Create app.py

app.py

@@ -0,0 +1,74 @@
+import gradio as gr
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import spaces
+
+# Load model and tokenizer
+model_name = "Qwen/Qwen2.5-Coder-1.5B-Instruct"
+
+def load_model():
+    model = AutoModelForCausalLM.from_pretrained(
+        model_name,
+        torch_dtype=torch.float16,
+        device_map="auto"
+    )
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    return model, tokenizer
+
+model, tokenizer = load_model()
+
+@spaces.GPU(duration=60)  # Adjust duration based on your needs
+def fix_code(input_code):
+    # Prepare the prompt
+    messages = [
+        {"role": "system", "content": "You are a helpful coding assistant. Please analyze the following code, identify any errors, and provide the corrected version."},
+        {"role": "user", "content": f"Please fix this code:\n\n{input_code}"}
+    ]
+    
+    # Apply chat template
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+    
+    # Tokenize and generate
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=1024,
+        temperature=0.7,
+        top_p=0.95,
+    )
+    
+    # Decode only the new tokens
+    generated_ids = [
+        output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+    ]
+    response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    
+    return response
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=fix_code,
+    inputs=gr.Code(
+        label="Input Code",
+        language="python",
+        lines=10
+    ),
+    outputs=gr.Code(
+        label="Corrected Code",
+        language="python",
+        lines=10
+    ),
+    title="Code Correction Tool",
+    description="Enter your code with errors, and the AI will attempt to fix it.",
+    examples=[
+        ["def fibonacci(n):\n    if n = 0:\n        return 0\n    elif n == 1\n        return 1\n    else:\n        return fibonacci(n-1) + fibonacci(n-2)"],
+        ["for i in range(10)\n    print(i"]
+    ]
+)
+
+if __name__ == "__main__":
+    iface.launch()