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practiced for lesson 11 generative AI

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  1. app.py +19 -1
app.py CHANGED
@@ -1,12 +1,30 @@
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  import gradio as gr
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  import random
 
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  def random_message(message, history):
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  choices = ["yes.", "no.", "it is certain","without a doubt","outlook good","ask again later", "better not tell you now","very doubtful","don't count on it","my sources say no","outlook not so good","very doubtful","reply hazy, try again", "cannot predict now"]
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  chat_answer = random.choice(choices)
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  return chat_answer
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  print("Hello, World!")
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- chatbot = gr.ChatInterface(random_message, type = "messages", theme = 'gstaff/xkcd', editable = True, title = "8ball" )
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  chatbot.launch()
 
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  import gradio as gr
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  import random
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+ from huggingface_hub import InferenceClient
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+ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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+
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+ def respond(message, history):
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+
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+ messages = [{"role": "system", "content": "You are a friendly chatbot."}]
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+
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+ if history:
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+ messages.extend(history)
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+
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+ messages.append({"role":"user", "content": message})
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+
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+ response = client.chat_completion(messages, max_tokens=100)
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+
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+ print(response['choices'][0]['message']['content'].strip())
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+
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+ return response['choices'][0]['message']['content'].strip()
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+
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  def random_message(message, history):
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  choices = ["yes.", "no.", "it is certain","without a doubt","outlook good","ask again later", "better not tell you now","very doubtful","don't count on it","my sources say no","outlook not so good","very doubtful","reply hazy, try again", "cannot predict now"]
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  chat_answer = random.choice(choices)
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  return chat_answer
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  print("Hello, World!")
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+ chatbot = gr.ChatInterface(respond, type = "messages")
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  chatbot.launch()