Update app.py

app.py

@@ -1,134 +1,122 @@
 import streamlit as st
-import cv2
-from PIL import Image
-import numpy as np
-from imutils.video import VideoStream
+import base64
+from fpdf import FPDF
 import pikepdf
-import fpdf
 import fitz  # pymupdf
-import vidgear.gears
 
-# 🌟🔥 Set up the Streamlit UI with an impressive demo style!
-st.title("🚀 Impressive Library Demo Extravaganza")
-st.write("Watch these libraries flex their muscles with live demos producing real outputs!")
+# Define the 12-point ML outline with emojis
+ml_outline = [
+    "🌟 1. Mixture of Experts (MoE)",
+    "🔥 2. Supervised Fine-Tuning (SFT) using PyTorch",
+    "🤖 3. Large Language Models (LLM) using Transformers",
+    "📊 4. Self-Rewarding Learning using NPS 0-10 and Verbatims",
+    "👍 5. Reinforcement Learning from Human Feedback (RLHF)",
+    "🔗 6. MergeKit: Merging Models to Same Embedding Space",
+    "📏 7. DistillKit: Model Size Reduction with Spectrum Analysis",
+    "🧠 8. Agentic RAG Agents using Document Inputs",
+    "⏳ 9. Longitudinal Data Summarization from Multiple Docs",
+    "📑 10. Knowledge Extraction using Markdown Knowledge Graphs",
+    "🗺️ 11. Knowledge Mapping with Mermaid Diagrams",
+    "💻 12. ML Code Generation with Streamlit/Gradio/HTML5+JS"
+]
 
-# 📜 Demo Functions
-def demo_pikepdf():
-    pdf = pikepdf.Pdf.new()
-    pdf.pages.append(pikepdf.Page(pikepdf.Dictionary()))
-    pdf.save("demo_pikepdf.pdf")
-    return "demo_pikepdf.pdf"
+def create_pdf_with_library(library_name, outline_items):
+    if library_name == "fpdf":
+        pdf = FPDF(orientation='L', unit='mm', format='A4')
+        pdf.add_page()
+        pdf.set_font("Arial", size=10)
+        
+        # Left page (1-6)
+        pdf.set_xy(10, 10)
+        pdf.multi_cell(140, 5, "Cutting-Edge ML Areas (1-6)\n\n" + "\n".join(outline_items[:6]))
+        
+        # Right page (7-12)
+        pdf.set_xy(150, 10)
+        pdf.multi_cell(140, 5, "Cutting-Edge ML Areas (7-12)\n\n" + "\n".join(outline_items[6:]))
+        
+        filename = "ml_outline_fpdf.pdf"
+        pdf.output(filename)
+        return filename
 
-def demo_fpdf():
-    pdf = fpdf.FPDF()
-    pdf.add_page()
-    pdf.set_font("Arial", size=12)
-    pdf.cell(200, 10, txt="FPDF rocks!", ln=True)
-    pdf.output("demo_fpdf.pdf")
-    return "demo_fpdf.pdf"
+    elif library_name == "pikepdf":
+        pdf = pikepdf.Pdf.new()
+        page = pikepdf.Page(pdf.make_stream(b""))
+        # Simplified content for pikepdf
+        pdf.pages.append(page)
+        filename = "ml_outline_pikepdf.pdf"
+        pdf.save(filename)
+        return filename
 
-def demo_pymupdf():
-    doc = fitz.open()
-    page = doc.new_page()
-    page.insert_text((100, 100), "Pymupdf shines!")
-    doc.save("demo_pymupdf.pdf")
-    return "demo_pymupdf.pdf"
+    elif library_name == "pymupdf":
+        doc = fitz.open()
+        page = doc.new_page(width=842, height=595)  # A4 landscape
+        # Left column
+        page.insert_text((20, 20), "Cutting-Edge ML Areas (1-6)\n\n" + "\n".join(outline_items[:6]),
+                        fontsize=10)
+        # Right column
+        page.insert_text((422, 20), "Cutting-Edge ML Areas (7-12)\n\n" + "\n".join(outline_items[6:]),
+                        fontsize=10)
+        filename = "ml_outline_pymupdf.pdf"
+        doc.save(filename)
+        return filename
 
-def demo_opencv_image():
-    cap = cv2.VideoCapture(0)
-    ret, frame = cap.read()
-    if ret:
-        cv2.imwrite("demo_opencv.jpg", frame)
-        cap.release()
-        return "demo_opencv.jpg"
-    cap.release()
-    return None
+def get_binary_file_downloader_html(bin_file, file_label='File'):
+    with open(bin_file, 'rb') as f:
+        data = f.read()
+    bin_str = base64.b64encode(data).decode()
+    href = f'<a href="data:application/octet-stream;base64,{bin_str}" download="{file_label}">Download {file_label}</a>'
+    return href
 
-def demo_imutils():
-    vs = VideoStream(src=0).start()
-    frame = vs.read()
-    vs.stop()
-    if frame is not None:
-        cv2.imwrite("demo_imutils.jpg", cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
-        return "demo_imutils.jpg"
-    return None
+# Streamlit UI
+st.title("🚀 Cutting-Edge ML Outline Generator")
 
-def demo_vidgear():
-    stream = vidgear.gears.CamGear(source=0).start()
-    frame = stream.read()
-    stream.stop()
-    if frame is not None:
-        cv2.imwrite("demo_vidgear.jpg", frame)
-        return "demo_vidgear.jpg"
-    return None
+# Two-column layout
+col1, col2 = st.columns(2)
 
-# 🌟 Main Demo Interface
-st.sidebar.header("🎮 Demo Controls")
-demo_type = st.sidebar.selectbox("Choose a Demo Category", ["PDF", "Image Capture", "Video Capture"])
+with col1:
+    st.header("📝 Markdown Outline")
+    outline_text = "\n".join(ml_outline)
+    st.markdown(outline_text)
+    
+    # Download markdown file
+    md_file = "ml_outline.md"
+    with open(md_file, "w") as f:
+        f.write(outline_text)
+    st.markdown(get_binary_file_downloader_html(md_file, "ml_outline.md"), unsafe_allow_html=True)
 
-# 📜 PDF Demos
-if demo_type == "PDF":
-    st.subheader("📜 PDF Powerhouse")
-    demo = st.selectbox("Pick a PDF Demo", ["pikepdf", "fpdf2", "pymupdf"])
-    if st.button("Run PDF Demo"):
-        with st.spinner("Running demo..."):
-            try:
-                if demo == "pikepdf":
-                    result = demo_pikepdf()
-                    st.download_button("Download PDF", open(result, "rb").read(), file_name=result)
-                elif demo == "fpdf2":
-                    result = demo_fpdf()
-                    st.download_button("Download PDF", open(result, "rb").read(), file_name=result)
-                elif demo == "pymupdf":
-                    result = demo_pymupdf()
-                    st.download_button("Download PDF", open(result, "rb").read(), file_name=result)
-            except Exception as e:
-                st.error(f"Demo failed: {str(e)}")
+with col2:
+    st.header("📑 PDF Preview")
+    pdf_library = st.selectbox("Choose PDF Library", ["fpdf", "pikepdf", "pymupdf"])
+    
+    if st.button("Generate PDF"):
+        with st.spinner("Generating PDF..."):
+            pdf_file = create_pdf_with_library(pdf_library, ml_outline)
+            
+            # Auto-save and display PDF
+            with open(pdf_file, "rb") as f:
+                pdf_bytes = f.read()
+            
+            st.download_button(
+                label="Download PDF",
+                data=pdf_bytes,
+                file_name=pdf_file,
+                mime="application/pdf"
+            )
+            
+            # Display PDF
+            base64_pdf = base64.b64encode(pdf_bytes).decode('utf-8')
+            pdf_display = f'<iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="400" type="application/pdf"></iframe>'
+            st.markdown(pdf_display, unsafe_allow_html=True)
 
-# 📸 Image Capture Demos
-elif demo_type == "Image Capture":
-    st.subheader("📸 Image Snappers")
-    demo = st.selectbox("Pick an Image Demo", ["opencv-python", "imutils"])
-    if st.button("Run Image Demo"):
-        with st.spinner("Capturing image..."):
-            try:
-                if demo == "opencv-python":
-                    result = demo_opencv_image()
-                    if result:
-                        st.image(result, caption="Snapped with OpenCV!")
-                    else:
-                        st.error("Camera not detected!")
-                elif demo == "imutils":
-                    result = demo_imutils()
-                    if result:
-                        st.image(result, caption="Snapped with Imutils!")
-                    else:
-                        st.error("Camera not detected!")
-            except Exception as e:
-                st.error(f"Demo failed: {str(e)}")
-
-# 🎥 Video Capture Demos
-elif demo_type == "Video Capture":
-    st.subheader("🎥 Video Vanguards")
-    demo = st.selectbox("Pick a Video Demo", ["opencv-python", "vidgear"])
-    if st.button("Run Video Demo"):
-        with st.spinner("Capturing video frame..."):
-            try:
-                if demo == "opencv-python":
-                    result = demo_opencv_image()  # Using image capture as a proxy
-                    if result:
-                        st.image(result, caption="Frame from OpenCV Video!")
-                    else:
-                        st.error("Camera not detected!")
-                elif demo == "vidgear":
-                    result = demo_vidgear()
-                    if result:
-                        st.image(result, caption="Frame from VidGear Video!")
-                    else:
-                        st.error("Camera not detected!")
-            except Exception as e:
-                st.error(f"Demo failed: {str(e)}")
-
-# 📊 Results Display
-st.write("### Results")
-st.write("Check out your impressive outputs above!")
+# Add some style
+st.markdown("""
+<style>
+    .stButton>button {
+        background-color: #4CAF50;
+        color: white;
+    }
+    .stSelectbox {
+        max-width: 300px;
+    }
+</style>
+""", unsafe_allow_html=True)