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app.py

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+import gradio as gr
+import pickle
+import pandas as pd
+from sentence_transformers import SentenceTransformer
+from sklearn.metrics.pairwise import cosine_similarity
+
+# Load model and data
+with open("course_emb.pkl", "rb") as f:
+    course_emb = pickle.load(f)
+
+df = pd.read_excel("analytics_vidhya_courses_Final.xlsx")
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
+def search_courses(query, top_n=5):
+    if not query.strip():
+        return "Please enter a search query."
+    
+    query_embedding = model.encode([query])
+    similarities = cosine_similarity(query_embedding, course_emb)
+    top_n_idx = similarities[0].argsort()[-top_n:][::-1]
+    
+    results = []
+    for idx in top_n_idx:
+        course = df.iloc[idx]
+        results.append({
+            "title": course["Course Title"],
+            "description": course["Course Description"],
+            "similarity": float(similarities[0][idx])
+        })
+    return results
+
+def gradio_interface(query):
+    results = search_courses(query)
+    if isinstance(results, str):
+        return results
+    
+    # Format results as HTML for better presentation
+    html_output = "<div style='font-family: Arial, sans-serif;'>"
+    
+    for i, course in enumerate(results, 1):
+        relevance = int(course['similarity'] * 100)
+        html_output += f"""
+        <div style='background: white; padding: 15px; margin: 10px 0; border-radius: 10px; box-shadow: 0 2px 4px rgba(0,0,0,0.1);'>
+            <h3 style='color: #2c3e50; margin: 0 0 10px 0;'>#{i}. {course['title']}</h3>
+            <div style='color: #7f8c8d; font-size: 0.9em; margin-bottom: 8px;'>Relevance: {relevance}%</div>
+            <p style='color: #34495e; margin: 0; line-height: 1.5;'>{course['description']}</p>
+        </div>
+        """
+    
+    html_output += "</div>"
+    return html_output
+
+# Create Gradio interface with improved styling
+css = """
+.gradio-container {
+    font-family: 'Arial', sans-serif;
+}
+"""
+
+with gr.Blocks(css=css) as iface:
+    gr.Markdown(
+        """
+        # 🎓 EduPath Explorer
+        Discover your ideal learning path! Simply describe what you want to learn, and let our AI find the perfect courses for you.
+        """
+    )
+    
+    with gr.Row():
+        query_input = gr.Textbox(
+            label="Describe Your Learning Goals",
+            placeholder="e.g., 'data visualization fundamentals' or 'deep learning with practical projects'",
+            scale=4
+        )
+    
+    with gr.Row():
+        search_button = gr.Button("🎯 Find My Courses", variant="primary")
+    
+    with gr.Row():
+        output = gr.HTML(label="Recommended Courses")
+    
+    search_button.click(
+        fn=gradio_interface,
+        inputs=query_input,
+        outputs=output,
+    )
+    
+    gr.Markdown(
+        """
+        ### 💡 Search Tips:
+        - Mention your current expertise level
+        - Include specific technologies or tools
+        - Describe your end goals
+        - Add preferred learning style (hands-on, theoretical, etc.)
+        """
+    )
+
+# Launch the interface
+iface.launch(share=True)