Update app.py

app.py

@@ -9,14 +9,15 @@ rewriter = pipeline(
     "text2text-generation",
     model="google/flan-t5-large",
     tokenizer="google/flan-t5-large",
-    device_map="auto",   # runs on CPU if no GPU; will auto‑place on GPU if available
+    device_map="auto",   # runs on CPU if no GPU; auto‑places on GPU if available
 )
 
 def clean(txt: str) -> str:
-    """Strip non‑Latin‑1 chars and smart quotes so FPDF doesn't choke."""
+    """Strip non‑Latin‑1 chars (curly quotes, NB‑hyphens, etc.) so FPDF doesn't choke."""
     txt = (
         txt.replace("“", '"').replace("”", '"')
            .replace("’", "'").replace("‘", "'")
+           .replace("–", "-").replace("—", "-").replace("‑", "-")  # en/em/non‑break hyphens → ASCII hyphen
     )
     return unicodedata.normalize("NFKD", txt).encode("latin1", "ignore").decode("latin1")
 
@@ -33,6 +34,7 @@ QUESTIONS = [
 ]
 
 # ---------------- 3 | Rule‑based analytics ----------------
+
 def analyse(resp):
     findings, actions = [], []
 
@@ -70,6 +72,7 @@ def analyse(resp):
     return findings, actions
 
 # ---------------- 4 | Prompt builder ----------------
+
 def prompt_from(resp):
     findings, actions = analyse(resp)
     bullets_f = "\n".join(f"- {x}" for x in findings)
@@ -88,11 +91,13 @@ Use clear, concise, professional language.
 """
 
 # ---------------- 5 | PDF helper ----------------
+
 def to_pdf(text: str, company: str):
     pdf = FPDF()
     pdf.add_page()
     pdf.set_font("Arial", "B", 14)
-    pdf.multi_cell(0, 10, f"Compliance Report ‑ {company}", align="C")
+    header = clean(f"Compliance Report - {company}")  # clean company string too
+    pdf.multi_cell(0, 10, header, align="C")
     pdf.ln(5)
     pdf.set_font("Arial", "", 11)
     pdf.multi_cell(0, 8, clean(text))
@@ -101,8 +106,9 @@ def to_pdf(text: str, company: str):
     return tmp.name
 
 # ---------------- 6 | Gradio UI ----------------
+
 with gr.Blocks(title="AI Compliance & Governance Report") as demo:
-    gr.Markdown("## 🛡️  Compliance Survey → AI‑Written Report  \nFill in the survey and receive a polished PDF assessment.")
+    gr.Markdown("## 🛡️  Compliance Survey → AI‑Written Report  \nFill in the survey and receive a polished PDF assessment.")
 
     widgets = {}
     for q in QUESTIONS:
@@ -123,6 +129,7 @@ with gr.Blocks(title="AI Compliance & Governance Report") as demo:
     out_pdf = gr.File(label="Download PDF")
 
     # ---------------- 7 | Callback ----------------
+
     def run(*vals):
         data = dict(zip(widgets.keys(), vals))
         prompt = prompt_from(data)