import spacy import openai import gradio as gr # Loading the pre-trained English language model in spaCy try: nlp = spacy.load('en_core_web_sm') except OSError: spacy.cli.download('en_core_web_sm') nlp = spacy.load('en_core_web_sm') # Function to obtain word embeddings def get_word_embeddings(sentence): tokens = nlp(sentence) embeddings = [token.vector for token in tokens] return embeddings # Function to get the chatbot response def get_response(message): openai.api_key = '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' # Obtain word embeddings for the user message embeddings = get_word_embeddings(message) # Convert the embeddings to a string representation embeddings_str = [str(embedding) for embedding in embeddings] response = openai.ChatCompletion.create( model='gpt-3.5-turbo-16k', messages=[ {"role":"system", "content":"You are a polite, helpful postpartum care assistant who answers anything related to POSTPARTUM CARE, for other questions politely say you cannot answer, if you have any concern related then I can help."}, # {"role":"user","content": message}, # {"role":"assistant","content":""}, {"role": "user", "content": message + " "+ " ".join(embeddings_str) } ], max_tokens=100, temperature=0.9, ) return response["choices"][0]["message"]["content"] def chatbot_interface(input_text): response = get_response(input_text) return response # code to create the Gradio app interface iface = gr.Interface( fn=chatbot_interface, inputs="text", outputs="text", layout="vertical", title="Postpartum Care Chatbot", description="Ask any postpartum care-related questions!", theme='HaleyCH/HaleyCH_Theme', # inputs_layout="textarea", # outputs_layout="textarea", examples=[ ["Hi, how can I take care of my newborn's skin?"], ["What is postpartum depression? What are the signs and symptoms?"], ["What activities are safe to do in the first few days? Which activities should I avoid?"], ['Are there certain foods or beverages I should avoid when breastfeeding?'], ["What should I do to prevent deep vein thrombosis?"], ['What should I do to help prevent post-delivery infections??'] ], ) # Start the Gradio app if __name__ == "__main__": print("Welcome to the Postpartum Care Chatbot!") print("How can I assist you today??") iface.launch()