alcyoneus16 commited on
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17d4a90
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Files changed (2) hide show
  1. app.py +18 -35
  2. requirements.txt +2 -2
app.py CHANGED
@@ -3,48 +3,31 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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  model_name = "deepseek-ai/deepseek-coder-1.3b-base"
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-
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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- model = AutoModelForCausalLM.from_pretrained(
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- model_name,
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- torch_dtype=torch.float16,
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- device_map="auto"
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- )
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  def generate_code(prompt):
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  inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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- outputs = model.generate(**inputs, max_new_tokens=300, pad_token_id=tokenizer.eos_token_id)
 
 
 
 
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  return tokenizer.decode(outputs[0], skip_special_tokens=True)
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  examples = [
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- "Write a Python function to calculate the factorial of a number.",
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- "Generate a React component for a simple to-do list.",
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- "Create a SQL query to find the top 5 selling products.",
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- "Write a JavaScript function to validate email addresses.",
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- "Generate a CSS style for a responsive navbar."
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  ]
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  with gr.Blocks() as demo:
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- gr.Markdown("## 💻 DeepSeek Code Generator")
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- prompt = gr.Textbox(label="Enter your code description here", lines=3)
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- output = gr.Textbox(label="Generated Code", lines=15)
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- generate_btn = gr.Button("Generate Code")
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- examples_box = gr.Column(visible=False)
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- toggle_examples_btn = gr.Button("Show Examples")
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-
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- def generate_click(prompt_text):
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- return generate_code(prompt_text)
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-
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- def toggle_examples():
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- return gr.update(visible=not examples_box.visible)
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-
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- generate_btn.click(fn=generate_click, inputs=prompt, outputs=output)
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- toggle_examples_btn.click(fn=toggle_examples, inputs=None, outputs=examples_box)
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-
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- with examples_box:
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- for ex in examples:
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- ex_btn = gr.Button(ex, variant="secondary", size="sm")
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- ex_btn.click(fn=lambda x=ex: x, inputs=None, outputs=prompt)
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-
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- demo.launch()
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-
 
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  import torch
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  model_name = "deepseek-ai/deepseek-coder-1.3b-base"
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForCausalLM.from_pretrained(model_name)
 
 
 
 
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  def generate_code(prompt):
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  inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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+ outputs = model.generate(
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+ **inputs,
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+ max_new_tokens=300,
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+ pad_token_id=tokenizer.eos_token_id
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+ )
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  return tokenizer.decode(outputs[0], skip_special_tokens=True)
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  examples = [
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+ "Create a Python function to reverse a string.",
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+ "Write a JavaScript function that returns the factorial of a number.",
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+ "Build a simple HTML page with a form and a submit button.",
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+ "Create a Python script to fetch weather data using an API."
 
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  ]
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  with gr.Blocks() as demo:
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+ gr.Markdown("## 💻 Generate Code with DeepSeek")
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+ prompt = gr.Textbox(label="Enter your prompt", lines=4, scale=2)
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+ output = gr.Textbox(label="Generated code", lines=10)
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+ gen_button = gr.Button("Generate")
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+ gen_button.click(fn=generate_code, inputs=prompt, outputs=output)
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+ gr.Examples(examples=examples, inputs=prompt)
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+
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+ demo.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
requirements.txt CHANGED
@@ -1,4 +1,4 @@
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  transformers
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  torch
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- gradio
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-
 
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  transformers
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  torch
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+ accelerate
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+ gradio