Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+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,
+    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.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.token.text
+
+        response += token
+        yield response
+
+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()