Add app.py and requirements.txt for Qwen model

app.py

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+from transformers import AutoTokenizer, AutoModelForCausalLM
+import gradio as gr
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("AiCloser/Qwen2.5-32B-AGI")
+model = AutoModelForCausalLM.from_pretrained(
+    "AiCloser/Qwen2.5-32B-AGI",
+    device_map="auto",
+    torch_dtype="auto",
+    resume_download=True  # Allow resumable downloads
+)
+
+# Define text generation function
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_length=200)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Qwen 2.5-32B Text Generator",
+    description="Generate text using the Qwen2.5-32B-AGI model. Enter a prompt below."
+)
+
+# Launch interface
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+transformers
+gradio
+accelerate
+torch