refine
Browse files
app.py
CHANGED
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@@ -1,14 +1,23 @@
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import gradio as gr
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import openai
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config = open("config").readlines()
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openai.api_key = config[0].strip()
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-
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'''
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gradio: [['
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openai: [{"role": "user", "content": "
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{"role": "
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'''
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def gradio_messages_to_openai_messages(g):
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result = []
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@@ -18,23 +27,20 @@ def gradio_messages_to_openai_messages(g):
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return result
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def respond(chat_history, message):
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print("----------------")
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print("chat_histroy:", chat_history)
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print("message:", message)
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messages = [
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{"role": "system", "content":
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*gradio_messages_to_openai_messages(chat_history),
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{"role": "user", "content": message}
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]
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print("messages:", messages)
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=messages
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)
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response = completion['choices'][0]['message']['content']
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result = chat_history + [[message, response]]
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print("result:", result)
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return result
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with gr.Blocks() as demo:
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@@ -57,4 +63,4 @@ with gr.Blocks() as demo:
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chatbot,
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)
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demo.launch(server_name=
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import gradio as gr
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import openai
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# The first line contains the OpenAI key, while the second line provides the OpenAI URL, which is useful when the OpenAI server is hidden behind a proxy server.
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# eg. first line "sk-xxxxxxxxxx", second line "http://PROXY-URL"
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config = open("config").readlines()
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openai.api_key = config[0].strip()
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if len(config) > 1 and len(config[1].strip()) > 0:
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openai.api_base = config[1].strip()
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# config
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system_message = "You are an assistant who gives brief and concise answers."
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server_name = "0.0.0.0"
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server_port = 8000
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DEBUG = False
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'''
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gradio: [['first question', 'No'], ['second question', 'Yes']]
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openai: [{"role": "user", "content": "first question"}, {"role": "assistant", "content": "No"}
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{"role": "user", "content": "second question"}, {"role": "assistant", "content": "Yes"}]
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'''
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def gradio_messages_to_openai_messages(g):
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result = []
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return result
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def respond(chat_history, message):
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messages = [
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{"role": "system", "content": system_message},
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*gradio_messages_to_openai_messages(chat_history),
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{"role": "user", "content": message}
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]
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=messages
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)
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if DEBUG:
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print("messages:", messages)
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print("completion:", completion)
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response = completion['choices'][0]['message']['content']
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result = chat_history + [[message, response]]
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return result
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with gr.Blocks() as demo:
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chatbot,
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)
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demo.launch(server_name=server_name, server_port=server_port)
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