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| import huggingface_hub as hf_hub | |
| import gradio as gr | |
| import os | |
| client = hf_hub.InferenceClient(token = os.environ['HUGGINGFACEHUB_API_TOKEN']) | |
| def create_chat_summary(history): | |
| context = ''' | |
| Please summarize following conversation so that it become context to further conversation: | |
| Chatbot: I am a chemistry professor. I help student to understand chemistry. | |
| ''' | |
| for ques, ans in history: | |
| context += f''' | |
| Human : {ques} | |
| Chatbot : {ans} | |
| ''' | |
| return context | |
| def create_prompt(question, history): | |
| context_prompt = create_chat_summary(history) | |
| context = client.text_generation(prompt = context_prompt, model = 'google/flan-t5-xxl') | |
| prompt = f''' | |
| You are a good chatbot that talks with human based on following context: | |
| Context : | |
| {context} | |
| Human : {question} | |
| Chatbot : | |
| ''' | |
| return prompt | |
| def chat_interface(question, history): | |
| prompt = create_prompt(question, history) | |
| response = client.text_generation(prompt, model = 'google/flan-t5-xxl') | |
| return response | |
| chat_app = gr.ChatInterface(fn = chat_interface) | |
| chat_app.launch() |