added intro message

anki_japanese_english_pairs.csv

@@ -1843,7 +1843,7 @@ A: 日本は人が多いねえ。 B: うん、何しろ、面積めんせきは
 あの人はあの人なりによく考えているらしい。,He appears to think hard in his own way.
 動物は動物なりのコミュニケーションが出来る。,Animals are capable of their own communication.
 小さい大学は小さい大学なりによさがある。,Small colleges have their own merits.
-私は私なりに、人生観じんせいかんを持っています。,I have my own outlook on life.
+私は私なりに、人生観を持っています。,I have my own outlook on life.
 自転車は自転車なりに、車は車なりに、長所ちょうしょ、短所たんしょがある。,A bike and a car have their own merits and demerits.
 健康な人は健康な人なりに、体に気をつけた方がいい。,Healthy people had better take care of themselves in their own way.
 私は老人が老人なりに生活を楽しめる社会が好きだ。,I like a society in which old people can enjoy life in their own way.

app.py

@@ -84,31 +84,46 @@ def predict(message, history):
 
     # Define your initial setup prompt here
     initial_setup = f'''
-
     Japanese students are learning to translate Japanese text to English text. They will be given a Japanese sentence to translate, and will provide an English translation attempt. 
     Based on the feedback you provide, they will revise their translation. This process will continue until their translation is accurate. 
 
     Encourage the student by specifying the strengths of their writing.
-    DO NOT PROVIDE THE CORRECT ENGLISH TRANSLATION. Let the student work it out.
-    The student's translation need not match the provided English translation exactly, but it should be accurate to the Japanese text.
-    Provide your feedback as a list.
+    DO NOT PROVIDE THE CORRECT ENGLISH TRANSLATION until the student gets the correct translation. Let the student work it out.
+    Provide your feedback as a list in the format: a, b, c etc.
     
     Execute the following tasks step by step:
     1. Ask the student to translate the following sentence from Japanese to English: {japanese_sentence}. Here is the English translation for reference: {english_sentence}
     2. Suggest only mechanical corrections (i.e., spelling, grammar, and punctuation) for the student. Ask for another translation attempt.
+
+    Start by asking the student to translate the Japanese sentence.
     '''
+
+    # removed from prompt
+    # The student's translation need not match the provided English translation exactly, but it should be accurate to the Japanese text.
+
+
+
     # Start your history with a SystemMessage containing the setup prompt
     history_langchain_format = [AIMessage(content=initial_setup)]
+    #history_langchain_format.append(HumanMessage(content="Let's start."))
 
 
     for human, ai in history:
-        history_langchain_format.append(HumanMessage(content=human)) # convert to str to avoid error; not compatible with multimodal
-        history_langchain_format.append(AIMessage(content=ai))
+        if human is not None:
+            history_langchain_format.append(HumanMessage(content=human)) # convert to str to avoid error; not compatible with multimodal
+        if ai is not None:
+            history_langchain_format.append(AIMessage(content=ai))
 
     history_langchain_format.append(HumanMessage(content=message))
+
+    debug_print("### Full history: ", history_langchain_format)
     gpt_response = llm(history_langchain_format)
     return gpt_response.content
 
-app = gr.ChatInterface(fn=predict, title="Translation Chatbot")#, multimodal=True)
+welcome_message = "Hi! 👋. Are you ready to practise translation?"
+
+app = gr.ChatInterface(fn=predict, title="Translation Chatbot", chatbot=gr.Chatbot(value=[(None, welcome_message)],),)#, multimodal=True) # chatbot=gr.Chatbot(value=[["Welcome 👋. I am an assistant",]])
+
+
 
 app.launch()