Upload slide_generator.py with huggingface_hub

slide_generator.py

@@ -9,7 +9,7 @@ _api_key = os.environ.get("GROQ_API_KEY") or os.environ.get("HF_TOKEN")
 client = InferenceClient(api_key=_api_key)
 
 SYSTEM_PROMPT = (
-    "You are an expert presentation designer. "
+    "You are an expert presentation designer and subject-matter expert. "
     "Return only valid JSON — no markdown fences, no extra text."
 )
 
@@ -37,7 +37,7 @@ def generate_presentation(topic: str, style: str, num_slides: int,
         f"\nKey points to include: {key_points}" if key_points.strip() else ""
     )
 
-    user_prompt = f"""Create a {style.lower()} presentation about: "{topic}"
+    user_prompt = f"""Create a detailed, informative {style.lower()} presentation about: "{topic}"
 Target audience: {audience}
 Number of slides: {num_slides} (including title slide){key_points_section}
 
@@ -51,25 +51,33 @@ Return a JSON object with this EXACT structure:
       "type": "title",
       "title": "Presentation Title",
       "subtitle": "Subtitle or tagline",
-      "image_keyword": "relevant photo keyword for background",
-      "speaker_notes": "Opening notes for the presenter"
+      "image_keyword": "relevant 2-3 word photo search term",
+      "speaker_notes": "Detailed opening notes for the presenter, 3-4 sentences."
     }},
     {{
       "slide_number": 2,
       "type": "content",
       "title": "Slide Title",
-      "bullets": ["Point one", "Point two", "Point three"],
-      "image_keyword": "2-3 word photo search term relevant to this slide",
-      "speaker_notes": "What to say during this slide"
+      "bullets": [
+        "First key point with sufficient detail and explanation to be meaningful",
+        "Second point that elaborates on a core concept with specific data or insight",
+        "Third point covering an important aspect with supporting context",
+        "Fourth point with actionable information or a compelling statistic",
+        "Fifth point summarizing implications or real-world applications"
+      ],
+      "image_keyword": "relevant 2-3 word photo search term for this slide",
+      "speaker_notes": "Detailed speaker notes for this slide, 3-4 sentences explaining what to say and emphasize."
     }}
   ]
 }}
 
 Rules:
 - First slide must be type "title" with subtitle field
-- All other slides type "content" with bullets array (3-5 items, max 12 words each)
-- image_keyword: 2-3 words describing a real-world photo relevant to the slide (e.g. "solar panels field", "team meeting office", "brain neuroscience")
-- Speaker notes: 2-3 sentences
+- All other slides type "content" with bullets array
+- Each slide must have EXACTLY 5 bullet points
+- Each bullet point: 15-25 words, informative and specific — include facts, data, or clear explanations. No vague one-liners.
+- image_keyword: 2-3 descriptive words for a real-world photo (e.g. "solar panels field", "brain neuroscience scan", "city skyline night")
+- speaker_notes: 3-4 detailed sentences per slide
 - Total slides: exactly {num_slides}
 - Return only the JSON object, nothing else
 """
@@ -81,7 +89,7 @@ Rules:
             {"role": "user", "content": user_prompt},
         ],
         temperature=0.7,
-        max_tokens=4096,
+        max_tokens=6000,
     )
 
     raw = response.choices[0].message.content