Update app.py

A smarter simple chatbot

app.py

@@ -1,64 +1,46 @@
 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")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    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 = ""
-
-    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
-"""
+# Define a dictionary of 20 dental terminologies and their definitions
+dental_terms = {
+    "cavity": "A cavity is a hole in a tooth caused by decay.",
+    "gingivitis": "Gingivitis is the inflammation of the gums, often caused by plaque buildup.",
+    "implant": "A dental implant is a surgical component that interfaces with the jawbone to support a dental prosthesis.",
+    "orthodontics": "Orthodontics is a branch of dentistry that corrects teeth and jaw alignment issues.",
+    "plaque": "Plaque is a sticky, colorless film of bacteria that forms on teeth.",
+    "enamel": "Enamel is the hard, outer surface layer of your teeth that protects against decay.",
+    "braces": "Braces are orthodontic devices used to straighten teeth and correct bite issues.",
+    "root canal": "A root canal is a treatment to repair and save a badly damaged or infected tooth.",
+    "crown": "A crown is a dental cap placed over a tooth to restore its shape, size, and strength.",
+    "veneers": "Veneers are thin shells placed over the front of teeth to improve appearance.",
+    "halitosis": "Halitosis is chronic bad breath caused by bacteria or other factors.",
+    "periodontitis": "Periodontitis is a serious gum infection that damages gums and can destroy the jawbone.",
+    "denture": "Dentures are removable appliances that replace missing teeth and surrounding tissues.",
+    "bridge": "A dental bridge is a fixed prosthetic device that replaces missing teeth.",
+    "tartar": "Tartar is hardened plaque that forms on teeth and can only be removed by a dentist.",
+    "x-ray": "A dental x-ray is an imaging technique used to view the inside of teeth and surrounding tissues.",
+    "flossing": "Flossing is the process of cleaning between your teeth with dental floss.",
+    "sealant": "A sealant is a protective coating applied to teeth to prevent decay.",
+    "bitewing": "A bitewing is a type of dental x-ray that shows the upper and lower back teeth.",
+    "occlusion": "Occlusion refers to the alignment and contact between teeth when the jaws close."
+}
+
+def chatbot_response(message, history):
+    # Convert the message to lowercase for case-insensitive matching
+    message = message.lower()
+
+    # Check if the message matches a term in the dictionary
+    if message in dental_terms:
+        return dental_terms[message]
+    else:
+        return "I'm sorry, I am just a simple chatbot, and I don't understand that term. Please try another dental term."
+
+# Set up the Gradio interface
 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)",
-        ),
-    ],
+    chatbot_response,
+    type="messages",
+    title="Dental Terminology Chatbot",
+    description="Enter a dental term to get its definition. If the term is not recognized, the chatbot will let you know."
 )
 
-
 if __name__ == "__main__":
     demo.launch()