Update app.py

app.py

@@ -44,7 +44,7 @@ projection.load_state_dict(torch.load('./model_chkpt/ft_projection.pth',map_loca
 
 def inference(img=None,img_audio=None,val_q=None):
 
-    max_generate_length = 50
+    max_generate_length = 150
     val_combined_embeds = []
 
     with torch.no_grad():
@@ -105,7 +105,7 @@ with gr.Blocks() as demo:
     gr.Markdown(
     """
     # multi-modalLLM
-    Build using Tiny Clip model and Microsoft's Phi-2 model fine tuned on Instruct 150k.
+    Multi-modal LLM built using Tiny Clip model and Microsoft's Phi-2 model fine tuned on Instruct 150k
     """
     )