| import os | |
| import openai | |
| import gradio as gr | |
| openai.api_key = os.environ['APIKEY'] | |
| def predict(message, history): | |
| history_openai_format = [] | |
| for human, assistant in history: | |
| history_openai_format.append({"role": "user", "content": human }) | |
| history_openai_format.append({"role": "assistant", "content":assistant}) | |
| history_openai_format.append({"role": "user", "content": message}) | |
| response = openai.ChatCompletion.create( | |
| model='gpt-3.5-turbo', | |
| messages= history_openai_format, | |
| temperature=1.0, | |
| stream=True | |
| ) | |
| partial_message = "" | |
| for chunk in response: | |
| if len(chunk['choices'][0]['delta']) != 0: | |
| partial_message = partial_message + chunk['choices'][0]['delta']['content'] | |
| yield partial_message | |
| gr.ChatInterface(predict, | |
| title="Hi! I'm a Chatbot!", | |
| description="Ask me anything the Information you want!", | |
| theme="soft", | |
| examples=["Who is Sreejith?", "What is Good Diet?", "What is Protein?"], | |
| cache_examples=True | |
| ).launch(share=True) |