Update app.py

app.py

@@ -1,43 +1,32 @@
 import gradio as gr
+import torch
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
 
-def code_generation(code):
-    """
-    Function to generate code based on user input.
-    This function will be called when the user interacts with the app.
-    """
-    # You can specify the programming language here
-    # based on the user's choice or default to a specific language.
-    language = "Python"  # Example: defaulting to Python
-
-    # Your code generation logic goes here
-    generated_code = generate_code(code, language)  # Replace with your code generation function
-
-    return generated_code
+# Load the model and tokenizer
+model_name = "abacaj/Replit-v2-CodeInstruct-3B-ggml"
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
 
-def generate_code(code, language):
-    """
-    Placeholder function for code generation logic.
-    Replace this with your actual code generation implementation.
-    """
-    generated_code = f"Generated {language} code: {code}"
+# Define the code generation function
+def code_generation(code):
+    inputs = tokenizer.encode(code, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
+    generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return generated_code
 
-# Define the Gradio interface
-inputs = gr.inputs.Textbox(lines=10, label="Enter your code")
-outputs = gr.outputs.Textbox(label="Generated code")
-
-interface = gr.Interface(
+# Create the Gradio interface
+iface = gr.Interface(
     fn=code_generation,
-    inputs=inputs,
-    outputs=outputs,
+    inputs=gr.inputs.Textbox(lines=10, label="Enter your code"),
+    outputs=gr.outputs.Textbox(label="Generated code"),
     title="Gardio App",
     description="An app that generates code based on user input.",
     examples=[
         ["Example input code snippet"],
         ["Another example input code snippet"],
     ],
-    allow_screenshot=True  # Enable screenshot functionality for sharing
+    allow_screenshot=True
 )
 
-if __name__ == "__main__":
-    interface.launch()
+# Launch the interface
+iface.launch()