Revert "Add header html"

This reverts commit 0a69bef22e614b2855a40c48545ae16ce3119ee1.

app.py

@@ -88,9 +88,10 @@ def init_distributed(opt):
 def setup_model():
     """Initialize the model on CPU without CUDA initialization."""
     opt = load_opt_from_config_files(["configs/biomedparse_inference.yaml"])
+    opt['CUDA'] = opt.get('CUDA', True) and torch.cuda.is_available()  # Vérifier la disponibilité de CUDA
     opt = init_distributed(opt)
     pretrained_path = init_huggingface()
-    model = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_path).eval()
+    model = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_path)
     return model
 
 @torch.no_grad()
@@ -180,7 +181,7 @@ def process_image(image, prompts, model):
 def setup_gradio_interface(model):
     """Configure l'interface Gradio."""
     return gr.Interface(
-        theme=gr.Theme.from_hub("lone17/kotaemon"),
+        theme=gr.Theme.from_hub("JohnSmith9982/small_and_pretty"),
         fn=lambda img, txt: process_image(img, txt, model),
         inputs=[
             gr.Image(type="numpy", label="Image médicale"),

explanation.py

@@ -1,15 +0,0 @@
-import openai
-
-client = openai.Client()
-
-def explain(model, input_text, max_tokens=100):
-    response = client.Completion.create(
-        model=model,
-        prompt=input_text,
-        max_tokens=max_tokens,
-        temperature=0,
-        top_p=1,
-        frequency_penalty=0,
-        presence_penalty=0
-    )
-    return response.choices[0].text.strip()

requirements.txt

@@ -1,4 +1,5 @@
 pillow==9.4.0
+accelerate
 opencv-python==4.8.1.78
 pyyaml==6.0.1
 json_tricks==3.17.3
@@ -33,7 +34,6 @@ open-clip-torch==2.26.1
 nibabel==5.1.0
 git+https://github.com/facebookresearch/detectron2
 gradio
-openai
 #torch==2.3.1 #2.0.1 
 #torchvision==0.15.2 
 #torchaudio==2.0.2

translator.py

@@ -29,3 +29,10 @@ def translate_text(text, source_lang, target_lang):
         print(f"An error occurred: {e}")
         return text
 
+if __name__ == "__main__":
+    text_to_translate = "Dans cette image donne moi l'œdème"
+    source_language = "fr"
+    target_language = "en"
+    translation = translate_text(text_to_translate, source_language, target_language)
+    if translation:
+        print(translation)