Update Visualisation/app.py

Visualisation/app.py

@@ -11,8 +11,6 @@ table_analyzer = pipeline("table-question-answering", model="google/tapas-base")
 
 user_input_processor = pipeline("text-generation", model="tiiuae/falcon-7b-instruct",torch_dtype=torch.float16)
 
-image_captioner = pipeline("image-to-text", model="Salesforce/blip2-opt-2.7b",torch_dtype=torch.float16  )
-
 # ✅ Load T5 Model (ensure correct architecture)
 model_name = "google/t5-small"  # Change to the correct T5 model if needed
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -76,8 +74,6 @@ async def visualize(
     img_stream.seek(0)
     plt.close()
 
-    # Generate image caption
-    image_description = image_captioner(img_stream)
-    print("🖼️ Description du graphique:", image_description)
+
 
     return StreamingResponse(img_stream, media_type="image/png")