Update app.py

app.py

@@ -707,6 +707,27 @@ while run_server:
                 ### <center>2. 更多精彩应用，尽在[滔滔AI](http://www.talktalkai.com)；滔滔AI，为爱滔滔！💕</center>
             """
         )
+        with gr.Tab("Instruct mode"):
+            gr.Markdown(f"Raven is [RWKV 7B](https://github.com/BlinkDL/ChatRWKV) 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM) finetuned to follow instructions. *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. Finetuned on alpaca, gpt4all, codealpaca and more. For best results, *** keep you prompt short and clear ***. <b>UPDATE: now with Chat (see above, as a tab) ==> turn off as of now due to VRAM leak caused by buggy code.</b>.")
+            with gr.Row():
+                with gr.Column():
+                    instruction = gr.Textbox(lines=2, label="Instruction", value="Tell me about ravens.")
+                    input = gr.Textbox(lines=2, label="Input", placeholder="none")
+                    token_count = gr.Slider(10, 300, label="Max Tokens", step=10, value=300)
+                    temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
+                    top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
+                    presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
+                    count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
+                with gr.Column():
+                    with gr.Row():
+                        submit = gr.Button("Submit", variant="primary")
+                        clear = gr.Button("Clear", variant="secondary")
+                    output = gr.Textbox(label="Output", lines=5)
+            data = gr.Dataset(components=[instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty], samples=examples, label="Example Instructions", headers=["Instruction", "Input", "Max Tokens", "Temperature", "Top P", "Presence Penalty", "Count Penalty"])
+            submit.click(evaluate, [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty], [output])
+            clear.click(lambda: None, [], [output])
+            data.click(lambda x: x, [data], [instruction, input, token_count, temperature, top_p, presence_penalty, count_penalty])
+    
         with gr.Tab("🐶 - Bark拟声"):
             with gr.Row():
                 with gr.Column():