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Sleeping
| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| # Function to convert days to score | |
| def days_to_score(days): | |
| if days == 0: | |
| return 0 | |
| elif days == 1: | |
| return 1 | |
| elif 2 <= days <= 3: | |
| return 2 | |
| elif 4 <= days <= 7: | |
| return 3 | |
| else: | |
| return 0 # This case should not happen as the input sliders are restricted | |
| # Function to diagnose GERD based on input days | |
| def diagnose_gerd_responses(responses): | |
| scores = [days_to_score(d) for d in responses] | |
| total_score = sum(scores) | |
| if total_score <= 7: | |
| diagnosis = "Kemungkinan Anda tidak menderita GERD." | |
| elif 8 <= total_score <= 18: | |
| diagnosis = "Kemungkinan Anda menderita GERD. Konsultasikan dengan penyedia layanan kesehatan untuk evaluasi lebih lanjut." | |
| else: | |
| diagnosis = "Skor di luar jangkauan. Pastikan Anda memasukkan nilai dengan benar." | |
| return diagnosis | |
| def respond(message, history, system_message, max_tokens, temperature, top_p): | |
| messages = [{"role": "system", "content": system_message}] | |
| for val in history: | |
| if val[0]: | |
| messages.append({"role": "user", "content": val[0]}) | |
| if val[1]: | |
| messages.append({"role": "assistant", "content": val[1]}) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| user_responses = [] | |
| for message in client.chat_completion(messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p): | |
| token = message.choices[0].delta.content | |
| response += token | |
| yield response | |
| if "nyeri ulu hati" in message: | |
| user_responses.append(int(message)) | |
| response = "Berapa hari dalam 7 hari terakhir Anda mengalami nyeri ulu hati?" | |
| elif "regurgitasi" in message: | |
| user_responses.append(int(message)) | |
| response = "Berapa hari dalam 7 hari terakhir Anda mengalami regurgitasi?" | |
| elif "mual" in message: | |
| user_responses.append(int(message)) | |
| response = "Berapa hari dalam 7 hari terakhir Anda mengalami mual?" | |
| elif "sulit tidur" in message: | |
| user_responses.append(int(message)) | |
| response = "Berapa hari dalam 7 hari terakhir Anda mengalami kesulitan tidur karena nyeri ulu hati?" | |
| elif "minum obat" in message: | |
| user_responses.append(int(message)) | |
| response = "Berapa hari dalam 7 hari terakhir Anda minum obat tambahan untuk nyeri ulu hati?" | |
| if len(user_responses) == 6: | |
| diagnosis = diagnose_gerd_responses(user_responses) | |
| response = diagnosis | |
| yield response | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox(value="You are a friendly Chatbot.", label="System message"), | |
| gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), | |
| gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), | |
| gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), | |
| ], | |
| title="Nexus-Gerd-Bot", | |
| description="Chat dengan Nexus-Gerd-Bot untuk menilai kemungkinan GERD berdasarkan gejala yang Anda alami dalam 7 hari terakhir." | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() |