Update app.py

app.py

@@ -1,20 +1,34 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
 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
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+# 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:
@@ -26,38 +40,46 @@ def respond(
     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,
-    ):
+    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
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+    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)",
-        ),
+        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()