added examples to python file

app.py

@@ -4,21 +4,19 @@ from llama_cpp import Llama
 llm = Llama(model_path="ggml-alpaca-7b-q4.bin")
 
 def generate_text(input_text):
-    output = llm(input_text, max_tokens=256, stop=["Q:", "\n"], echo=True)
+    output = llm(f"Q: {input_text} A:", max_tokens=256, stop=["Q:", "\n"], echo=True)
     return output['choices'][0]['text']
 
-input_text = gr.inputs.Textbox(label="Enter your input text")
+input_text = gr.inputs.Textbox(lines= 10, label="Enter your input text")
 output_text = gr.outputs.Textbox(label="Output text")
 
-gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Llama Language Model", description="Enter your input text to generate output text.").launch()
-
-
 description = "llama.cpp implementation in python [https://github.com/abetlen/llama-cpp-python]"
 
 examples = [
-    ["Q: What is the capital of France? A: ", "The capital of France is Paris."],
-    ["Q: Who wrote the novel 'Pride and Prejudice'? A: ", "The novel 'Pride and Prejudice' was written by Jane Austen."],
-    ["Q: What is the square root of 64? A: ", "The square root of 64 is 8."]
+    ["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="Llama Language Model", description=description, examples=examples).launch()
+