Spaces:
Sleeping
Sleeping
ok ill do it myself then
Browse files
app.py
CHANGED
@@ -5,14 +5,29 @@ import torch
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model_id = "thrishala/mental_health_chatbot"
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try:
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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)
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except Exception as e:
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print(f"Error loading model: {e}")
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exit()
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@@ -22,8 +37,6 @@ def respond(
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history,
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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# Construct the prompt with clear separation
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prompt = f"{system_message}\n"
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@@ -35,8 +48,7 @@ def respond(
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response = pipe(
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prompt,
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max_new_tokens=max_tokens,
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top_p=top_p,
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eos_token_id=tokenizer.eos_token_id, # Use EOS token to stop generation
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)[0]["generated_text"]
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@@ -55,14 +67,6 @@ demo = gr.ChatInterface(
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label="System message",
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),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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model_id = "thrishala/mental_health_chatbot"
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try:
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="cpu",
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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max_memory={"cpu": "15GB"},
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offload_folder="offload",
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)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.model_max_length = 512 # Set maximum length
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pipe = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer,
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torch_dtype=torch.float16,
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num_return_sequences=1,
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do_sample=False,
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truncation=True,
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max_new_tokens=128
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)
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except Exception as e:
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print(f"Error loading model: {e}")
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exit()
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history,
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system_message,
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max_tokens,
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):
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# Construct the prompt with clear separation
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prompt = f"{system_message}\n"
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response = pipe(
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prompt,
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max_new_tokens=max_tokens,
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do_sample=False,
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eos_token_id=tokenizer.eos_token_id, # Use EOS token to stop generation
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)[0]["generated_text"]
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label="System message",
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),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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],
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)
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