update code

app.py

@@ -9,7 +9,7 @@ import torch
 from peft import LoraConfig
 from transformers import AutoProcessor, BitsAndBytesConfig, IdeficsForVisionText2Text
 
-# Baca konten HTML dari file index.html
+# read from index.html
 with open('index.html', encoding='utf-8') as file:
     html_content = file.read()
 
@@ -34,12 +34,12 @@ if USE_QLORA or USE_LORA:
             bnb_4bit_compute_dtype=torch.float16
         )
 
-    # Model yang akan digunakan
-    model = Idefics2ForConditionalGeneration.from_pretrained(
-        "jihadzakki/idefics2-8b-vqarad-delta",
-        torch_dtype=torch.float16,
-        quantization_config=bnb_config
-    )
+    # Model Idefics2
+    # model = Idefics2ForConditionalGeneration.from_pretrained(
+    #     "jihadzakki/idefics2-8b-vqarad-delta",
+    #     torch_dtype=torch.float16,
+    #     quantization_config=bnb_config
+    # )
 
 processor = AutoProcessor.from_pretrained(
     "HuggingFaceM4/idefics2-8b",
@@ -104,7 +104,7 @@ with gr.Blocks(
 
     with gr.Row():
         with gr.Column():
-            image_input = gr.Image(label="Upload image", type="pil")
+            image_input = gr.Image(label="Image", type="pil")
         with gr.Column():
             question_input = gr.Textbox(show_label=False, placeholder="Enter your question here...")
             with gr.Row():

index.html

@@ -120,7 +120,7 @@
                 <h3 class="overview-heading"><span class="vl">Model Architecture</span></h3>
                 <div>
                     <p class="overview-content">The model is trained using Idefics2-8b.</p>
-                    <img class="content-image" src="img/idefics2_architecture.png" alt="model-architecture" />
+                    <img class="content-image" src="https://raw.githubusercontent.com/Kalbe-x-Bangkit/C24-RM-Kalbe-Bangkit/main/img/idefics2_architecture.png" alt="model-architecture" />
                 </div>
             </div>
         </section>