Create app.py

app.py

@@ -0,0 +1,120 @@
+from huggingface_hub import InferenceClient
+import gradio as gr
+import random
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+     
+from prompts import GAME_MASTER, COMPRESS_HISTORY
+def format_prompt(message, history):
+  prompt = "<s>"
+  for user_prompt, bot_response in history:
+    prompt += f"[INST] {user_prompt} [/INST]"
+    prompt += f" {bot_response}</s> "
+  prompt += f"[INST] {message} [/INST]"
+  return prompt
+
+def compress_history(purpose, task, history):
+    resp = run_gpt(
+        COMPRESS_HISTORY,
+        stop_tokens=["observation:", "task:", "action:", "thought:"],
+        max_tokens=512,
+        seed=random.randint(1,1000000000),
+        purpose=purpose,
+        task=task,
+        history=history,
+    )
+    history = resp
+    return history
+MAX_HISTORY=100
+
+def generate(
+    prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+):
+    temperature = float(temperature)
+    if temperature < 1e-2:
+        temperature = 1e-2
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=random.randint(1,99999999999)
+        #seed=42,
+    )
+    cnt=0
+    for ea in history:
+        print (ea)
+        for l in ea:
+            print (l)
+            cnt+=len(l.split("\n"))
+    print(f'cnt:: {cnt}')
+    if cnt > MAX_HISTORY:
+        history = compress_history(history, prompt, history)
+    formatted_prompt = format_prompt(f"{GAME_MASTER}, {prompt}", history)
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+        yield output
+    return output
+
+
+additional_inputs=[
+    gr.Textbox(
+        label="System Prompt",
+        max_lines=1,
+        interactive=True,
+    ),
+    gr.Slider(
+        label="Temperature",
+        value=0.9,
+        minimum=0.0,
+        maximum=1.0,
+        step=0.05,
+        interactive=True,
+        info="Higher values produce more diverse outputs",
+    ),
+    gr.Slider(
+        label="Max new tokens",
+        value=1048,
+        minimum=0,
+        maximum=1048*10,
+        step=64,
+        interactive=True,
+        info="The maximum numbers of new tokens",
+    ),
+    gr.Slider(
+        label="Top-p (nucleus sampling)",
+        value=0.90,
+        minimum=0.0,
+        maximum=1,
+        step=0.05,
+        interactive=True,
+        info="Higher values sample more low-probability tokens",
+    ),
+    gr.Slider(
+        label="Repetition penalty",
+        value=1.2,
+        minimum=1.0,
+        maximum=2.0,
+        step=0.05,
+        interactive=True,
+        info="Penalize repeated tokens",
+    )
+]
+
+examples=[["Start the Game", None, None, None, None, None, ],
+          ["Start a Game based in the year 1322", None, None, None, None, None,],
+         ]
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+    additional_inputs=additional_inputs,
+    title="Mixtral 46.7B",
+    examples=examples,
+    concurrency_limit=20,
+).launch(share=True,show_api=True)