now we don't need to use hf tokens

app.py

@@ -13,16 +13,12 @@ with gr.Blocks() as demo:
         text_input = gr.Textbox(label="Enter text or URL to text file")
         with gr.Column():
             with gr.Row():
-                picked_model = gr.Dropdown(["google/flan-t5-large", "google/flan-t5-base","google/flan-t5-small"], label="Models", interactive=True)
-                load_configs = gr.Button("Load configs")
-                load_configs.click(document_chatbot.load_token_and_model, inputs=picked_model)
-                
+                picked_model = gr.Dropdown(["google/flan-t5-large", "google/flan-t5-base","google/flan-t5-small"], label="Models", interactive=True)  
+            
             chatbot = gr.Chatbot()
-
             q_input = gr.Textbox(label="Please write your question")
             clear = gr.Button("Clear")
-            q_input.submit(document_chatbot.respond, [text_input, q_input, chatbot], [q_input, chatbot])
+            q_input.submit(document_chatbot.respond, [text_input, q_input, chatbot, picked_model], [q_input, chatbot])
             clear.click(lambda: None, None, chatbot, queue=False)
         
-        
 demo.launch(debug=True)

document_chatbot.py

@@ -25,14 +25,13 @@ class DocumentChatbot:
         self.init_mes = ["According to the document, ", "Based on the text, ", "I think, ", "According to the text, ", "Based on the document you provided, "]
         
     
-    def load_token_and_model(self, model_name):
+
+    
+    def respond(self, text_input, question, chat_history, model_name):
         self.llm = HuggingFaceHub(repo_id=model_name, model_kwargs={"temperature":0, "max_length":512})
         self.chain = load_qa_chain(self.llm, chain_type="stuff")
         self.embeddings = HuggingFaceEmbeddings()
         return "Model and Token successfully loaded"
-        
-
-    def respond(self, text_input, question, chat_history):
         if not question or question.isspace():
             return "Please enter a valid question.", chat_history
         if text_input.startswith("http"):