Update app_core.py

app_core.py

@@ -31,29 +31,46 @@ MODEL_CHAT = "gpt-4o-mini"      # outline + narration
 MODEL_TTS  = "tts-1"            # OpenAI TTS voice
 VOICE_ID   = "alloy"
 MAX_SLIDES = 10
-AUDIO_SPEED = 1.5               # 1.0 = normal, 1.5 ≈ 50 % faster
+AUDIO_SPEED = 1.0               # 1.0 = normal, 1.5 ≈ 50 % faster
 
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 # ------------------------------------------------------------------
 # 1.  OUTLINE PROMPT
 # ------------------------------------------------------------------
-PROMPT_JSON = textwrap.dedent(f"""
-You are a presentation-outliner. (json!)
-
-• Maximum slides: {MAX_SLIDES} (incl. title)
-• First slide = "title".
-• Prefer "list" slides whenever possible (≤ 5 bullets).
-• Allowed types: "list" | "text" | "quote" | "code"
-• Preserve ``` code ``` verbatim.
-
-Return **only**
-{{
-  "slides":[
-    {{ "{{" }} "slide_idx":N, "type":"…", "title":"…", "body":… {{ "}}" }},
-    …
-  ]
-}}
+PROMPT_JSON = textwrap.dedent("""
+    You are a presentation-outliner.
+    The user needs VALID json only — no extra commentary. (json!)
+
+    ✦ Rules
+      0. Total slides ≤ 10 (including the title slide).
+        • If the source text is longer, merge or summarise content to stay within 10 slides.
+
+      1. First slide MUST be type "title":
+          { "slide_idx":1, "type":"title", "title":"…", "body":"" }
+        (body may stay empty)
+
+      2. Prefer **"list"** whenever possible.
+      +    • Break sentences into concise bullet-points.
+      +    • Use "text" only when the content truly cannot be listed.
+      +    Allowed types:
+      +      "list"  – array, ≤ 5 items   ← _default choice_
+      +      "text"  – short paragraph
+      +      "quote" – short quotation or bold statement
+      +      "code"  – code block, copy verbatim from ``` fences
+
+      3. Preserve every ``` … ``` code block unchanged.
+
+      4. Return this exact schema:
+          {
+            "slides":[
+              { "slide_idx":N, "type":"…", "title":"…", "body":… },
+              …               // ≤ 9 more objects after the title slide
+            ]
+          }
+
+    Output the json only.
+
 """).strip()
 
 def text_to_outline(raw_text: str) -> list:
@@ -107,11 +124,23 @@ def slide_to_html(slide: dict) -> str:
 # 3.  NARRATION PROMPT
 # ------------------------------------------------------------------
 PROMPT_NARR = textwrap.dedent("""
-You are a friendly narrator. (json!)
-
-For every slide write 2-3 warm sentences (25–60 words) that match its content.
-Return:
-{ "narration":[ { "slide_idx":N, "voice_text":"..." }, … ] }
+You are a friendly, motivational voice-over writer.
+  The user needs VALID json only — no extra commentary. (json!)
+
+  Source:
+    • "raw_text"  — full original article
+    • "slides"    — list of slide dictionaries (title, type, body)
+
+  Task for EACH slide in order:
+    • Write **at least two sentences** (≈ 25–60 words total).
+    • Use the slide’s visible content **and** extra context from raw_text.
+    • Keep a welcoming tone: encourage, explain, or add a useful tip.
+    • Mention code or quote briefly (“In this code snippet you’ll see …”).
+    • First slide  → start with a warm greeting + slide title.
+    • Last slide   → quick recap + short friendly goodbye.
+
+  Output exactly:
+    { "narration":[ { "slide_idx":N, "voice_text":"..." }, … ] }
 """).strip()
 
 def narration(raw_text:str, slides:list) -> list: