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Update app.py
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app.py
CHANGED
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@@ -15,7 +15,23 @@ alpaca_prompt = """පහත දැක්වෙන්නේ යම් කාර
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### ප්රතිචාරය:
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{}"""
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global model, tokenizer
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if model is None:
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@@ -45,18 +61,8 @@ def infer_stream(message, history, enable_history=False, max_new_tokens=512):
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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#
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streamer =
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generation_kwargs = dict(
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**inputs,
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max_new_tokens=max_new_tokens,
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streamer=streamer,
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)
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# Start generation in a separate thread
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thread = Thread(target=model.generate, kwargs=generation_kwargs)
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thread.start()
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# Stream the output
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partial_text = ""
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@@ -75,11 +81,6 @@ def infer_stream(message, history, enable_history=False, max_new_tokens=512):
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thread.join()
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@spaces.GPU
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def infer(message, history, enable_history=False, max_new_tokens=512):
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# Return the generator for streaming
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return infer_stream(message, history, enable_history, max_new_tokens)
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# Custom CSS for styling
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custom_css = """
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#splash-screen {
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### ප්රතිචාරය:
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{}"""
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@spaces.GPU
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def generate_with_streaming(inputs, max_new_tokens):
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global model
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streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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generation_kwargs = dict(
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**inputs,
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max_new_tokens=max_new_tokens,
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streamer=streamer,
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)
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thread = Thread(target=model.generate, kwargs=generation_kwargs)
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thread.start()
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return streamer, thread
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def infer(message, history, enable_history=False, max_new_tokens=512):
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global model, tokenizer
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if model is None:
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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# Get streamer and thread from GPU function
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streamer, thread = generate_with_streaming(inputs, max_new_tokens)
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# Stream the output
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partial_text = ""
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thread.join()
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# Custom CSS for styling
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custom_css = """
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#splash-screen {
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