Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import spacy
+from io import StringIO
+
+# Load Hugging Face's pre-trained NER model
+nlp = pipeline("ner", model="dbmdz/bert-large-cased-finetuned-conll03-english")
+
+# Sample regulations database (can be expanded with more detailed regulations)
+regulations = {
+    "pollution_limit": "Air pollution should not exceed 100 µg/m³ of particulate matter.",
+    "waste_management": "Waste should be sorted into recyclable and non-recyclable categories.",
+}
+
+# Function to check compliance with regulations
+def check_compliance(document_text):
+    entities = nlp(document_text)
+    compliance_feedback = []
+    
+    # Check for pollution limit violations
+    if "pollution" in document_text.lower():
+        compliance_feedback.append("Check pollution limits: Ensure PM2.5 does not exceed 100 µg/m³.")
+    
+    # Check for waste management practices
+    if "waste" in document_text.lower():
+        compliance_feedback.append("Check waste management: Ensure waste is properly sorted.")
+    
+    return compliance_feedback
+
+# Streamlit App
+st.title("🌱 Environmental Compliance Checker")
+
+# Upload document
+uploaded_file = st.file_uploader("Upload Environmental Report", type=["txt", "pdf", "docx"])
+
+if uploaded_file is not None:
+    # Read the file content
+    file_content = uploaded_file.read().decode("utf-8")  # assuming it's a text file
+    st.text_area("Uploaded Document", file_content, height=300)
+
+    # Check compliance with regulations
+    st.subheader("Compliance Feedback")
+    feedback = check_compliance(file_content)
+    
+    if feedback:
+        for item in feedback:
+            st.write(f"- {item}")
+    else:
+        st.write("No compliance issues found.")
+    
+    # Optional: Provide NLP-based analysis or highlight regulations mentioned in the document
+    st.subheader("Regulation Mentions in Document")
+    entities = nlp(file_content)
+    for entity in entities:
+        st.write(f"Entity: {entity['word']} - Label: {entity['entity']}")
+
+else:
+    st.write("Please upload a document to check compliance.")
+