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Update app.py
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app.py
CHANGED
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@@ -3,7 +3,7 @@ import gradio as gr
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import torch
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import os
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# =====
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def get_best_device():
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if torch.cuda.is_available():
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torch.backends.cudnn.benchmark = True
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@@ -11,47 +11,53 @@ def get_best_device():
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return -1, torch.float32 # CPU fallback
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device, dtype = get_best_device()
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device_name = torch.cuda.get_device_name(0) if device == 0 else "CPU"
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print(f"⚡ Running on: {device_name}")
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# =====
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try:
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model = pipeline(
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model="google/gemma-2b-it",
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device=device,
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torch_dtype=dtype,
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model_kwargs={
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"low_cpu_mem_usage": True,
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"trust_remote_code": True #
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}
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)
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# Pre-warm model
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model("Warmup", max_new_tokens=1)
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except Exception as e:
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# =====
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def generate(prompt):
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try:
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return model(
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prompt,
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max_new_tokens=60,
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temperature=0.2,
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do_sample=False,
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pad_token_id=model.tokenizer.eos_token_id
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)[0]['generated_text']
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except Exception as e:
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return f"⚠️ Error
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# =====
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with gr.Blocks(
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gr.Markdown("## Ask anything
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out = gr.Textbox(label="Instant Answer", interactive=False)
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inp.submit(generate, inp, out)
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demo.launch(server_name="0.0.0.0")
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import torch
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import os
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# ===== SMART DEVICE CONFIGURATION =====
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def get_best_device():
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if torch.cuda.is_available():
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torch.backends.cudnn.benchmark = True
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return -1, torch.float32 # CPU fallback
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device, dtype = get_best_device()
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device_name = "GPU: " + torch.cuda.get_device_name(0) if device == 0 else "CPU"
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print(f"⚡ Running on: {device_name}")
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# ===== ERROR-PROOF MODEL LOADING =====
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try:
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# Correct pipeline configuration (fixed trust_remote_code)
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model = pipeline(
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"text-generation",
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model="google/gemma-2b-it",
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device=device,
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torch_dtype=dtype,
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model_kwargs={
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"low_cpu_mem_usage": True,
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"trust_remote_code": True # Correct placement
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}
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)
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# Pre-warm model
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model("Warmup", max_new_tokens=1)
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except Exception as e:
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# Simplified fallback (removes duplicate trust_remote_code)
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model = pipeline(
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"text-generation",
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model="google/gemma-2b-it",
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device=device,
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torch_dtype=dtype
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)
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# ===== OPTIMIZED GENERATION =====
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def generate(prompt):
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try:
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return model(
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prompt,
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max_new_tokens=60,
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temperature=0.2,
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do_sample=False,
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pad_token_id=model.tokenizer.eos_token_id
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)[0]['generated_text']
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except Exception as e:
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return f"⚠️ Error: {str(e)}"
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# ===== SIMPLE INTERFACE =====
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with gr.Blocks() as demo:
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gr.Markdown("## Ask anything (1-2 second responses)")
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input = gr.Textbox(label="Your question")
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output = gr.Textbox(label="Answer")
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input.submit(generate, input, output)
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demo.launch(server_name="0.0.0.0")
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