add more debug info

app.py

@@ -19,44 +19,45 @@ with zipfile.ZipFile(data_source, 'r') as zip_ref:
     zip_ref.extractall('.')
 print("unzip of dataset is done")
 
-print("Going to find captions.csv")
-find_txt_home = os.system("find /home/user/ -name captions.csv")
-find_txt_usr = os.system("find /usr/ -name captions.csv")
-print(find_txt_home)
-print(find_txt_usr)
-
 #=============================================
+
+cmd = "pwd"
+output1 = subprocess.check_output(cmd, shell=True).decode("utf-8")
+print("result of pwd command")
+print(output1) # result => /home/user/app
+
 import subprocess
 # shell command to run
 cmd = "ls -l"
 output1 = subprocess.check_output(cmd, shell=True).decode("utf-8")
+print("result of ls -l command")
 print(output1)
 
-cmd = "pwd"
-output1 = subprocess.check_output(cmd, shell=True).decode("utf-8")
-print(output1) # result => /home/user/app
 #=============================================
-print("Going to invoke make_train_valid_dfs")
-print("\n\n")
 
+print("Going to prepare captions.csv")
 df = pd.read_csv("captions.txt")
 df['id'] = [id_ for id_ in range(df.shape[0] // 5) for _ in range(5)]
 df.to_csv("captions.csv", index=False)
 df = pd.read_csv("captions.csv")
+print("Finished in preparing captions.csv")
+print("\n\n")
 
+print("Going to invoke make_train_valid_dfs")
 _, valid_df = make_train_valid_dfs()
+print("Going to invoke make_train_valid_dfs")
 model, image_embeddings = get_image_embeddings(valid_df, "best.pt")
 
 
-
 def greet(query_text):
+    print("Going to invoke inference_CLIP")
     return inference_CLIP(query_text)
     
-
 gallery = gr.Gallery(
            label="Generated images", show_label=True, elem_id="gallery", 
            columns=[3], rows=[3], object_fit="contain", height="auto")
 # btn = gr.Button("Generate images", scale=0)
 demo = gr.Interface(fn=greet, inputs="text", 
                     outputs=gallery)
+print("Going to invoke demo.launch")
 demo.launch("debug")