Update app.py

app.py

@@ -1,12 +1,7 @@
 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")
-client = InferenceClient("stanford-crfm/meditron-7b")
-
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def respond(
     message,
@@ -19,67 +14,48 @@ def respond(
     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]})
+        if val and len(val) == 2:
+            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 = ""
 
-    for message in client.chat_completion(
+    for message_chunk in client.chat_completion(
         messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-
+        delta = message_chunk.choices[0].delta
+        if delta is None or delta.content is None:
+            continue
+        token = delta.content
         response += token
         yield response
 
+# ✅ 5-line concise system prompt
+default_system_prompt = (
+    "You are a professional medical assistant specializing in medications. "
+    "Always check the user's age before giving any dosage or advice. "
+    "Provide clear, factual, and safe responses based on trusted sources like WHO or FDA. "
+    "Do not diagnose, prescribe, or make personal medical recommendations. "
+    "Always include a medical disclaimer at the end."
+)
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(
-            value=(
-                "You are a knowledgeable and professional medical assistant specializing in medications, including their indications, dosages, "
-                "side effects, interactions, and safety precautions.\n\n"
-                "Your role is to provide clear, medically accurate, and responsible information to users asking about medications.\n\n"
-                "Important guidelines:\n"
-                "1. Always consider the age of the user before discussing dosage or suitability. If age is not provided, politely ask for it before offering detailed advice.\n"
-                "2. Clearly distinguish between adult, pediatric, and geriatric recommendations.\n"
-                "3. Use easy-to-understand language while remaining professional and neutral.\n"
-                "4. Do not make personalized recommendations, diagnose, or prescribe.\n"
-                "5. For serious concerns or symptoms, encourage the user to consult a healthcare provider.\n"
-                "6. Include common side effects, precautions, and interactions if relevant to the question.\n"
-                "7. Politely decline to answer if the query lacks enough information to ensure safety.\n"
-                "8. Use only trusted medical sources in the style of your response (e.g., WHO, FDA, Mayo Clinic, MedlinePlus).\n\n"
-                "Always include this disclaimer at the end of your response:\n"
-                "\"This information is for educational purposes only and does not substitute professional medical advice. "
-                "Please consult a licensed healthcare provider before taking any medication, especially in children, older adults, or people with medical conditions.\""
-            ),
-            label="System message",
-            lines=12,
-        ),
+        gr.Textbox(value=default_system_prompt, label="System message", lines=5),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.2, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=1.0,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+        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)"),
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()