fix repo_id

app.py

@@ -18,7 +18,7 @@ MODEL_DIR=os.path.join(os.path.dirname(eai_filepath),'model_ckpts')
 if not os.path.isdir(MODEL_DIR):
     os.mkdir(MODEL_DIR)
 
-REPO_ID = "facebook/vc1-base"
+
 FILENAME = "config.yaml"
 BASE_MODEL_TUPLE = None
 LARGE_MODEL_TUPLE = None
@@ -61,10 +61,10 @@ def download_bin(model):
         bin_file = 'vc1_vitb.pth'
     else:
         raise NameError("model not found: " + model)
-    
+    repo_name = 'facebook/' + model 
     bin_path = os.path.join(MODEL_DIR,bin_file)
     if not os.path.isfile(bin_path):
-        model_bin = hf_hub_download(repo_id=REPO_ID, filename='pytorch_model.bin',local_dir=MODEL_DIR,local_dir_use_symlinks=True,token=HF_TOKEN)
+        model_bin = hf_hub_download(repo_id=repo_name, filename='pytorch_model.bin',local_dir=MODEL_DIR,local_dir_use_symlinks=True,token=HF_TOKEN)
         os.rename(model_bin, bin_path)
 
 
@@ -101,10 +101,12 @@ input_button = gr.Radio(["min", "max", "mean"], value="min",label="Attention Hea
 output_img = gr.Image(shape=(250,250))
 output_plot = gr.Plot()
 
+css = ".output-image, .input-image, .image-preview {height: 600px !important}"
+
 markdown ="This is a demo for the Visual Cortex models. When passed an image input, it displays the attention of the last layer of the transformer.\n \
          The user can decide how the attention heads will be combined. \
          Along with the attention heatmap, it also displays the embedding values reshaped to a 16x48 or 16x64 grid."
 demo = gr.Interface(fn=run_attn, title="Visual Cortex Base Model", description=markdown,
                     examples=[[os.path.join('./imgs',x),None,None]for x in os.listdir(os.path.join(os.getcwd(),'imgs')) if 'jpg' in x],
-                    inputs=[input_img,model_type,input_button],outputs=[output_img,output_plot])
-demo.launch()
+                    inputs=[input_img,model_type,input_button],outputs=[output_img,output_plot],css=css)
+demo.launch(share=True)