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Update app.py
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app.py
CHANGED
@@ -1,3 +1,4 @@
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import subprocess
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subprocess.check_call(["pip", "install", "-q", "openai"])
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subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"])
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@@ -34,4 +35,31 @@ examples = [
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inputs = [gr.inputs.Textbox(label="Talk to ChatSherman: "), "state"]
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outputs = ["chatbot", "state"]
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interface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description, examples=examples)
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interface.launch(debug=True)
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'''
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import subprocess
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subprocess.check_call(["pip", "install", "-q", "openai"])
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subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "python-dotenv"])
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inputs = [gr.inputs.Textbox(label="Talk to ChatSherman: "), "state"]
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outputs = ["chatbot", "state"]
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interface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description, examples=examples)
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interface.launch(debug=True)
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'''
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import openai
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import gradio as gr
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openai.api_key = "OPENAI_API_KEY"
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def predict(message, history):
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history_openai_format = []
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for human, assistant in history:
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history_openai_format.append({"role": "user", "content": human })
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history_openai_format.append({"role": "assistant", "content":assistant})
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history_openai_format.append({"role": "user", "content": message})
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response = openai.ChatCompletion.create(
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model='gpt-3.5-turbo',
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messages= history_openai_format,
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temperature=1.0,
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stream=True
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)
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partial_message = ""
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for chunk in response:
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if len(chunk['choices'][0]['delta']) != 0:
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partial_message = partial_message + chunk['choices'][0]['delta']['content']
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yield partial_message
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gr.ChatInterface(predict).queue().launch()
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