Update app.py

app.py

@@ -78,7 +78,7 @@ def load_model(model_selection):
 # Choose LLM to use
 # weights for OPT-6.7B/OPT-13B/OPT-30B/OPT-66B will download automatically
 print("Loading Large Language Model (LLM)...")
-llm_model, tokenizer = load_model('facebook/opt-350m')  # ~13G (FP16)
+llm_model, tokenizer = load_model('facebook/opt-1.3b')  # ~13G (FP16)
 llm_model.to(device)
 model, vis_processors, txt_processors = load_model_and_preprocess(name="img2prompt_vqa", model_type="base", is_eval=True, device=device)
 
@@ -102,9 +102,8 @@ with demo:
                   <div align="center">
                   <h3>  What you can do with this space </h3>
                   <h4> 1. Upload your image and fill your question </h4>
-                  <h4> 2. Generating gradcam attention from model </h4>
-                  <h4> 3. Creating caption from your image </h4>
-                  <h4> 4. Answering your question based on uploaded image </h4>
+                  <h4> 2. Creating caption from your image </h4>
+                  <h4> 3. Answering your question based on uploaded image </h4>
                   </div>
                   ''')  
     examples = gr.Examples(examples=