Upload 3 files

analytics.csv

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+Title,Description,Link,Lessons,Price,Review Count
+Framework to Choose the Right LLM for your Business,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/choosing-the-right-LLM-for-your-business,6 Lessons,Free,(1)
+Improving Real World RAG Systems: Key Challenges & Practical Solutions,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/improving-real-world-rag-systems-key-challenges,12 Lessons,Free,(4)
+Building Smarter LLMs with Mamba and State Space Model,All Courses,https://courses.analyticsvidhya.com/courses/building-smarter-llms-with-mamba-and-state-space-model,14 Lessons,Free,No reviews
+Generative AI - A Way of Life - Free Course,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/genai-a-way-of-life,31 Lessons,Free,(10)
+Getting Started with Large Language Models,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/getting-started-with-llms,18 Lessons,Free,(22)
+Building LLM Applications using Prompt Engineering - Free Course,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/building-llm-applications-using-prompt-engineering-free,18 Lessons,Free,(8)
+MidJourney: From Inspiration to Implementation - Free Course,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/midjourney_from_inspiration_to_implementation,5 Lessons,Free,(2)
+Building Your first RAG System using LlamaIndex - Free Course,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/building-first-rag-systems-using-llamaindex,12 Lessons,Free,(9)
+Exploring Stability.AI - Free Course,"All Courses, 
+        
+      
+        
+          Generative AI",https://courses.analyticsvidhya.com/courses/exploring-stability-ai,7 Lessons,Free,(2)
+No title available,No description available,https://courses.analyticsvidhya.comNo link,No lesson count,No price available,No reviews
+Introduction to AI & ML,All Courses,https://courses.analyticsvidhya.com/courses/introduction-to-ai-ml,17 Lessons,Free,(190)
+Introduction to Python,"All Courses, 
+        
+      
+        
+          Tools, 
+        
+      
+        
+          Business Analytics Courses",https://courses.analyticsvidhya.com/courses/introduction-to-data-science,69 Lessons,Free,(1580)
+Machine Learning Certification Course for Beginners,All Courses,https://courses.analyticsvidhya.com/courses/Machine-Learning-Certification-Course-for-Beginners,261 Lessons,Free,(533)
+The Working of Neural Networks - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/The%20Working%20of%20Neural%20Networks,11 Lessons,Free,No reviews
+Understanding Linear Regression - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/free-understanding-linear-regression,10 Lessons,Free,(3)
+Building a Text Classification Model with Natural Language Processing - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/free-building-textclassification-natural-language-processing,16 Lessons,Free,(1)
+The A to Z of Unsupervised ML - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/free-unsupervised-ml-guide,13 Lessons,Free,No reviews
+Bagging and Boosting ML Algorithms - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/bagging-boosting-ML-Algorithms,16 Lessons,Free,No reviews
+Data Preprocessing on a Real-World Problem Statement - Free Course,All Courses,https://courses.analyticsvidhya.com/courses/data-preprocessing,13 Lessons,Free,(3)
+Introduction to Business Analytics,"All Courses, 
+        
+      
+        
+          Business Analytics Courses",https://courses.analyticsvidhya.com/courses/introduction-to-analytics,32 Lessons,Free,(424)
+Microsoft Excel: Formulas & Functions,Business Analytics Courses,https://courses.analyticsvidhya.com/courses/microsoft-excel-formulas-functions,33 Lessons,Free,(390)
+Tableau for Beginners,"All Courses, 
+        
+      
+        
+          Tools",https://courses.analyticsvidhya.com/courses/tableau-for-beginners,17 Lessons,Free,(240)
+Loan Prediction Practice Problem (Using Python),"All Courses, 
+        
+      
+        
+          Projects, 
+        
+      
+        
+          Machine Learning Courses",https://courses.analyticsvidhya.com/courses/loan-prediction-practice-problem-using-python,16 Lessons,Free,(358)
+Twitter Sentiment Analysis,"All Courses, 
+        
+      
+        
+          Projects, 
+        
+      
+        
+          Machine Learning Courses",https://courses.analyticsvidhya.com/courses/twitter-sentiment-analysis,18 Lessons,Free,(127)
+Introduction to Web Scraping using Python,All Courses,https://courses.analyticsvidhya.com/courses/introduction-to-web-scraping,13 Lessons,Free,(96)
+Big Mart Sales Prediction Using R,"All Courses, 
+        
+      
+        
+          Projects, 
+        
+      
+        
+          Machine Learning Courses",https://courses.analyticsvidhya.com/courses/big-mart-sales-prediction-using-r,19 Lessons,Free,(80)
+Time Series Forecasting using Python,"All Courses, 
+        
+      
+        
+          Projects, 
+        
+      
+        
+          Machine Learning Courses, 
+        
+      
+        
+          Business Analytics Courses",https://courses.analyticsvidhya.com/courses/creating-time-series-forecast-using-python,22 Lessons,Free,(209)

app.py

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+import streamlit as st
+from sentence_transformers import SentenceTransformer, util
+import pandas as pd
+import numpy as np
+
+# Load pre-trained model
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
+# Load the course data from CSV
+df = pd.read_csv('analytics.csv')
+
+# Generate embeddings for course titles and descriptions
+course_embeddings = model.encode(df['Title'] + ' ' + df['Description'], convert_to_tensor=True)
+
+# Function to search for courses based on a query
+def search_courses(query, top_n=5):
+    if top_n <= 0:
+        raise ValueError("top_n must be greater than zero")
+
+    query_embedding = model.encode(query, convert_to_tensor=True)
+    similarities = util.pytorch_cos_sim(query_embedding, course_embeddings)[0].numpy()
+
+    if np.any(np.isnan(similarities)) or np.any(np.isinf(similarities)):
+        raise ValueError("Similarity scores contain NaN or infinity values")
+
+    top_results = np.argsort(similarities)[::-1][:top_n]
+
+    results = []
+    for idx in top_results:
+        course_info = {
+            'Title': df.iloc[idx]['Title'],
+            'Description': df.iloc[idx]['Description'],
+            'Link': df.iloc[idx]['Link'],
+            'Relevance Score': similarities[idx].item()
+        }
+        results.append(course_info)
+
+    return results
+
+# Streamlit app configuration
+st.set_page_config(page_title="Smart Course Finder", layout="centered")
+
+# App title and description
+st.title("🔍 Smart Course Finder for Analytics Vidhya")
+st.markdown("""
+Find the best free courses that match your learning interests. Enter a keyword or topic to discover the most relevant courses available.
+""")
+
+# Input field for the query
+query = st.text_input("Enter your search query:", placeholder="e.g., Machine Learning, Data Science, Generative AI")
+
+# Search button and display results
+if st.button("Search") and query:
+    with st.spinner("Searching for courses..."):
+        try:
+            top_courses = search_courses(query)
+            if top_courses:
+                st.success("Top courses found:")
+                for course in top_courses:
+                    st.subheader(f"📘 {course['Title']}")
+                    st.write(f"**Description**: {course['Description']}")
+                    st.write(f"**Relevance Score**: {course['Relevance Score']:.2f}")
+                    st.markdown(f"[🔗 View Course]({course['Link']})", unsafe_allow_html=True)
+                    st.markdown("---")
+            else:
+                st.warning("No courses found for the given query. Try different keywords.")
+        except ValueError as e:
+            st.error(f"Error: {e}")
+
+# Footer with credits
+st.markdown("""
+---
+*Built with ❤️ using Streamlit and SentenceTransformers*
+""")