Create app.py

app.py

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+import gradio as gr
+from pptx import Presentation
+from pptx.util import Inches
+import pdfplumber
+from transformers import pipeline
+import tempfile
+
+# Initialize the summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Function to process PDF and create PowerPoint
+def pdf_to_pptx(pdf_file):
+    # Step 1: Extract text from the PDF
+    pdf_text = ""
+    with pdfplumber.open(pdf_file) as pdf:
+        for page in pdf.pages:
+            pdf_text += page.extract_text()
+
+    # Step 2: Summarize text
+    def chunk_text(text, max_len=1024):
+        return [text[i:i+max_len] for i in range(0, len(text), max_len)]
+    
+    chunked_text = chunk_text(pdf_text)
+    summarized_text = " ".join([summarizer(chunk)[0]['summary_text'] for chunk in chunked_text])
+
+    # Step 3: Create PowerPoint presentation
+    presentation = Presentation()
+    slide_content = summarized_text.split(". ")
+
+    for i, content in enumerate(slide_content):
+        slide = presentation.slides.add_slide(presentation.slide_layouts[1])  # Title and Content layout
+        title = slide.shapes.title
+        body = slide.placeholders[1]
+        title.text = f"Slide {i+1}"  # Slide title
+        body.text = content  # Slide content
+
+    # Step 4: Save presentation to a temporary file and return path
+    temp_pptx = tempfile.NamedTemporaryFile(delete=False, suffix=".pptx")
+    presentation.save(temp_pptx.name)
+    return temp_pptx.name
+
+# Gradio app interface
+def generate_pptx(pdf_file):
+    pptx_file_path = pdf_to_pptx(pdf_file.name)
+    return pptx_file_path
+
+# Define Gradio interface
+interface = gr.Interface(
+    fn=generate_pptx,
+    inputs=gr.File(label="Upload PDF File"),
+    outputs=gr.File(label="Download PowerPoint Presentation"),
+    title="PDF to PowerPoint Converter",
+    description="Upload a PDF file to convert it into a professional PowerPoint presentation."
+)
+
+# Launch the app
+interface.launch()