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Update app.py
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app.py
CHANGED
@@ -1,129 +1,129 @@
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import gradio as gr
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import re
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import cv2
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import pytesseract
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import numpy as np
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from pytesseract import Output
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from PIL import Image
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# Define keywords for highlighting
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KEYWORDS = ["fatal", "unreachable", "ssh", "publickey", "psrp", "5985", "python", "sudo", "8081",
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"umask", "storage", "ssl/tls", "powershell", "authenticate"]
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ERROR_TYPES = {
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"ssh": "PORT ISSUE",
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"publickey": "KEYS ISSUE",
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"psrp": "PORT 5985 ISSUE",
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"5985": "PORT 5985 ISSUE",
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"python": "PYTHON ERROR",
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"sudo": "SUDO ISSUE",
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"8081": "PORT 8081 ISSUE",
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"umask": "UMASK77 ISSUE",
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"storage": "STORAGE ISSUE",
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"ssl/tls": "SSL/TLS ISSUE",
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"powershell": "POWERSHELL ISSUE",
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"authenticate": "AUTHENTICATION ISSUE"
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}
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ERROR_DOCS = {
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"KEYS ISSUE": "https://github.com/suryaT1/Documents/blob/main/keys-issue.md",
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"PORT ISSUE": "https://github.com/suryaT1/Documents/blob/main/port-issue.md",
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"PORT 5985 ISSUE": "https://github.com/suryaT1/Documents/blob/main/port5985-doc.md",
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"PYTHON ERROR": "https://github.com/suryaT1/Documents/blob/main/python-issue.md",
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"SUDO ISSUE": "https://github.com/suryaT1/Documents/blob/main/sudoers-issue.md",
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"PORT 8081 ISSUE": "https://github.com/suryaT1/Documents/blob/main/port8081-issue.md",
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"UMASK77 ISSUE": "https://github.com/suryaT1/Documents/blob/main/umask-issue.md",
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"STORAGE ISSUE": "https://github.com/suryaT1/Documents/blob/main/storage-issue.md",
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"SSL/TLS ISSUE": "https://github.com/suryaT1/Documents/blob/main/ssl_tls-issue.md",
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"POWERSHELL ISSUE": "https://github.com/suryaT1/Documents/blob/main/powershell-issue.md",
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"AUTHENTICATION ISSUE": "https://github.com/authentication-doc",
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}
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DEVICE_NAME_PATTERN = r'\[([A-Za-z0-9@.\-]+)(?:\s*->\s*[A-Za-z0-9@.\-]+)?\]'
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# Function to highlight keywords in text
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def highlight_keywords(text):
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for keyword in KEYWORDS:
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text = re.sub(rf'\b{keyword}\b', f'<b style="color:red;">{keyword}</b>', text, flags=re.IGNORECASE)
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return text
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# Extract text from an image
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def extract_text_from_image(image_path):
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image = Image.open(image_path)
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image_cv = np.array(image)
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image_cv = cv2.cvtColor(image_cv, cv2.COLOR_RGB2BGR)
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extracted_text = pytesseract.image_to_string(image_cv)
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return extracted_text.strip()
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# Label and detect error types in text
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def analyze_text(text):
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labeled_entities = []
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detected_errors = set()
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device_name = "Unknown"
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# Check for keywords
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for keyword in KEYWORDS:
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if keyword in text.lower():
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labeled_entities.append((keyword, "KEYWORD"))
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# Detect error types
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for key, error_type in ERROR_TYPES.items():
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if key in text.lower():
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detected_errors.add(error_type)
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# Extract device name
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device_match = re.search(DEVICE_NAME_PATTERN, text)
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if device_match:
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device_name = device_match.group(1)
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labeled_entities.append((device_name, "DEVICE"))
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return labeled_entities, detected_errors, device_name
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# Process the input (image or text)
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def process_input(image, text):
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extracted_text = ""
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if image is not None:
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extracted_text = extract_text_from_image(image)
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elif text.strip():
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extracted_text = text.strip()
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if not extracted_text:
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return "No text detected!", "", ""
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labeled_entities, detected_errors, device_name = analyze_text(extracted_text)
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# Highlighted text output
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highlighted_text = highlight_keywords(extracted_text)
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# Issue detection and documentation links
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logs_info = [f"Device: {device_name}, Issue: {error}" for error in detected_errors]
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docs_links = [f'<a href="{ERROR_DOCS[error]}" target="_blank">{error} Documentation</a>' for error in detected_errors if error in ERROR_DOCS]
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logs_html = "<br>".join(logs_info)
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docs_html = "<br>".join(docs_links)
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return highlighted_text, logs_html, docs_html
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# Gradio Interface
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with gr.Blocks() as demo:
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gr.Markdown("# Ansible Log Annotator")
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gr.Markdown("Upload a log image or enter log text below to extract and analyze errors.")
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with gr.Row():
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image_input = gr.File(type="filepath", label="Upload Log Image (PNG, JPG)")
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text_input = gr.Textbox(label="Or Paste Log Text", lines=5)
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with gr.Row():
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analyze_button = gr.Button("Analyze")
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with gr.Row():
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output_highlighted = gr.HTML(label="Highlighted Log")
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with gr.Row():
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output_logs = gr.HTML(label="Detected Issues")
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with gr.Row():
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output_docs = gr.HTML(label="Documentation Links")
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analyze_button.click(process_input, inputs=[image_input, text_input], outputs=[output_highlighted, output_logs, output_docs])
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demo.launch()
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import gradio as gr
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import re
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import cv2
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import pytesseract
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import numpy as np
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from pytesseract import Output
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from PIL import Image
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# Define keywords for highlighting
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KEYWORDS = ["fatal", "unreachable", "ssh", "publickey", "psrp", "5985", "python", "sudo", "8081",
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"umask", "storage", "ssl/tls", "powershell", "authenticate"]
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ERROR_TYPES = {
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"ssh": "PORT ISSUE",
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"publickey": "KEYS ISSUE",
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"psrp": "PORT 5985 ISSUE",
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"5985": "PORT 5985 ISSUE",
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"python": "PYTHON ERROR",
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"sudo": "SUDO ISSUE",
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"8081": "PORT 8081 ISSUE",
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"umask": "UMASK77 ISSUE",
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"storage": "STORAGE ISSUE",
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"ssl/tls": "SSL/TLS ISSUE",
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"powershell": "POWERSHELL ISSUE",
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"authenticate": "AUTHENTICATION ISSUE"
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}
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ERROR_DOCS = {
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"KEYS ISSUE": "https://github.com/suryaT1/Documents/blob/main/keys-issue.md",
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"PORT ISSUE": "https://github.com/suryaT1/Documents/blob/main/port-issue.md",
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"PORT 5985 ISSUE": "https://github.com/suryaT1/Documents/blob/main/port5985-doc.md",
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"PYTHON ERROR": "https://github.com/suryaT1/Documents/blob/main/python-issue.md",
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"SUDO ISSUE": "https://github.com/suryaT1/Documents/blob/main/sudoers-issue.md",
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"PORT 8081 ISSUE": "https://github.com/suryaT1/Documents/blob/main/port8081-issue.md",
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"UMASK77 ISSUE": "https://github.com/suryaT1/Documents/blob/main/umask-issue.md",
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"STORAGE ISSUE": "https://github.com/suryaT1/Documents/blob/main/storage-issue.md",
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"SSL/TLS ISSUE": "https://github.com/suryaT1/Documents/blob/main/ssl_tls-issue.md",
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"POWERSHELL ISSUE": "https://github.com/suryaT1/Documents/blob/main/powershell-issue.md",
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"AUTHENTICATION ISSUE": "https://github.com/authentication-doc",
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}
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DEVICE_NAME_PATTERN = r'\[([A-Za-z0-9@.\-]+)(?:\s*->\s*[A-Za-z0-9@.\-]+)?\]'
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# Function to highlight keywords in text
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def highlight_keywords(text):
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for keyword in KEYWORDS:
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text = re.sub(rf'\b{keyword}\b', f'<b style="color:red;">{keyword}</b>', text, flags=re.IGNORECASE)
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return text
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# Extract text from an image
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def extract_text_from_image(image_path):
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image = Image.open(image_path)
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image_cv = np.array(image)
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image_cv = cv2.cvtColor(image_cv, cv2.COLOR_RGB2BGR)
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extracted_text = pytesseract.image_to_string(image_cv)
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return extracted_text.strip()
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# Label and detect error types in text
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def analyze_text(text):
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labeled_entities = []
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detected_errors = set()
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device_name = "Unknown"
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# Check for keywords
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for keyword in KEYWORDS:
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if keyword in text.lower():
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labeled_entities.append((keyword, "KEYWORD"))
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# Detect error types
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for key, error_type in ERROR_TYPES.items():
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if key in text.lower():
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detected_errors.add(error_type)
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# Extract device name
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device_match = re.search(DEVICE_NAME_PATTERN, text)
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if device_match:
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device_name = device_match.group(1)
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labeled_entities.append((device_name, "DEVICE"))
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return labeled_entities, detected_errors, device_name
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# Process the input (image or text)
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def process_input(image, text):
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extracted_text = ""
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if image is not None:
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extracted_text = extract_text_from_image(image)
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elif text.strip():
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extracted_text = text.strip()
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if not extracted_text:
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return "No text detected!", "", ""
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labeled_entities, detected_errors, device_name = analyze_text(extracted_text)
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# Highlighted text output
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highlighted_text = highlight_keywords(extracted_text)
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# Issue detection and documentation links
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logs_info = [f"Device: {device_name}, Issue: {error}" for error in detected_errors]
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docs_links = [f'<a href="{ERROR_DOCS[error]}" target="_blank">{error} Documentation</a>' for error in detected_errors if error in ERROR_DOCS]
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logs_html = "<br>".join(logs_info)
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docs_html = "<br>".join(docs_links)
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return highlighted_text, logs_html, docs_html
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# Gradio Interface
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with gr.Blocks() as demo:
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gr.Markdown("# Ansible Log Annotator")
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gr.Markdown("Upload a log image or enter log text below to extract and analyze errors.")
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with gr.Row():
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image_input = gr.File(type="filepath", label="Upload Log Image (PNG, JPG)")
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text_input = gr.Textbox(label="Or Paste Log Text", lines=5)
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with gr.Row():
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analyze_button = gr.Button("Analyze")
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with gr.Row():
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output_highlighted = gr.HTML(label="Highlighted Log")
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with gr.Row():
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output_logs = gr.HTML(label="Detected Issues")
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with gr.Row():
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output_docs = gr.HTML(label="Documentation Links")
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analyze_button.click(process_input, inputs=[image_input, text_input], outputs=[output_highlighted, output_logs, output_docs])
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demo.launch()
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