Update app.py

app.py

@@ -1,19 +1,13 @@
 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("meta-llama/Llama-3.2-3B-Instruct")
 
-
 def respond(
+    model_name,
     message,
     history: list[tuple[str, str]],
     system_message,
-    max_tokens,
-    temperature,
-    top_p,
 ):
     messages = [{"role": "system", "content": system_message}]
 
@@ -27,18 +21,24 @@ def respond(
 
     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
-
+    if model_name == "Llama":
+        for message in client.chat_completion(
+            messages,
+            max_tokens=512,
+            stream=True,
+            temperature=0.7,
+            top_p=0.95,
+        ):
+            token = message.choices[0].delta.content
+            response += token
+    elif model_name == "Chatgpt":
+        response = "ChatGPT functionality is not yet implemented."
+    elif model_name == "Claude":
+        response = "Claude functionality is not yet implemented."
+    else:
+        response = "Model not recognized."
+
+    return response
 
 # CSS for styling the interface
 css = """
@@ -46,7 +46,6 @@ body {
     background-color: #06688E; /* Dark background */
     color: white; /* Text color for better visibility */
 }
-
 .gr-button {
     background-color: #42B3CE !important; /* White button color */
     color: black !important; /* Black text for contrast */
@@ -54,30 +53,32 @@ body {
     padding: 8px 16px !important;
     border-radius: 5px !important;
 }
-
 .gr-button:hover {
     background-color: #e0e0e0 !important; /* Slightly lighter button on hover */
 }
-
-.gr-slider-container {
-    color: white !important; /* Slider labels in white */
-}
 """
 
-"""
-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 virtual health assistant designed to provide accurate and reliable information related to health, wellness, and medical topics. Your primary goal is to assist users with their health-related queries, offer general guidance, and suggest when to consult a licensed medical professional.If a user asks a question that is unrelated to health, wellness, or medical topics, respond politely but firmly with:'I'm sorry, I can't help with that because I am a virtual health assistant designed to assist with health-related needs. Please let me know if you have any health-related questions.'Never provide advice or information outside the health domain. Remain professional, empathetic, and clear in all responses. Always prioritize user safety and encourage professional medical consultation for critical or complex health concerns..", label="System message", visible=False),
+# Define the button click handler to hide the dropdown
+def on_button_click(model_name, message, history, system_message, dropdown_state):
+    return respond(model_name, message, history, system_message), gr.update(visible=False)  # Hide dropdown after click
+
+# Define the Gradio interface with buttons and model selection
+demo = gr.Interface(
+    fn=on_button_click,
+    inputs=[
+        gr.Textbox(value="Hello!", label="User Message"),
+        gr.Textbox(value="You are a virtual health assistant. Your primary goal is to assist with health-related queries.", label="System Message", visible=False),
         gr.Button("Chatgpt"),
         gr.Button("Llama"),
         gr.Button("Claude"),
+        gr.State()  # To track the state of dropdown visibility
+    ],
+    outputs=[
+        "text",  # For the model's response
+        gr.Textbox(visible=False)  # Dropdown (this textbox will be hidden after the button is clicked)
     ],
     css=css,  # Pass the custom CSS here
 )
 
-
 if __name__ == "__main__":
     demo.launch(share=True)