Update app.py

app.py

@@ -77,15 +77,14 @@ if torch.__version__ >= "2":
 
 def evaluate(
     instruction,
-    input=None,
+):
     temperature=0.1,
     top_p=0.75,
     top_k=40,
     num_beams=4,
     max_new_tokens=128,
-    **kwargs,
-):
-    prompt = generate_prompt(instruction, input)
+
+    prompt = instruction
     inputs = tokenizer(prompt, return_tensors="pt")
     input_ids = inputs["input_ids"].to(device)
     generation_config = GenerationConfig(
@@ -110,25 +109,13 @@ def evaluate(
 
 g = gr.Interface(
     fn=evaluate,
-    inputs=[
-        gr.components.Textbox(
+    inputs= gr.components.Textbox(
             lines=2, label="Instruction", placeholder="Tell me about alpacas."
-        ),
-        gr.components.Textbox(lines=2, label="Input", placeholder="none"),
-        gr.components.Slider(minimum=0, maximum=1, value=0.1, label="Temperature"),
-        gr.components.Slider(minimum=0, maximum=1, value=0.75, label="Top p"),
-        gr.components.Slider(minimum=0, maximum=100, step=1, value=40, label="Top k"),
-        gr.components.Slider(minimum=1, maximum=4, step=1, value=4, label="Beams"),
-        gr.components.Slider(
-            minimum=1, maximum=512, step=1, value=128, label="Max tokens"
-        ),
-    ],
-    outputs=[
-        gr.inputs.Textbox(
+    ),
+    outputs= gr.inputs.Textbox(
             lines=5,
             label="Output",
-        )
-    ],
+    ),
     title="bloom 1b1",
     description="",
 )