Update app.py

app.py

@@ -1,21 +1,107 @@
 import gradio as gr
+from huggingface_hub import InferenceClient
+import random
 
-def conversation(prompt="", max_lenght=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
-  gr.load("models/CreitinGameplays/bloom-3b-conversational")
-  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()
+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()