Update app.py

app.py

@@ -1,11 +1,16 @@
 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("microsoft/Phi-3.5-mini-instruct")
 
+# Predefined prompts
+prompts = [
+    "Tell me a joke about programming",
+    "Write a short story about a time-traveling robot",
+    "Explain quantum computing to a 5-year-old",
+    "Create a recipe for the most unusual pizza",
+    "Describe an alien civilization's first contact with Earth"
+]
 
 def respond(
     message,
@@ -27,37 +32,37 @@ def respond(
 
     response = ""
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
+    for message in client.text_generation(
+        prompt="\n".join([m["content"] for m in messages]),
+        max_new_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
+        token = message.token.text
 
         response += token
         yield response
 
-"""
-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 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)",
-        ),
-    ],
-)
+def update_textbox(prompt):
+    return gr.Textbox.update(value=prompt)
 
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.ClearButton([msg, chatbot])
+
+    with gr.Accordion("Advanced options", open=False):
+        system = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
+        max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+
+    prompt_dropdown = gr.Dropdown(choices=prompts, label="Select a premade prompt")
+    prompt_dropdown.change(update_textbox, inputs=[prompt_dropdown], outputs=[msg])
+
+    msg.submit(respond, [msg, chatbot, system, max_tokens, temperature, top_p], chatbot)
+    clear.click(lambda: None, None, chatbot, queue=False)
 
 if __name__ == "__main__":
     demo.launch()