Create app.py

app.py

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+# app.py
+# =============
+# This is a complete app.py file for a text generation app using the Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF model.
+# The app is built using Gradio and runs on a CPU without video memory.
+
+# Imports
+# =======
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Constants
+# =========
+MODEL_NAME = "Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF"
+DEVICE = "cpu"  # Ensure the model runs on CPU
+
+# Load Model and Tokenizer
+# ========================
+def load_model_and_tokenizer():
+    """
+    Load the model and tokenizer from Hugging Face.
+    """
+    tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+    model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.bfloat16, device_map=DEVICE)
+    return tokenizer, model
+
+tokenizer, model = load_model_and_tokenizer()
+
+# Generate Text
+# =============
+def generate_text(prompt, max_length=100):
+    """
+    Generate text based on the given prompt.
+    
+    Args:
+        prompt (str): The input prompt for text generation.
+        max_length (int): The maximum length of the generated text.
+    
+    Returns:
+        str: The generated text.
+    """
+    inputs = tokenizer(prompt, return_tensors="pt").to(DEVICE)
+    outputs = model.generate(inputs.input_ids, max_length=max_length, num_return_sequences=1)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+# Gradio Interface
+# =================
+def gradio_interface():
+    """
+    Create and launch the Gradio interface.
+    """
+    iface = gr.Interface(
+        fn=generate_text,
+        inputs=[
+            gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+            gr.inputs.Slider(minimum=50, maximum=500, step=10, default=100, label="Max Length")
+        ],
+        outputs="text",
+        title="Qwen2.5-Coder-0.5B-Instruct-GGUF Text Generation",
+        description="Generate text using the Qwen2.5-Coder-0.5B-Instruct-GGUF model."
+    )
+    iface.launch()
+
+# Main
+# ====
+if __name__ == "__main__":
+    gradio_interface()
+
+# Dependencies
+# =============
+# The following dependencies are required to run this app:
+# - transformers
+# - gradio
+# - torch
+#
+# You can install these dependencies using pip:
+# pip install transformers gradio torch