Update app.py

app.py

@@ -1,107 +1,20 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-import random
 
-models = [
-    "CreitinGameplays/bloom-3b-conversational"   
-]
-
-clients = []
-for model in models:
-    clients.append(InferenceClient(model))
-
-
-def format_prompt(message, history):
-    prompt = ""
-    if history:
-        for user_prompt, bot_response in history:
-            prompt += f"<|prompter|>{user_prompt}</s>"
-            prompt += f"<|assistant|>{bot_response}"
-    prompt += f"<|prompter|>{message}</s><|assistant|>"
-    return prompt
-
-
-def chat_inf(system_prompt, prompt, history, client_choice, seed, temp, tokens, top_p, rep_p):
-    client = clients[int(client_choice) - 1]
-    if not history:
-        history = []
-        hist_len = 0
-    if history:
-        hist_len = len(history)
-        print(hist_len)
-
-    generate_kwargs = dict(
-        temperature=temp,
-        max_new_tokens=tokens,
-        top_p=top_p,
-        repetition_penalty=rep_p,
-        do_sample=True,
-        seed=seed,
-    )
-    formatted_prompt = format_prompt(f"{system_prompt}, {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 [(prompt, output)]
-    history.append((prompt, output))
-    yield history
-
-
-def clear_fn():
-    return None
-
-
-rand_val = random.randint(1, 1111111111111111)
-
-
-def check_rand(inp, val):
-    if inp is True:
-        return gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, value=random.randint(1, 1111111111111111))
-    else:
-        return gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, value=int(val))
-
-
-with gr.Blocks() as app:
-    gr.HTML(
-        """<center><h1 style='font-size:xx-large;'>Models</h1></center>""")
-    with gr.Group():
-        with gr.Row():
-            client_choice = gr.Dropdown(label="Models", type='index', choices=[c for c in models], value=models[0],
-                                        interactive=True)
-    chat_b = gr.Chatbot(height=500)
-    with gr.Group():
-        with gr.Row():
-            with gr.Column(scale=1):
-                with gr.Group():
-                    rand = gr.Checkbox(label="Random Seed", value=True)
-                    seed = gr.Slider(label="Seed", minimum=1, maximum=1111111111111111, step=1, value=rand_val)
-                    tokens = gr.Slider(label="Max new tokens", value=6400, minimum=0, maximum=8000, step=64,
-                                       interactive=True, visible=True, info="The maximum number of tokens")
-            with gr.Column(scale=1):
-                with gr.Group():
-                    temp = gr.Slider(label="Temperature", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
-                    top_p = gr.Slider(label="Top-P", step=0.01, minimum=0.01, maximum=1.0, value=0.9)
-                    rep_p = gr.Slider(label="Repetition Penalty", step=0.1, minimum=0.1, maximum=2.0, value=1.0)
-
-    with gr.Group():
-        with gr.Row():
-            with gr.Column(scale=3):
-                sys_inp = gr.Textbox(label="System Prompt (optional)")
-                inp = gr.Textbox(label="Prompt")
-                with gr.Row():
-                    btn = gr.Button("Chat")
-                    stop_btn = gr.Button("Stop")
-                    clear_btn = gr.Button("Clear")
-
-    chat_sub = inp.submit(check_rand, [rand, seed], seed).then(chat_inf,
-                                                               [sys_inp, inp, chat_b, client_choice, seed, temp, tokens,
-                                                                top_p, rep_p], chat_b)
-    go = btn.click(check_rand, [rand, seed], seed).then(chat_inf,
-                                                        [sys_inp, inp, chat_b, client_choice, seed, temp, tokens, top_p,
-                                                         rep_p], chat_b)
-    stop_btn.click(None, None, None, cancels=[go, chat_sub])
-    clear_btn.click(clear_fn, None, [chat_b])
-app.queue(default_concurrency_limit=10).launch()
+def conversation(prompt="", max_tokens=128):
+  # Integrate your Bloom 3b model here to generate response based on prompt and max_tokens
+  # Replace this with the actual call to your Bloom 3b model
+  response = "Bloom 3b is currently unavailable. Try again later!"
+  return response
+
+interface = gr.Interface(
+  fn=conversation,
+  inputs=[
+      gr.Textbox(label="Text Prompt", value="<|system|> You are a helpful AI assistant </s> <|prompter|> What is an AI? </s> <|assistant|>"),
+      gr.Slider(minimum=1, maximum=1024, label="Max New Tokens", value=128),
+  ],
+  outputs=gr.Textbox(label="AI Assistant Response"),  # Textbox for the response
+  title="Bloom 3b Conversational Assistant",
+  description="Talk to Bloom 3b using a text prompt and adjust the maximum number tokens for response generation.",
+)
+
+interface.launch()