Update app.py

app.py

@@ -1,23 +1,109 @@
-from transformers import pipeline
-from transformers import Conversation
-
 import gradio as gr
+from huggingface_hub import InferenceClient
+import random
+
+models = [
+    "tatihden/gemma_mental_health_2b_en",
+    "tatihden/gemma_mental_health_7b_it_en",
+    "https://huggingface.co/tatihden/gemma_mental_health_2b_it_en"
+]
+
+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"<start_of_turn>user{user_prompt}<end_of_turn>"
+            prompt += f"<start_of_turn>model{bot_response}"
+    prompt += f"<start_of_turn>user{message}<end_of_turn><start_of_turn>model"
+    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)
 
-chatbot = pipeline(model="tatihden/gemma_mental_health_2b_it_en")
 
-message_list = []
-response_list = []
+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))
 
-def mini_chatbot(message, history):
-    conversation = Conversation(text=message,
-                                past_user_inputs=message_list,
-                                generated_responses=response_list)
-    conversation = chatbot(conversation)
 
-    return conversation.generated_responses[-1]
+with gr.Blocks() as app:
+    gr.HTML(
+        """<center><h1 style='font-size:xx-large;'>Google Gemma 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)
 
-demo_chatbot = gr.ChatInterface(mini_chatbot,
-                                title="CalmChat",
-                                description="Enter text to start chatting.")
+    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")
 
-demo_chatbot.launch()
+    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()