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95973c2 742dfc9 95973c2 742dfc9 ae75b83 742dfc9 ae75b83 742dfc9 ae75b83 742dfc9 ae75b83 742dfc9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | import gradio as gr
from huggingface_hub import InferenceClient
# Initialize Mistral client
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
# Prompt formatting for Mistral
def format_prompt(message, history):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST] {bot_response}</s> "
prompt += f"[INST] {message} [/INST]"
return prompt
# Generation function with streaming
def generate(prompt, history, temperature, max_new_tokens, top_p, repetition_penalty):
formatted_prompt = format_prompt(prompt, history)
stream = client.text_generation(
formatted_prompt,
temperature=float(temperature),
max_new_tokens=int(max_new_tokens),
top_p=float(top_p),
repetition_penalty=float(repetition_penalty),
do_sample=True,
seed=42,
stream=True,
return_full_text=False,
)
output = ""
for response in stream:
output += response.token.text
yield output
# Build unified mobile-friendly interface
with gr.Blocks(theme="soft") as demo:
gr.Markdown("### 📱 Multi‑Model Playground (Mobile Optimized)")
# Tab 1: Mistral Chat
with gr.Tab("Mistral Chat"):
gr.ChatInterface(
fn=generate,
chatbot=gr.Chatbot(layout="bubble", show_label=False),
additional_inputs=[
gr.Dropdown([0.7, 0.9, 1.0], value=0.9, label="Temperature"),
gr.Dropdown([128, 256, 512], value=256, label="Max new tokens"),
gr.Dropdown([0.8, 0.9, 1.0], value=0.9, label="Top‑p"),
gr.Dropdown([1.0, 1.2, 1.5], value=1.2, label="Repetition penalty"),
],
)
# Tab 2: DALL·E 3 XL
with gr.Tab("DALL·E 3 XL"):
gr.load("models/ehristoforu/dalle-3-xl-v2", src="spaces")
# Tab 3: Phi‑3 Mini
with gr.Tab("Phi‑3 Mini"):
gr.load("models/microsoft/Phi-3-mini-4k-instruct", src="spaces")
# Launch with share=True for mobile browser access
demo.launch(share=True) |