Update app.py

app.py

@@ -67,55 +67,41 @@ def fetch_mp3_by_unique_id(unique_id: str) -> Tuple[str, str]:
 # ─────────────────────────────────────────────────────────────────────────────
 PROMPT_TEMPLATES = {
     "simple": (
-        "You are a call-center conversation analyst for a medical clinic. From the call recording, provide a brief summary:
-"
-        "- Purpose of the call (appointment / results / complaint / billing / other).
-"
-        "- Patient intent and expectations.
-"
-        "- Outcome (booked / call-back / routed / unresolved).
-"
-        "- Next steps (owner and when).
-"
-        "- Patient emotion (1–5) and agent tone (1–5).
-"
-        "- Alerts: urgency/risks/privacy.
-
-"
-        "Keep it short (6–8 lines). End with a line: ‘Service quality rating: X/5’ and one sentence explaining the rating."
+        """
+You are a call-center conversation analyst for a medical clinic. From the call recording, provide a brief summary:
+- Purpose of the call (appointment / results / complaint / billing / other).
+- Patient intent and expectations.
+- Outcome (booked / call-back / routed / unresolved).
+- Next steps (owner and when).
+- Patient emotion (1–5) and agent tone (1–5).
+- Alerts: urgency/risks/privacy.
+
+Keep it short (6–8 lines). End with a line: ‘Service quality rating: X/5’ and one sentence explaining the rating.
+"""
     ),
     "medium": (
-        "Act as a senior service analyst. Analyze the call using this structure:
-"
-        "1) Quick overview: reason for the call, intent, key facts, urgency (low/medium/high).
-"
-        "2) Call flow (2–4 bullets): what was asked/answered, where friction occurred.
-"
-        "3) Outcomes & tasks: concrete next actions for clinic/patient with timeframes.
-"
-        "4) Emotions & empathy: patient mood; agent empathy (0–5).
-"
-        "5) Procedural compliance: identity verification, disclosure of recording (if stated), no off-protocol medical advice, data accuracy.
-"
-        "6) Quality rating (0–100) using rubric: greeting, verification, accuracy, empathy, issue resolution (each 0–20)."
+        """
+Act as a senior service analyst. Analyze the call using this structure:
+1) Quick overview: reason for the call, intent, key facts, urgency (low/medium/high).
+2) Call flow (2–4 bullets): what was asked/answered, where friction occurred.
+3) Outcomes & tasks: concrete next actions for clinic/patient with timeframes.
+4) Emotions & empathy: patient mood; agent empathy (0–5).
+5) Procedural compliance: identity verification, disclosure of recording (if stated), no off-protocol medical advice, data accuracy.
+6) Quality rating (0–100) using rubric: greeting, verification, accuracy, empathy, issue resolution (each 0–20).
+"""
     ),
     "detailed": (
-        "You are a quality & operations analyst. Provide an in-depth analysis:
-"
-        "A) Segmentation: split the call into stages with approximate timestamps (if available) and roles (Patient/Agent).
-"
-        "B) Structured data for booking: full name (if stated), date of birth, phone, symptoms/complaints (list), onset/duration, possible pain level 0–10 (if mentioned), required specialist/service, preferred time windows, constraints.
-"
-        "C) Triage & risks: class (routine/urgent/emergency), red flags, whether immediate escalation is needed.
-"
-        "D) Compliance audit: identity/privacy checks, recording disclosure, consent to data processing, booking policies.
-"
-        "E) Conversation metrics: talk ratio (agent/patient), interruptions, long pauses, notable keywords.
-"
-        "F) Coaching for the agent: 3–5 concrete improvements with sample phrasing.
-
-"
-        "Deliver: (1) A short patient-chart summary (2–3 sentences). (2) A task table with columns: priority, owner, due."
+        """
+You are a quality & operations analyst. Provide an in-depth analysis:
+A) Segmentation: split the call into stages with approximate timestamps (if available) and roles (Patient/Agent).
+B) Structured data for booking: full name (if stated), date of birth, phone, symptoms/complaints (list), onset/duration, possible pain level 0–10 (if mentioned), required specialist/service, preferred time windows, constraints.
+C) Triage & risks: class (routine/urgent/emergency), red flags, whether immediate escalation is needed.
+D) Compliance audit: identity/privacy checks, recording disclosure, consent to data processing, booking policies.
+E) Conversation metrics: talk ratio (agent/patient), interruptions, long pauses, notable keywords.
+F) Coaching for the agent: 3–5 concrete improvements with sample phrasing.
+
+Deliver: (1) A short patient-chart summary (2–3 sentences). (2) A task table with columns: priority, owner, due.
+"""
     ),
 }
 
@@ -594,9 +580,9 @@ def ui_analyze_calls_by_date(
         # Upload + generate
         try:
             uploaded_file = client.files.upload(file=mp3_path)
-            merged = f"[SYSTEM INSTRUCTION: {sys_inst}]
+            merged = f"""[SYSTEM INSTRUCTION: {sys_inst}]
 
-{prompt}"
+{prompt}"""
             resp = client.models.generate_content(
                 model=model_name,
                 contents=[uploaded_file, merged],
@@ -694,10 +680,9 @@ def ui_fetch_or_auth(date_str: str, authed: bool):
 with gr.Blocks(title="Vochi CRM Call Logs (Gradio)") as demo:
     gr.Markdown(
         """
-        # Vochi CRM → MP3 → AI analysis
-        *Fetch daily calls, play/download MP3, and analyze the call with an AI model.*
-        
-        """
+# Vochi CRM → MP3 → AI analysis
+*Fetch daily calls, play/download MP3, and analyze the call with an AI model.*
+"""
     )
 
     # Auth state (False by default)