delete files

.ipynb_checkpoints/README-checkpoint.md

@@ -1,12 +0,0 @@
----
-title: CodeGen Subspace
-emoji: 🔮
-colorFrom: green
-colorTo: purple
-sdk: gradio
-sdk_version: 3.0.4
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

.ipynb_checkpoints/app-checkpoint.py

@@ -1,57 +0,0 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed
-from transformers import pipeline
-
-
-title = "CodeGen Generator"
-description = "This is a subspace to make code generation with [CodeGen](https://huggingface.co/Salesforce/codegen-16B-mono), it is used in a larger [space](https://huggingface.co/spaces/loubnabnl/Code-generation-models-v1) for model comparison. We use the 2B parameters model in this space.
-example = [
-    ["def print_hello_world():", 8, 0.6, 42],
-    ["def get_file_size(filepath):", 24, 0.6, 42],
-    ["def count_lines(filename):", 40, 0.6, 42],
-    ["def count_words(filename):", 40, 0.6, 42]]
-tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-2B-mono")
-model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-2B-mono", low_cpu_mem_usage=True)
-
-
-def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42):
-    set_seed(seed)
-    pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
-    generated_text = pipe(gen_prompt, do_sample=True, top_p=0.95, temperature=temperature, max_new_tokens=max_tokens)[0]['generated_text']
-    return generated_text
-
-
-iface = gr.Interface(
-    fn=code_generation, 
-    inputs=[
-        gr.Textbox(lines=10, label="Input code"),
-        gr.inputs.Slider(
-            minimum=8,
-            maximum=256,
-            step=1,
-            default=8,
-            label="Number of tokens to generate",
-        ),
-        gr.inputs.Slider(
-            minimum=0,
-            maximum=2,
-            step=0.1,
-            default=0.6,
-            label="Temperature",
-        ),
-        gr.inputs.Slider(
-            minimum=0,
-            maximum=1000,
-            step=1,
-            default=42,
-            label="Random seed to use for the generation"
-        )
-    ],
-    outputs=gr.Textbox(label="Predicted code", lines=10),
-    examples=example,
-    layout="horizontal",
-    theme="peach",
-    description=description,
-    title=title
-)
-iface.launch()

.ipynb_checkpoints/requirements-checkpoint.txt

@@ -1,2 +0,0 @@
-git+https://github.com/rooa/transformers.git@add_codegen
-torch