fixe the french

app.py

@@ -32,7 +32,7 @@ class ZarmaLanguageAnalyzer:
             return json.load(f)
     
     def _setup_models(self):
-        """Set up the Gemini-Flash-1.5 model via Google Generative AI API."""
+        """Set up the Gemini-2.0-flash model via Google Generative AI API."""
         # Get API key from environment variable
         api_key = os.getenv("GOOGLE_API_KEY")
         if not api_key:
@@ -41,7 +41,7 @@ class ZarmaLanguageAnalyzer:
         self.model = genai.GenerativeModel("gemini-2.0-flash")
         
         self.analysis_template = PromptTemplate(
-            input_variables=["sentence", "grammar_check", "glossary_info"],
+            input_variables=["sentence", "grammar_check", "glossary_info", "language"],
             template="""
             You are a Zarma language expert. Analyze this Zarma sentence: "{sentence}"
             Rely primarily on your expertise in Zarma grammar and meaning. Recognize proper nouns (e.g., names or places) as such unless the glossary explicitly contradicts this with a common Zarma meaning. Use the grammar check and glossary below as supplementary aids only—do not override your knowledge unless they provide clear, contextually relevant insight.
@@ -49,7 +49,7 @@ class ZarmaLanguageAnalyzer:
             {grammar_check}
             Glossary information (use it but prioritize your expertise to confirm):
             {glossary_info}
-            Provide a detailed linguistic analysis in this exact format, with no extra text outside the sections:
+            Provide a detailed linguistic analysis in {language} in this exact format, with no extra text outside the sections:
             1. WORD BREAKDOWN:
                - [List each word with its grammatical role and meaning, e.g., "Ay: 1st person singular pronoun, meaning 'I'."]
             2. LINGUISTIC INSIGHT:
@@ -247,17 +247,19 @@ class ZarmaLanguageAnalyzer:
             "   - Corrections: None provided."
         )
     
-    def analyze_sentence(self, sentence: str) -> dict:
-        """Full analysis pipeline for a Zarma sentence using Gemini-Flash-1.5."""
+    def analyze_sentence(self, sentence: str, lang: str = "en") -> dict:
+        """Full analysis pipeline for a Zarma sentence using Gemini-2.0-flash."""
         grammar_issues = self.check_grammar(sentence)
         formatted_grammar = self.format_grammar_issues(grammar_issues)
         glossary_results = self.translate_and_explain_words(sentence)
         formatted_glossary = self.format_glossary_info(glossary_results)
         
+        language = "English" if lang == "en" else "French"
         prompt = self.analysis_template.format(
             sentence=sentence,
             grammar_check=formatted_grammar,
-            glossary_info=formatted_glossary
+            glossary_info=formatted_glossary,
+            language=language
         )
         
         raw_analysis = ""
@@ -279,54 +281,56 @@ class ZarmaLanguageAnalyzer:
         }
     
     def format_output(self, results: dict, lang: str = "en") -> str:
-        """Format the analysis results for Gradio output in the selected language."""
+        """Format the analysis results for Gradio output in the selected language with table structure."""
         if lang == "fr":
             output = "=" * 80 + "\n"
-            output += "ANALYSEUR DE LANGUE ZARMA\n"
+            output += "| ANALYSEUR DE LANGUE ZARMA |\n"
             output += "=" * 80 + "\n\n"
             
-            output += "PHRASE ANALYSÉE :\n"
-            output += f"  \"{results['sentence']}\"\n\n"
+            output += "| **Section** | **Détails** |\n"
+            output += "|-------------|-------------|\n"
+            output += f"| Phrase Analysée | \"{results['sentence']}\" |\n"
+            output += f"| État de la Grammaire | {'Problèmes détectés' if results['grammar_issues'] else 'Correct'} |\n"
+            output += "|-------------|-------------|\n\n"
             
-            output += "ÉTAT DE LA GRAMMAIRE :\n"
-            output += f"  {'Problèmes détectés' if results['grammar_issues'] else 'Correct'}\n"
-            output += "-" * 80 + "\n"
+            output += "| **Analyse Détaillée** |\n"
+            output += "|-----------------------|\n"
+            output += f"| {results['analysis_result'].replace('\n', '<br>')} |\n"
+            output += "|-----------------------|\n\n"
             
-            output += "ANALYSE DÉTAILLÉE :\n"
-            output += results["analysis_result"] + "\n"
-            output += "-" * 80 + "\n"
-            
-            output += "SOURCES DE CONTEXTE FIABLES :\n"
+            output += "| **Sources de Contexte Fiables** |\n"
+            output += "|---------------------------------|\n"
             if results["retrieved_context"]:
                 for i, context in enumerate(results["retrieved_context"], 1):
-                    output += f"Source {i} :\n"
-                    output += context + "\n\n"
+                    output += f"| Source {i} : {context.replace('\n', '<br>')} |\n"
             else:
-                output += "  Aucune source de contexte fiable récupérée basée sur l'analyse.\n"
+                output += "| Aucune source de contexte fiable récupérée basée sur l'analyse. |\n"
+            output += "|---------------------------------|\n"
             output += "=" * 80
         else:  # Default to English
             output = "=" * 80 + "\n"
-            output += "ZARMA LANGUAGE ANALYZER\n"
+            output += "| ZARMA LANGUAGE ANALYZER |\n"
             output += "=" * 80 + "\n\n"
             
-            output += "SENTENCE ANALYZED:\n"
-            output += f"  \"{results['sentence']}\"\n\n"
-            
-            output += "GRAMMAR STATUS:\n"
-            output += f"  {'Issues detected' if results['grammar_issues'] else 'Correct'}\n"
-            output += "-" * 80 + "\n"
+            output += "| **Section** | **Details** |\n"
+            output += "|-------------|-------------|\n"
+            output += f"| Sentence Analyzed | \"{results['sentence']}\" |\n"
+            output += f"| Grammar Status | {'Issues detected' if results['grammar_issues'] else 'Correct'} |\n"
+            output += "|-------------|-------------|\n\n"
             
-            output += "DETAILED ANALYSIS:\n"
-            output += results["analysis_result"] + "\n"
-            output += "-" * 80 + "\n"
+            output += "| **Detailed Analysis** |\n"
+            output += "|-----------------------|\n"
+            output += f"| {results['analysis_result'].replace('\n', '<br>')} |\n"
+            output += "|-----------------------|\n\n"
             
-            output += "RELIABLE CONTEXT SOURCES:\n"
+            output += "| **Reliable Context Sources** |\n"
+            output += "|------------------------------|\n"
             if results["retrieved_context"]:
                 for i, context in enumerate(results["retrieved_context"], 1):
-                    output += f"Source {i}:\n"
-                    output += context + "\n\n"
+                    output += f"| Source {i}: {context.replace('\n', '<br>')} |\n"
             else:
-                output += "  No reliable context sources retrieved based on the analysis.\n"
+                output += "| No reliable context sources retrieved based on the analysis. |\n"
+            output += "|------------------------------|\n"
             output += "=" * 80
         
         return output
@@ -338,8 +342,8 @@ analyzer = ZarmaLanguageAnalyzer("grammar_rules.json", "glossary.json")
 def analyze_zarma_sentence(sentence, output_in_english):
     if not sentence.strip():
         return "Please enter a valid Zarma sentence." if output_in_english else "Veuillez entrer une phrase Zarma valide."
-    results = analyzer.analyze_sentence(sentence)
     lang = "en" if output_in_english else "fr"
+    results = analyzer.analyze_sentence(sentence, lang=lang)
     return analyzer.format_output(results, lang=lang)
 
 # Define the Gradio UI