Update app.py

app.py

@@ -15,7 +15,8 @@ def play_audio(audio):
     
 
 # From transformers import BertModel, BertTokenizer
-from transformers import HfAgent, load_tool
+from transformers import load_tool
+#from transformers import HfAgent, load_tool
 
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, Agent, LocalAgent
@@ -32,9 +33,25 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, Agent, LocalAgent
 # Load tools
 random_character_tool = load_tool("Chris4K/random-character-tool")
 text_generation_tool = load_tool("Chris4K/text-generation-tool")
+sentiment_tool = load_tool("Chris4K/sentiment-tool")
+token_counter_tool = load_tool("Chris4K/token-counter-tool")
+most_downloaded_model = load_tool("Chris4K/most-downloaded-model")
+rag_tool = load_tool("Chris4K/rag-tool")
+word_counter_tool = load_tool("Chris4K/word-counter-tool")
+sentence_counter_tool = load_tool("Chris4K/sentence-counter-tool") 
+emojify_text_tool = load_tool("Chris4K/Chris4K/EmojifyTextTool") 
+namedEntityRecognitionTool = load_tool("Chris4K/NamedEntityRecognitionTool") 
+textDownloadTool = load_tool("Chris4K/TextDownloadTool") 
+sourcecode_retriever_tool = load_tool("Chris4K/source-code-retriever-tool") 
+
+text_to_image = load_tool("Chris4K/text-to-image") 
+text_to_video = load_tool("Chris4K/text-to-video") 
+image_transformation = load_tool("Chris4K/image-transformation") 
+latent_upscaler_tool = load_tool("Chris4K/latent-upscaler-tool")  
+
+tools = [random_character_tool, text_generation_tool, sentiment_tool, token_counter_tool, most_downloaded_model, word_counter_tool, sentence_counter_tool, emojify_text_tool , namedEntityRecognitionTool, sourcecode_retriever_tool, text_to_image, text_to_video, image_transformation, latent_upscaler_tool ]
 
 
-tools = [random_character_tool, text_generation_tool]
 
 # Define the custom HfAgent class
 class CustomHfAgent(Agent):