update app.py

app.py

@@ -23,65 +23,6 @@ download_file(ggml_model_path, filename)
 llm = Llama(model_path=filename, n_ctx=512, n_batch=126)
 
 
-def generate_text(prompt="Who is the CEO of Apple?"):
-    output = llm(
-        prompt,
-        max_tokens=256,
-        temperature=0.1,
-        top_p=0.5,
-        echo=False,
-        stop=["#"],
-    )
-    output_text = output["choices"][0]["text"].strip()
-
-    # Remove Prompt Echo from Generated Text
-    cleaned_output_text = output_text.replace(prompt, "")
-    return cleaned_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."],
-]
-
-gradio_interface = gr.Interface(
-    fn=generate_text,
-    inputs="text",
-    outputs="text",
-    examples=examples,
-    title="Vicuna-7B",
-)
-gradio_interface.launch()import os
-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):
-        urllib.request.urlretrieve(file_link, filename)
-        print("File downloaded successfully.")
-    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"
-
-download_file(ggml_model_path, filename)
-
-
-llm = Llama(model_path=filename, n_ctx=512, n_batch=126)
-
-
 def generate_text(prompt="Who is the CEO of Apple?"):
     output = llm(
         prompt,