Upload app.py (#2)

- Upload app.py (e0bc7abac77b21a7e81c8eec5fddd54080274992)

app.py

@@ -3,6 +3,7 @@ import urllib.request
 import gradio as gr
 from llama_cpp import Llama
 
+
 def download_file(file_link, filename):
     # Checks if the file already exists before downloading
     if not os.path.isfile(filename):
@@ -11,6 +12,7 @@ def download_file(file_link, filename):
     else:
         print("File already exists.")
 
+
 # Dowloading GGML model from HuggingFace
 ggml_model_path = "https://huggingface.co/CRD716/ggml-vicuna-1.1-quantized/resolve/main/ggml-vicuna-7b-1.1-q4_1.bin"
 filename = "ggml-vicuna-7b-1.1-q4_1.bin"
@@ -20,26 +22,36 @@ download_file(ggml_model_path, filename)
 
 llm = Llama(model_path=filename, n_ctx=512, n_batch=126)
 
+
 def generate_text(prompt):
-    output = llm(prompt, max_tokens=256, temperature=0.1, top_p=0.5, echo=False, stop=["#"])
-    output_text = output['choices'][0]['text']
+    output = llm(
+        prompt,
+        max_tokens=256,
+        temperature=0.1,
+        top_p=0.5,
+        echo=False,
+        stop=["#"],
+    )
+    output_text = output["choices"][0]["text"]
     return output_text
 
+
 description = "Vicuna-7B"
 
 examples = [
     ["What is the capital of France? ", "The capital of France is Paris."],
-    ["Who wrote the novel 'Pride and Prejudice'?", "The novel 'Pride and Prejudice' was written by Jane Austen."],
-    ["What is the square root of 64?", "The square root of 64 is 8."]
+    [
+        "Who wrote the novel 'Pride and Prejudice'?",
+        "The novel 'Pride and Prejudice' was written by Jane Austen.",
+    ],
+    ["What is the square root of 64?", "The square root of 64 is 8."],
 ]
 
 gradio_interface = gr.Interface(
-  fn=generate_text,
-  inputs="text",
-  outputs="text",
-  examples=examples
-  title="Vicuna-7B",
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    examples=examples,
+    title="Vicuna-7B",
 )
 gradio_interface.launch()
-
-