Duplicate from mrm8488/santacoder-bash-completion

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README.md

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+---
+title: Santacoder Bash/Shell completion
+emoji: 🎅🐚
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 3.0.4
+app_file: app.py
+pinned: false
+duplicated_from: mrm8488/santacoder-bash-completion
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
+
+title = "SantaCoder 🎅 bash/shell 🐚 Completion"
+description = "This is a subspace to make code generation with [SantaCoder fine-tuned on The Stack bash/shell](https://huggingface.co/mrm8488/santacoder-finetuned-the-stack-bash-4)"
+EXAMPLE_0 = "#!/bin/bash\n# This script removes files larger than 2MB in the current folder\nfind ."
+EXAMPLE_1 = "#!/bin/bash\n\n# This script send an email\nto=”admin@example.com”\nsubject=”Greeting”\nmsg=”Welcome to our site”\n"
+EXAMPLE_3 = "#!/bin/bash\n# This script convert avi files to mp4\nfor filename in $(ls *.avi); do\n"
+EXAMPLE_4 = "#!/bin/bash\nsource=$1\ndest=$2\n# copy source on dest\n"
+EXAMPLE_5 = """#!/bin/bash\n\n# This script check if the arg passed as first arg is a founder of huggingface\nfounders_array=("julien" "thom" "clem")"""
+
+
+examples = [[EXAMPLE_0, 14, 0.6, 42], [EXAMPLE_1, 28, 0.6, 42], [EXAMPLE_3, 46, 0.6, 42], [EXAMPLE_4, 35, 0.6, 43], [EXAMPLE_5, 70, 0.6, 43]]
+tokenizer = AutoTokenizer.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4")
+model = AutoModelForCausalLM.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4", trust_remote_code=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=examples,
+    layout="horizontal",
+    theme="peach",
+    description=description,
+    title=title
+)
+iface.launch()

requirements.txt

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+transformers==4.19.0
+accelerate==0.10.0
+torch==1.11.0