Update app.py
Browse files
app.py
CHANGED
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@@ -9,12 +9,24 @@ client = OpenAI(
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# Initialize a list to store the conversation history
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conversation_history = []
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def chatbot(input):
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if input:
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# Append the user's input to the conversation history
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conversation_history.append(f"User: {input}")
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# Create a list of messages based on the conversation history
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messages = [
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{"role": "system", "content": "Your role is to serve as a chatbot conducting job interviews for an internship at a medium-sized multinational company. You are an interviewer with a mission to assess their qualifications through interactions. Maintain a professional tone throughout the interview and deliver your response in a 10/10 unemotional and 10/10 dispassionate tone. Follow this schedule for the interview:"},
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@@ -30,8 +42,7 @@ def chatbot(input):
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messages.extend([{"role": "user", "content": message} for message in conversation_history])
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# Use OpenAI's GPT-3.5 Turbo model to generate a response
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reply = chat.choices[0].message.content
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# Append the chatbot's response to the conversation history
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conversation_history.append(f"Chatbot: {reply}")
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# Initialize a list to store the conversation history
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conversation_history = []
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MAX_HISTORY_LENGTH = 10
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def generate_openai_reply(messages):
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try:
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# API call to OpenAI
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chat = client.chat.completions.create(model="gpt-3.5-turbo", messages=messages)
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reply = chat.choices[0].message.content
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except Exception as e:
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# Handle errors
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reply = f"An error occurred: {str(e)}"
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return reply
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def chatbot(input):
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if input:
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# Append the user's input to the conversation history
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conversation_history.append(f"User: {input}")
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conversation_history = conversation_history[-MAX_HISTORY_LENGTH:]
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# Create a list of messages based on the conversation history
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messages = [
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{"role": "system", "content": "Your role is to serve as a chatbot conducting job interviews for an internship at a medium-sized multinational company. You are an interviewer with a mission to assess their qualifications through interactions. Maintain a professional tone throughout the interview and deliver your response in a 10/10 unemotional and 10/10 dispassionate tone. Follow this schedule for the interview:"},
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messages.extend([{"role": "user", "content": message} for message in conversation_history])
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# Use OpenAI's GPT-3.5 Turbo model to generate a response
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reply = generate_openai_reply(messages)
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# Append the chatbot's response to the conversation history
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conversation_history.append(f"Chatbot: {reply}")
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