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app.py

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+# Import necessary libraries
+import os
+import streamlit as st
+from groq import Groq
+
+# Set up the Groq API Key
+GROQ_API_KEY = "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"
+os.environ["GROQ_API_KEY"] = GROQ_API_KEY
+
+# Initialize the Groq client
+client = Groq(api_key=GROQ_API_KEY)
+
+# Streamlit user input
+st.title("Personalized Study Assistant Chatbot")
+st.write("I’m here to help you organize your study plan with tailored resources and tips. Let's get started!")
+
+# User input for study details
+study_topic = st.text_input("What is your study topic or exam?")
+prep_days = st.number_input("How many days do you have to prepare?", min_value=1)
+hours_per_day = st.number_input("How many hours can you dedicate per day?", min_value=1)
+
+# Function to generate chatbot response based on user input
+def generate_study_plan(topic, days, hours):
+    prompt = (
+        f"I am a study assistant chatbot helping a user prepare for {topic} over {days} days "
+        f"with {hours} hours per day. Please provide a personalized study plan, tips for effective "
+        "study habits, and suggest specific resources for each session."
+    )
+
+    # Generate response using Groq API
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": prompt}],
+        model="llama3-8b-8192",
+    )
+    
+    response = chat_completion.choices[0].message.content
+    return response
+
+# Display study plan when user submits details
+if study_topic and prep_days and hours_per_day:
+    study_plan = generate_study_plan(study_topic, prep_days, hours_per_day)
+    st.write("### Your Study Plan")
+    st.write(study_plan)
+else:
+    st.write("Please enter your study topic, preparation days, and available hours per day to receive a study plan.")
+

requirements.txt

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+groq
+streamlit