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Update app.py

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  1. app.py +7 -7
app.py CHANGED
@@ -1,7 +1,7 @@
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  """
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- Qwen3 Text Generation App for Hugging Face Spaces
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- This app allows you to generate text using a trained Qwen3 model.
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  You can control:
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  - The starting text (prompt)
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  - How many new words to generate (max_new_tokens)
@@ -175,14 +175,14 @@ def generate_text_interface(prompt, max_new_tokens, temperature):
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  # Create the Gradio interface
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  # This defines what the web app looks like and how it behaves
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- with gr.Blocks(title="Qwen3 Text Generator", theme=gr.themes.Soft()) as demo:
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  # Header
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  gr.Markdown(
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  """
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- # 🤖 Qwen3 Text Generator
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- Generate creative stories and text using a Qwen3 model trained on TinyStories!
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  ### How to use:
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  1. **Enter your starting text** (e.g., "Once upon a time")
@@ -263,7 +263,7 @@ with gr.Blocks(title="Qwen3 Text Generator", theme=gr.themes.Soft()) as demo:
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  ---
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  ### 📊 About This Model
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- - **Model**: Qwen3 0.6B (596M parameters)
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  - **Training Data**: TinyStories dataset (children's stories)
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  - **Architecture**: 28 transformer layers with Grouped Query Attention
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  - **Model Source**: [vuminhtue/qwen3_sentiment_tinystories](https://huggingface.co/vuminhtue/qwen3_sentiment_tinystories)
@@ -288,7 +288,7 @@ with gr.Blocks(title="Qwen3 Text Generator", theme=gr.themes.Soft()) as demo:
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  - Children's vocabulary and themes
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  ---
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- *Built with Qwen3 architecture • Trained on TinyStories • Powered by PyTorch • Model hosted on 🤗 HuggingFace*
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  """
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  )
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  """
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+ Qwen3:0.6B Text Generation App for Hugging Face Spaces
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+ This app allows you to generate text using a trained Qwen3:0.6B model with TinyStories dataset .
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  You can control:
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  - The starting text (prompt)
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  - How many new words to generate (max_new_tokens)
 
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  # Create the Gradio interface
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  # This defines what the web app looks like and how it behaves
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+ with gr.Blocks(title="Qwen3:0.6B Text Generator", theme=gr.themes.Soft()) as demo:
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  # Header
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  gr.Markdown(
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  """
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+ # 🤖 Qwen3:0.6B Text Generator
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+ Generate creative stories and text using a Qwen3:0.6B model trained on TinyStories!
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  ### How to use:
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  1. **Enter your starting text** (e.g., "Once upon a time")
 
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  ---
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  ### 📊 About This Model
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+ - **Model**: Qwen3:0.6B (596M parameters)
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  - **Training Data**: TinyStories dataset (children's stories)
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  - **Architecture**: 28 transformer layers with Grouped Query Attention
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  - **Model Source**: [vuminhtue/qwen3_sentiment_tinystories](https://huggingface.co/vuminhtue/qwen3_sentiment_tinystories)
 
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  - Children's vocabulary and themes
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  ---
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+ *Built with Qwen3:0.6B architecture • Trained on TinyStories • Powered by PyTorch • Model hosted on 🤗 HuggingFace*
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  """
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  )
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