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app.py

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+import gradio as gr
+import os
+import re
+import time
+import nltk
+from datetime import datetime
+from pptx import Presentation
+from pptx.util import Inches, Pt
+from pptx.dml.color import RGBColor
+from pptx.enum.shapes import MSO_SHAPE
+import PyPDF2
+from docx import Document
+
+# ==========================================
+# PARTIE 1 : INTELLIGENCE & ANALYSE (AI)
+# ==========================================
+class AIEnhance:
+    def __init__(self):
+        try:
+            nltk.download('punkt', quiet=True)
+            nltk.download('punkt_tab', quiet=True)
+        except:
+            pass
+
+    def create_intelligent_outline(self, text: str):
+        text = text.replace('\n', ' ').strip()
+        try:
+            sentences = nltk.sent_tokenize(text)
+        except:
+            sentences = [s.strip() for s in text.split('.') if len(s) > 10]
+            
+        doc_type = self._detect_type(text)
+        data_points = [s for s in sentences if re.search(r'\d+%|\d+\s?millions|FCFA', s)]
+        
+        outline = {
+            "title": sentences[0][:80] if sentences else "Analyse de Document",
+            "slides": []
+        }
+
+        # Slide de Titre
+        outline["slides"].append({
+            "type": "title", 
+            "title": outline["title"].upper(), 
+            "subtitle": f"DIVISION PROSPECTIVE | Lab_Math & Labhp\nType : {doc_type.upper()}"
+        })
+
+        # Slide de Plan (Sommaire)
+        plan = ["Contexte", "Analyse détaillée", "Résultats & Chiffres", "Recommandations", "Conclusion"]
+        outline["slides"].append({"type": "plan", "title": "PLAN DE PRÉSENTATION", "content": plan})
+
+        # Développement (Logique adaptative)
+        outline["slides"].append({"type": "content", "title": "I. INTRODUCTION ET CONTEXTE", "content": sentences[1:4]})
+        
+        if data_points:
+            outline["slides"].append({"type": "content", "title": "II. ANALYSE DES DONNÉES CHIFFRÉES", "content": data_points[:5]})
+        
+        outline["slides"].append({"type": "content", "title": "III. ENJEUX ET DÉFIS", "content": sentences[4:8][:4]})
+        outline["slides"].append({"type": "content", "title": "IV. RECOMMANDATIONS STRATÉGIQUES", "content": sentences[-6:-2]})
+
+        # Slide de Remerciements Multilingues
+        outline["slides"].append({
+            "type": "thanks", 
+            "title": "MERCI POUR VOTRE ATTENTION", 
+            "content": ["Thank you (English)", "Gracias (Español)", "Danke (Deutsch)", "شكra لك (Arab)", "Asante (Swahili)", "Merci beaucoup"]
+        })
+
+        return outline
+
+    def _detect_type(self, text):
+        t = text.lower()
+        if any(x in t for x in ['méthode', 'résultats', 'étude']): return "Rapport d'Étude"
+        if any(x in t for x in ['procès', 'réunion', 'ordre du jour']): return "Compte-rendu"
+        return "Note de Synthèse"
+
+# ==========================================
+# PARTIE 2 : DESIGN & GÉNÉRATION (PPTX)
+# ==========================================
+class PresentationGenerator:
+    def __init__(self):
+        self.blue_primary = RGBColor(0, 51, 102) # Bleu Lab_Math
+        self.gold_accent = RGBColor(218, 165, 32)
+
+    def generate(self, outline):
+        prs = Presentation()
+        prs.slide_width, prs.slide_height = Inches(13.33), Inches(7.5) # Format 16:9
+
+        for data in outline["slides"]:
+            stype = data["type"]
+            layout = prs.slide_layouts[0] if stype == "title" else prs.slide_layouts[1]
+            slide = prs.slides.add_slide(layout)
+
+            # --- DESIGN : Bandeau de Design Lab_Math ---
+            # Rectangle décoratif en haut
+            header_rect = slide.shapes.add_shape(MSO_SHAPE.RECTANGLE, 0, 0, prs.slide_width, Inches(0.15))
+            header_rect.fill.solid()
+            header_rect.fill.fore_color.rgb = self.blue_primary
+            header_rect.line.fill.background()
+
+            # --- REMPLISSAGE ---
+            title_shape = slide.shapes.title
+            title_shape.text = data["title"]
+            title_shape.text_frame.paragraphs[0].font.color.rgb = self.blue_primary
+            title_shape.text_frame.paragraphs[0].font.bold = True
+
+            if stype == "title":
+                if slide.placeholders[1]:
+                    slide.placeholders[1].text = data["subtitle"]
+            else:
+                body = slide.placeholders[1]
+                tf = body.text_frame
+                tf.word_wrap = True
+                for point in data["content"]:
+                    p = tf.add_paragraph()
+                    p.text = f"  •  {point}"
+                    p.font.size = Pt(22)
+                    p.space_before = Pt(12)
+            
+            # Signature bas de page
+            self._add_footer(slide)
+
+        output_path = f"Presentation_LabMath_{int(time.time())}.pptx"
+        prs.save(output_path)
+        return output_path
+
+    def _add_footer(self, slide):
+        tx = slide.shapes.add_textbox(Inches(10.5), Inches(7.1), Inches(2.5), Inches(0.4))
+        tx.text_frame.text = "© 2024 Lab_Math & Labhp"
+        p = tx.text_frame.paragraphs[0]
+        p.font.size = Pt(9)
+        p.font.color.rgb = RGBColor(150, 150, 150)
+
+# ==========================================
+# PARTIE 3 : INTERFACE & LOGIQUE DE FICHIER
+# ==========================================
+ai = AIEnhance()
+gen = PresentationGenerator()
+
+def extract_text(file_obj):
+    if file_obj.name.endswith('.pdf'):
+        reader = PyPDF2.PdfReader(file_obj.name)
+        return " ".join([p.extract_text() for p in reader.pages if p.extract_text()])
+    elif file_obj.name.endswith('.docx'):
+        doc = Document(file_obj.name)
+        return " ".join([p.text for p in doc.paragraphs])
+    else:
+        with open(file_obj.name, 'r', encoding='utf-8', errors='ignore') as f:
+            return f.read()
+
+def main_process(input_file):
+    if input_file is None: return None, "Erreur : Aucun fichier uploadé."
+    try:
+        text = extract_text(input_file)
+        if len(text) < 50: return None, "Le document est trop court pour être analysé."
+        
+        outline = ai.create_intelligent_outline(text)
+        pptx_file = gen.generate(outline)
+        return pptx_file, "✅ Présentation générée avec succès !"
+    except Exception as e:
+        return None, f"⚠️ Erreur système : {str(e)}"
+
+# Interface utilisateur Gradio
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("""
+    # 🎤 Lab_Math & Labhp AI Presentation Builder
+    ### Système Intelligent de Génération de Slides Professionnels
+    Déposez vos documents (PDF, Word, TXT) pour une transformation automatique.
+    """)
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            file_input = gr.File(label="Déposer le document ici", file_types=[".pdf", ".docx", ".txt"])
+            generate_btn = gr.Button("🚀 GÉNÉRER LA PRÉSENTATION", variant="primary")
+        
+        with gr.Column(scale=1):
+            file_output = gr.File(label="Télécharger votre PowerPoint (.pptx)")
+            status_text = gr.Textbox(label="Statut du traitement", interactive=False)
+
+    generate_btn.click(
+        fn=main_process, 
+        inputs=file_input, 
+        outputs=[file_output, status_text]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -1,5 +1,5 @@
-gradio
-python-pptx
-python-docx
-PyPDF2
-nltk
+gradio
+python-pptx
+python-docx
+PyPDF2
+nltk