Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import os
-
+import subprocess
+subprocess.run(["pip", "install","gradio==2.8.0b10"])
 
 HF_TOKEN = os.getenv('HF_TOKEN')
 hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "Rick-bot-flags")
@@ -30,7 +31,7 @@ def predict(input, history=[]):
     bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
 
     # generate a response 
-    history = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id).tolist()
+    history = model.generate(bot_input_ids, max_length=80, pad_token_id=tokenizer.eos_token_id).tolist()
 
     # convert the tokens to text, and then split the responses into lines
     response = tokenizer.decode(history[0]).replace("<|endoftext|>", "\n")
@@ -38,9 +39,8 @@ def predict(input, history=[]):
     return response, history
 
 gr.Interface(fn= predict,
-             css=".footer {display:none !important}",
-             inputs=["text", "state"],
-             outputs=["text", "state"], 
+             inputs="textbox",
+             outputs="chat", 
              theme ="grass", 
              title = title, 
              flagging_callback=hf_writer,