ij

app.py

@@ -154,19 +154,18 @@ def analyze():
         # Select prompt based on analysis type
         prompt = PROMPT_TEXT if analysis_type == 'text' else PROMPT_IMAGE
 
-        # Generate content with streaming
-        def generate():
-            for chunk in client.models.generate_content_stream(
-                model="gemini-flash-latest",
-                contents=[prompt] + image_parts,
-                config=types.GenerateContentConfig(
-                    thinking_config=types.ThinkingConfig(include_thoughts=True),
-                    safety_settings=safety_settings
-                )
-            ):
-                for part in chunk.candidates[0].content.parts:
-                    if part.text:
-                        yield part.text
+        # Generate content with streaming
+        def generate():
+            for chunk in client.models.generate_content_stream(
+                model="gemini-flash-latest",
+                contents=[prompt] + image_parts,
+                config=types.GenerateContentConfig(
+                    safety_settings=safety_settings
+                )
+            ):
+                for part in chunk.candidates[0].content.parts:
+                    if part.text:
+                        yield part.text
 
         return Response(generate(), mimetype='text/plain')
 

templates/index.html

@@ -314,25 +314,30 @@
         });
       };
 
-      async function handleSubmit() {
-        if (uploadedFiles.length === 0) {
-          alert('Veuillez sélectionner au moins une image.');
-          return;
-        }
-
-        const analysisType = document.querySelector('input[name="analysis_type"]:checked')?.value;
-        if (!analysisType) {
-          alert('Veuillez sélectionner un type d\'analyse.');
-          return;
-        }
-
-        const formData = new FormData();
-        formData.append('analysis_type', analysisType);
-        uploadedFiles.forEach(file => formData.append('images', file));
-
-        submitBtn.disabled = true;
-        submitBtn.innerHTML = '<span class="animate-pulse">Analyse en cours...</span>';
-
+       async function handleSubmit() {
+        if (uploadedFiles.length === 0) {
+          alert('Veuillez sélectionner au moins une image.');
+          return;
+        }
+
+        const analysisType = document.querySelector('input[name="analysis_type"]:checked')?.value;
+        if (!analysisType) {
+          alert('Veuillez sélectionner un type d\'analyse.');
+          return;
+        }
+
+        const formData = new FormData();
+        formData.append('analysis_type', analysisType);
+        uploadedFiles.forEach(file => formData.append('images', file));
+
+        submitBtn.disabled = true;
+        submitBtn.innerHTML = '<span class="animate-pulse">Analyse en cours...</span>';
+
+        // Show results section immediately with loading message
+        analysisResult.innerHTML = '<p class="text-gray-500 italic">Génération de l\'analyse en cours...</p>';
+        resultsSection.classList.remove('hidden');
+        resultsSection.scrollIntoView({ behavior: 'smooth' });
+
         try {
           const response = await fetch('/analyze', {
             method: 'POST',
@@ -356,16 +361,13 @@
             let markdownContent = result.replace(/\n\n/g, '\n&nbsp;\n');
             analysisResult.innerHTML = marked.parse(markdownContent);
           }
-
-          resultsSection.classList.remove('hidden');
-          resultsSection.scrollIntoView({ behavior: 'smooth' });
         } catch (error) {
-          alert('Erreur lors de l\'analyse: ' + error.message);
+          analysisResult.innerHTML = '<p class="text-red-500">Erreur lors de l\'analyse: ' + error.message + '</p>';
         } finally {
           submitBtn.disabled = false;
           submitBtn.innerHTML = '🚀 Soumettre';
         }
-      }
+      }
 
       window.removeImage = removeImage;
     });