Create app.py

app.py

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+import gradio as gr
+import fitz  # PyMuPDF
+from transformers import pipeline
+import textwrap
+
+# Load summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Extract text from PDF
+def extract_text_from_pdf(file_obj):
+    text = ""
+    with fitz.open(stream=file_obj.read(), filetype="pdf") as doc:
+        for page in doc:
+            text += page.get_text()
+    return text.strip().replace("\n", " ")
+
+# Chunk long text into manageable sizes
+def chunk_text(text, max_chunk_len=1000):
+    return textwrap.wrap(text, max_chunk_len)
+
+# Summarize long PDFs by chunking
+def summarize_long_pdf(file_obj):
+    full_text = extract_text_from_pdf(file_obj)
+    if not full_text:
+        return "❌ No readable text extracted from the PDF."
+
+    chunks = chunk_text(full_text, max_chunk_len=1000)
+    summaries = []
+
+    for i, chunk in enumerate(chunks):
+        try:
+            summary = summarizer(chunk, max_length=120, min_length=30, do_sample=False)[0]['summary_text']
+            summaries.append(f"🔹 Part {i+1}: {summary}")
+        except Exception as e:
+            summaries.append(f"⚠️ Error summarizing part {i+1}: {e}")
+
+    return "\n\n".join(summaries)
+
+# Gradio UI
+gr.Interface(
+    fn=summarize_long_pdf,
+    inputs=gr.File(label="📥 Upload Multi-page PDF"),
+    outputs=gr.Textbox(label="📝 Full Summary"),
+    title="📘 Multi-Page PDF Summarizer",
+    description="Upload long PDFs (e.g., Morningstar reports). Summarized in chunks using BART."
+).launch()