full test2

app.py

@@ -1,26 +1,26 @@
 import gradio
-import pandas as pd
-from annoy import AnnoyIndex
-from deepface import DeepFace
-import gdown
-from similarity_finder.get_similar_images import get_similar_images
+#import pandas as pd
+#from annoy import AnnoyIndex
+#from deepface import DeepFace
+#import gdown
+#from similarity_finder.get_similar_images import get_similar_images
 
 
-def my_inference_function(image_path):
-  global df
-  r = get_similar_images(df, image_path, age, gender, race)
-  return "Hello " + image_path + "!"
+def my_inference_function(image_path, age, gender, race):
+  #global df
+  #r = get_similar_images(df, image_path, age, gender, race)
+  return "Hello " + image_path + age + gender + race  "!"
 
 gradio_interface = gradio.Interface(  
   fn = my_inference_function,
-  inputs = gradio.Image(type="filepath"),
+  inputs = [gradio.Image(type="filepath"), gr.Textbox(label="Age"), gr.Textbox(label="Gender"), gr.Textbox(label="Race")],
   outputs = "text"
 )
 
 print("downloading dataset")
-id = "1z6amrk21M-4N39OZLOsi4WWjAdBVSjh7"
-gdown.download(id=id, output="final_dataframe.parquet.gzip", quiet=False)
+#id = "1z6amrk21M-4N39OZLOsi4WWjAdBVSjh7"
+#gdown.download(id=id, output="final_dataframe.parquet.gzip", quiet=False)
 
 print("loading dataframe")
-df = pd.read_parquet("final_dataframe.parquet.gzip")
+#df = pd.read_parquet("final_dataframe.parquet.gzip")
 gradio_interface.launch(share=True)