app.py

"""
# Inference

import gradio as gr

app = gr.load(
    "google/gemma-2-2b-it",
    src = "models",
    inputs = [gr.Textbox(label = "Input")],
    outputs = [gr.Textbox(label = "Output")],
    title = "Google Gemma",
    description = "Inference",
    examples = [
        ["Hello, World."]
    ]
).launch()
"""
"""
# Pipeline

import gradio as gr
from transformers import pipeline

pipe = pipeline(model = "google/gemma-2-2b-it")

def fn(input):
    output = pipe(
        input,
        max_new_tokens = 2048
    )
    return output[0]["generated_text"]#[len(input):]

app = gr.Interface(
    fn = fn,
    inputs = [gr.Textbox(label = "Input")],
    outputs = [gr.Textbox(label = "Output")],
    title = "Google Gemma",
    description = "Pipeline",
    examples = [
        ["Hello, World."]
    ]
).launch()
"""

import gradio as gr
from huggingface_hub import InferenceClient
import os

hf_token = os.getenv("HF_TOKEN")

def chat(messages):
    client = InferenceClient(api_key=hf_token)
    stream = client.chat.completions.create(
        model="google/gemma-2-2b-it",
        messages=messages,
        #temperature=0.5,
        #max_tokens=2048,
        #top_p=0.7,
        stream=True
    )
    story = ""
    for chunk in stream:
        story += chunk.choices[0].delta.content
        return story

interface = gr.Interface(
    fn=chat,
    inputs="textbox",
    outputs="textbox",
    title="Storyteller with Gemma",
    description="Tell me a story starter and I'll continue it using Gemma!"
)

interface.launch()