Delete Test/app.py

Test/app.py

@@ -1,46 +0,0 @@
-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()