Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM, AutoModelForSeq2Se
 BERTTokenizer = AutoTokenizer.from_pretrained("cl-tohoku/bert-base-japanese")
 BERTModel = AutoModelForMaskedLM.from_pretrained("cl-tohoku/bert-base-japanese")
 
-mT5Tokenizer = AutoTokenizer.from_pretrained("google/mt5-base")
-mT5Model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base")
+mBERTTokenizer = AutoTokenizer.from_pretrained("bert-base-multilingual-cased")
+mBERTModel = AutoModelForMaskedLM.from_pretrained("bert-base-multilingual-cased")
 
 GPT2Tokenizer = AutoTokenizer.from_pretrained("rinna/japanese-gpt2-medium")
 GPT2Model = AutoModelForCausalLM.from_pretrained("rinna/japanese-gpt2-medium")
@@ -37,23 +37,23 @@ def BALTHASAR(sue):#mT5
     votes.append(1 if probs[-1][allow]>probs[-1][deny] else -1)
     return "承認"  if probs[-1][allow]>probs[-1][deny] else "否定"
 
-def CASPER(sue):#GPT2
-    allow=GPT2Tokenizer("承認").input_ids[1]
-    deny=GPT2Tokenizer("否定").input_ids[1]
-    inpt=GPT2Tokenizer('CASPERは女としての人格を持っています。人間とCASPERの対話です。人間「'+sue+'。承認 か 否定 のどちらかで答えてください。」'+"CASPER 「",return_tensors="pt")
-    probs=GPT2Model(input_ids=inpt.input_ids[:,:-1],attention_mask=inpt.attention_mask[:,:-1]).logits[0]
-    i=-1
-    p_answer=probs
-    id=torch.argmax(probs[i])
-    votes.append(1 if probs[i][allow]>probs[i][deny] else -1)
-    return "承認" if probs[i][allow]>probs[i][deny] else "否定"
+def BALTHASAR(sue):#mBERT
+    allow=mBERTTokenizer("Yes").input_ids[1]
+    deny=mBERTTokenizer("No").input_ids[1]
+    output=mBERTModel(**mBERTTokenizer('MELCHIORは科学者としての人格を持っています。人間とMELCHIORの対話です。人間「'+sue+'。賛成か反対か。」'+"MELCHIOR 「[MASK]」",return_tensors="pt")).logits
+    mask=output[0,-3,:]
+    print(mBERTTokenizer.decode(torch.argmax(output[0,-3,:])))
+    votes.append(1 if mask[allow]>mask[deny] else -1)
+    return "承認"  if mask[allow]>mask[deny] else "否定"
+
 
 def greet(sue):
     text1="BERT-1"+MELCHIOR(sue)
     text2="GPT-2"+CASPER(sue)
-    text3="mT5-3"+BALTHASAR(sue)
+    text3="mBERT-3"+BALTHASAR(sue)
     return text1+" "+text2+" "+text3+"\n＿＿＿\n\n"+("|可決|" if sum(votes[-3:])>0 else "| 否決 |")+"\n＿＿＿"
 
+
 css="@import url('https://fonts.googleapis.com/css2?family=Shippori+Mincho:wght@800&display=swap');  .gradio-container {background-color: black} .gr-button {background-color: blue;color:black; weight:200%;font-family:'Shippori Mincho', serif;}"
 css+=".block{color:orange;} ::placeholder {font-size:35%} .gr-box {text-align: center;font-size: 125%;border-color:orange;background-color: #000000;weight:200%;font-family:'Shippori Mincho', serif;}:disabled {color: orange;opacity:1.0;}"
 with gr.Blocks(css=css) as demo: