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Update app.py
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app.py
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```python
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import gradio as gr
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import
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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try:
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logger.info("Starting Gradio application on http://127.0.0.1:7860")
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demo.launch(
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share=False,
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server_name="127.0.0.1",
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server_port=7860,
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debug=True
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)
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except Exception as e:
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logger.error(f"Gradio launch failed: {str(e)}")
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logger.info("Trying alternative port 7861...")
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try:
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demo.launch(
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@@ -29,13 +159,6 @@ if __name__ == "__main__":
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except Exception as e2:
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logger.error(f"Gradio launch failed on port 7861: {str(e2)}")
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raise
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```
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**Changes**:
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- Added explicit `server_name="127.0.0.1"` for local binding.
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- Enabled `debug=True` for detailed Gradio logs.
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- Added a fallback to try port 7861 if 7860 fails.
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- Enhanced logging with `logging` module to capture initialization errors.
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import gradio as gr
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import fitz # PyMuPDF
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import torch
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from transformers import pipeline
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import time, logging, re
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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import io
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from PIL import Image
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from concurrent.futures import ThreadPoolExecutor
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Set device (CPU or GPU)
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device = 0 if torch.cuda.is_available() else -1
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logger.info(f"π§ Using {'GPU' if device == 0 else 'CPU'}")
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# Load model
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try:
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summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", device=device)
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except Exception as e:
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logger.error(f"β Model loading failed: {str(e)}")
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exit(1)
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def visualize_chunk_status(chunk_data):
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status_colors = {'summarized': 'green', 'skipped': 'orange', 'error': 'red'}
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labels = [f"C{i['chunk']}" for i in chunk_data]
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colors = [status_colors.get(i['status'], 'gray') for i in chunk_data]
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times = [i.get('time', 0.1) for i in chunk_data]
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fig, ax = plt.subplots(figsize=(10, 2.5))
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ax.barh(labels, times, color=colors)
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ax.set_xlabel("Time (s)")
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ax.set_title("π Chunk Processing Status")
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plt.tight_layout()
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buf = io.BytesIO()
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plt.savefig(buf, format='png')
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plt.close(fig)
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buf.seek(0)
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return Image.open(buf)
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def create_summary_flowchart(summaries):
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filtered = [
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s for s in summaries
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if s.startswith("**Chunk") and "Skipped" not in s and "Error" not in s
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]
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if not filtered:
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return None
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fig_height = max(2, len(filtered) * 0.8 + 1)
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fig, ax = plt.subplots(figsize=(6, fig_height))
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ax.axis('off')
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ypos = list(range(len(filtered) * 2, 0, -2))
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boxprops = dict(boxstyle="round,pad=0.5", facecolor="lightblue", edgecolor="black")
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for i, (y, summary) in enumerate(zip(ypos, filtered)):
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summary_text = summary.split("**Chunk")[1]
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summary_text = summary_text.replace("**:", ":").split("\n", 1)[-1].strip()
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if len(summary_text) > 120:
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summary_text = summary_text[:120] + "..."
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ax.text(0.5, y, summary_text, ha='center', va='center', bbox=boxprops, fontsize=9)
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if i < len(filtered) - 1:
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ax.annotate('', xy=(0.5, y - 1.2), xytext=(0.5, y - 0.3),
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arrowprops=dict(arrowstyle="->", lw=1.5))
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plt.tight_layout()
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buf = io.BytesIO()
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fig.savefig(buf, format='png', bbox_inches='tight')
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plt.close(fig)
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buf.seek(0)
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return Image.open(buf)
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def process_chunk(i, chunk):
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chunk_result = {'chunk': i + 1, 'status': '', 'time': 0}
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start_time = time.time()
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if sum(1 for c in chunk if not c.isalnum()) / len(chunk) > 0.5:
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result = f"**Chunk {i+1}**: Skipped (equation-heavy)"
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chunk_result['status'] = 'skipped'
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else:
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try:
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summary = summarizer(chunk, max_length=80, min_length=15, do_sample=False)[0]['summary_text']
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result = f"**Chunk {i+1}**:\n{summary}"
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chunk_result['status'] = 'summarized'
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except Exception as e:
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result = f"**Chunk {i+1}**: β Error: {str(e)}"
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chunk_result['status'] = 'error'
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chunk_result['time'] = time.time() - start_time
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return result, chunk_result
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def summarize_file(file_bytes):
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start = time.time()
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summaries = []
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chunk_info = []
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try:
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doc = fitz.open(stream=file_bytes, filetype="pdf")
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text = "".join(page.get_text("text") for page in doc)
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text = re.sub(r"\$\s*([^$]+)\s*\$", r"\1", text)
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text = re.sub(r"\\cap", "intersection", text)
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text = re.sub(r"\s+", " ", text).strip()
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text = "".join(c for c in text if ord(c) < 128)
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except Exception as e:
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return f"β Text extraction failed: {str(e)}", None, None
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if not text.strip():
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return "β No text found", None, None
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chunks = [text[i:i+1500] for i in range(0, min(len(text), 30000), 1500)]
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with ThreadPoolExecutor(max_workers=4) as executor:
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results = list(executor.map(lambda ic: process_chunk(*ic), enumerate(chunks)))
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for summary, info in results:
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summaries.append(summary)
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chunk_info.append(info)
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final_summary = f"**Processed chunks**: {len(chunks)}\n**Time**: {time.time() - start:.2f}s\n\n" + "\n\n".join(summaries)
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process_img = visualize_chunk_status(chunk_info)
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flow_img = create_summary_flowchart(summaries)
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return final_summary, process_img, flow_img
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demo = gr.Interface(
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fn=summarize_file,
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inputs=gr.File(label="π Upload PDF", type="binary"),
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outputs=[
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gr.Textbox(label="π Summary", lines=20),
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gr.Image(label="π Chunk Status", type="pil"),
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gr.Image(label="π Flow Summary", type="pil")
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],
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title="π PDF Summarizer with Visual Flow",
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description="Summarizes up to 30,000 characters from a PDF. Includes chunk status and flowchart visualizations."
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)
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if __name__ == "__main__":
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try:
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logger.info("Starting Gradio application on http://127.0.0.1:7860")
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demo.launch(
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share=False,
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server_name="127.0.0.1",
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server_port=7860,
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debug=True
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)
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except Exception as e:
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logger.error(f"Gradio launch failed on port 7860: {str(e)}")
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logger.info("Trying alternative port 7861...")
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try:
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demo.launch(
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except Exception as e2:
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logger.error(f"Gradio launch failed on port 7861: {str(e2)}")
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raise
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