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app.py

@@ -1,138 +0,0 @@
-import gradio as gr
-import requests
-import uuid
-import os
-import pdfplumber
-import docx2txt
-import logging
-import shutil
-from langdetect import detect
-from multilingual_pdf2text.pdf2text import PDF2Text
-from multilingual_pdf2text.models.document_model.document import Document
-
-logging.basicConfig(level=logging.INFO)
-
-FLOWISE_URL = "http://localhost:3000/api/v1/prediction/3d1eebaf-31ee-44d6-94bc-4457948f5240"
-COUNTRIES = ["USA", "Germany", "UAE", "Turkey", "Jordan"]
-LANGUAGES = ["Arabic", "English", "German"]
-
-# Tesseract availability check
-print("🔍 Checking if Tesseract OCR is installed...")
-tess_path = shutil.which("tesseract")
-if tess_path:
-    print(f"✅ Tesseract found at: {tess_path}")
-else:
-    print("❌ Tesseract not found. Arabic PDF extraction will likely fail.")
-
-def extract_text_from_file(file_path):
-    ext = os.path.splitext(file_path)[1].lower()
-
-    try:
-        if ext == ".pdf":
-            with pdfplumber.open(file_path) as pdf:
-                extracted = "\n".join(page.extract_text() for page in pdf.pages if page.extract_text())
-
-            sample = extracted[:1000].strip()
-            if sample:
-                try:
-                    lang = detect(sample)
-                except Exception:
-                    lang = "unknown"
-
-                if lang == "ar":
-                    print("📄 Using Arabic-aware extractor for PDF.")
-                    try:
-                        arabic_doc = Document(document_path=file_path, language="ara")
-                        pdf2text = PDF2Text(document=arabic_doc)
-                        extracted = pdf2text.extract()
-                        if isinstance(extracted, list):
-                            if isinstance(extracted[0], dict):
-                                return "\n".join([item.get("text", "") for item in extracted])
-                            elif isinstance(extracted[0], str):
-                                return "\n".join(extracted)
-                        elif isinstance(extracted, str):
-                            return extracted
-                        else:
-                            return "[Error: Unexpected format in extracted text.]"
-                    except Exception as e:
-                        print(f"❌ Arabic PDF extraction failed: {e}")
-                        return "[Error: Failed to extract Arabic text from PDF.]"
-                else:
-                    return extracted
-            else:
-                arabic_doc = Document(document_path=file_path, language="ara")
-                pdf2text = PDF2Text(document=arabic_doc)
-                extracted = pdf2text.extract()
-                if isinstance(extracted, list):
-                    if isinstance(extracted[0], dict):
-                        return "\n".join([item.get("text", "") for item in extracted])
-                    elif isinstance(extracted[0], str):
-                        return "\n".join(extracted)
-                elif isinstance(extracted, str):
-                    return extracted
-                else:
-                    return "[Error: Unexpected format in extracted text.]"
-
-        elif ext == ".docx":
-            return docx2txt.process(file_path)
-
-        elif ext == ".txt":
-            with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
-                return f.read()
-
-        else:
-            return "[Unsupported file format]"
-
-    except Exception as e:
-        return f"[Error reading file: {e}]"
-
-
-def send_to_flowise(file, country, language):
-    if file is None or not country or not language:
-        return "❗Please upload a contract, select a country and language."
-
-    try:
-        contract_text = extract_text_from_file(file.name)
-        if not contract_text.strip():
-            return "⚠️ Could not read any content from the uploaded file."
-
-        prompt = f"""Please audit the following employment contract in light of {country} labor law.
-Only refer to the provided law document (do not use external knowledge).
-Is the contract compliant? Provide reasoning and highlight any issues, and suggest improvements.
-Be precise and don't miss any details in the contract.
-Please respond in {language}.
-<CONTRACT START>
-{contract_text}
-<CONTRACT END>
-"""
-
-        payload = {
-            "question": prompt,
-            "chatId": str(uuid.uuid4())  
-        }
-
-        res = requests.post(FLOWISE_URL, json=payload, timeout=300)
-        print("🔍 Flowise raw response:", res.text)
-
-        if res.status_code != 200:
-            return f"❌ Flowise error {res.status_code}: {res.text}"
-
-        return res.json().get("text", "⚠️ Flowise returned no text.")
-
-    except Exception as e:
-        return f"❌ Connection error: {e}"
-
-with gr.Blocks(title="Contract Auditor") as demo:
-    gr.Markdown("## 📑 Contract Auditor")
-
-    with gr.Row():
-        country_dropdown = gr.Dropdown(choices=COUNTRIES, label="🌍 Select Country", interactive=True)
-        language_dropdown = gr.Dropdown(choices=LANGUAGES, label="🗣️ Response Language", interactive=True)
-        file_input = gr.File(label="📎 Upload a contract file", file_types=[".pdf", ".docx", ".txt"], type="filepath")
-
-    submit_btn = gr.Button("📤 Audit Contract")
-    output = gr.Textbox(label="🧠 Audit Result", lines=12)
-
-    submit_btn.click(fn=send_to_flowise, inputs=[file_input, country_dropdown, language_dropdown], outputs=output)
-
-demo.launch()