeling?")
+if st.button("Check In"):
+    if feelings_input:
+        st.write(mental_health_check_in(feelings_input))
+    else:
+        st.write("Please describe your feelings.")
+