Upload app.py

app.py

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+import gradio as gr
+from llama_cpp import Llama
+
+llm = Llama(model_path="vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g.GGML.bin", n_ctx=2048)
+
+def generate_text(llm, prompt, max_tokens=468, temperature=0.1, top_p=0.5):
+    output = llm(prompt, max_tokens=max_tokens, temperature=temperature, top_p=top_p, echo=False, stop=["#"])
+    text = output['choices'][0]['text']
+    return text
+
+input_text = gr.inputs.Textbox(lines= 10, label="Enter your input text")
+output_text = gr.outputs.Textbox(label="Output text")
+
+description = "llama.cpp implementation in python [https://github.com/abetlen/llama-cpp-python]"
+
+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."]
+]
+
+gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Vicuna Language Model", description=description, examples=examples).launch()
+