Update app.py

app.py

@@ -1,239 +1,19 @@
-import os 
-from typing import Iterator
 import gradio as gr
-from text_generation import Client
+import os
 
-model_id = 'basakerdogan/Cyber-Jarvis-4Bit'
+# Tema dosyası değiştirildi
+with gr.Blocks(theme='light') as demo:
 
-API_URL = "https://api-inference.huggingface.co/models/" + model_id
-HF_TOKEN = os.environ.get('HF_READ_TOKEN', False)
+    model_id = 'basakerdogan/Cyber-Jarvis-4Bit'
+    API_URL = "https://api-inference.huggingface.co/models/" + model_id
+    HF_TOKEN = os.environ.get('HF_READ_TOKEN', False)
 
-client = Client(
-    API_URL, 
-    headers={'Authorization': f"Bearer {HF_TOKEN}"}
-)
-EOS_STRING = "</s>"
-EOT_STRING = "<EOT>"
-
-def get_prompt(message, chat_history, system_prompt):
-    texts = [f'<s>[INST] <<SYS>>\n{system_prompt}\n<</SYS>>\n\n']
-
-    do_strip = False
-    for user_input, response in chat_history:
-        user_input = user_input.strip() if do_strip else user_input
-        do_strip = True
-        texts.append(f"{user_input} [/INST] {response.strip()} </s><s>[INST] ")
-    message = message.strip() if do_strip else message
-    texts.append(f"{message} [/INST]")
-    return ''.join(texts)
-
-def run(message, chat_history, system_prompt, max_new_tokens=1024, temperature=0.1, top_p=0.9, top_k=50):
-    prompt = get_prompt(message, chat_history, system_prompt)
-
-    generate_kwargs = dict(
-        max_new_tokens=max_new_tokens,
-        do_sample=True,
-        top_p=top_p,
-        top_k=top_k,
-        temperature=temperature
-    )
-    stream = client.generate_stream(prompt, **generate_kwargs)
-    output = ''
-    for response in stream:
-        if any([end_token in response.token.text for end_token in [EOS_STRING, EOT_STRING]]):
-            return output
-        else:
-            output += response.token.text
-        yield output
-    return output
-
-DEFAULT_SYSTEM_PROMPT = """
-   >This Space features Cyber-Jarvis, an AI model inspired by Iron Man's J.A.R.V.I.S. Cyber-Jarvis is designed with cybersecurity in mind, drawing inspiration from the iconic AI assistant while focusing on security
-"""
-MAX_MAX_NEW_TOKENS = 4096
-DEFAULT_MAX_NEW_TOKENS = 256
-MAX_INPUT_TOKEN_LENGTH = 4000
-
-DESCRIPTION = "Cyber-Jarvis AI"
-
-def clear_and_save_textbox(message): return '', message
-
-def display_input(message, history=[]):
-    history.append((message, ''))
-    return history
-
-def delete_prev_fn(history=[]):
-    try:
-        message, _ = history.pop()
-    except IndexError:
-        message = ''
-    return history, message or ''
-
-def generate(message, history_with_input, system_prompt, max_new_tokens, temperature, top_p, top_k):
-    if max_new_tokens > MAX_MAX_NEW_TOKENS:
-        raise ValueError
-
-    history = history_with_input[:-1]
-    generator = run(message, history, system_prompt, max_new_tokens, temperature, top_p, top_k)
-    try:
-        first_response = next(generator)
-        yield history + [(message, first_response)]
-    except StopIteration:
-        yield history + [(message, '')]
-    for response in generator:
-        yield history + [(message, response)]
-
-def process_example(message):
-    generator = generate(message, [], DEFAULT_SYSTEM_PROMPT, 1024, 1, 0.95, 50)
-    for x in generator:
-        pass
-    return '', x
-
-def check_input_token_length(message, chat_history, system_prompt):
-    input_token_length = len(message) + len(chat_history)
-    if input_token_length > MAX_INPUT_TOKEN_LENGTH:
-        raise gr.Error(f"The accumulated input is too long ({input_token_length} > {MAX_INPUT_TOKEN_LENGTH}). Clear your chat history and try again.")
-
-with gr.Blocks(theme='Taithrah/Minimal') as demo:
-    gr.Markdown(DESCRIPTION)
-
-
-    
-    with gr.Group():
-        chatbot = gr.Chatbot(label='RickyAI based on Mistral-7B-Instruct-v0.1')
-        with gr.Row():
-            textbox = gr.Textbox(
-                container=False,
-                show_label=False,
-                placeholder='Hi, Ricky',
-                scale=10
-            )
-            submit_button = gr.Button('Submit', variant='primary', scale=1, min_width=0)
-
-    with gr.Row():
-        retry_button = gr.Button('Retry', variant='secondary')
-        undo_button = gr.Button('Undo', variant='secondary')
-        clear_button = gr.Button('Clear', variant='secondary')
-
-    saved_input = gr.State()
-
-    with gr.Accordion(label='Advanced options', open=False):
-        system_prompt = gr.Textbox(label='System prompt', value=DEFAULT_SYSTEM_PROMPT, lines=5, interactive=False)
-        max_new_tokens = gr.Slider(label='Max New Tokens', minimum=1, maximum=MAX_MAX_NEW_TOKENS, step=1, value=DEFAULT_MAX_NEW_TOKENS)
-        temperature = gr.Slider(label='Temperature', minimum=0.1, maximum=4.0, step=0.1, value=0.1)
-        top_p = gr.Slider(label='Top-P (nucleus sampling)', minimum=0.05, maximum=1.0, step=0.05, value=0.9)
-        top_k = gr.Slider(label='Top-K', minimum=1, maximum=1000, step=1, value=10)
-
-    textbox.submit(
-        fn=clear_and_save_textbox,
-        inputs=textbox,
-        outputs=[textbox, saved_input],
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=display_input,
-        inputs=[saved_input, chatbot],
-        outputs=chatbot,
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=check_input_token_length,
-        inputs=[saved_input, chatbot, system_prompt],
-        api_name=False,
-        queue=False,
-    ).success(
-        fn=generate,
-        inputs=[
-            saved_input,
-            chatbot,
-            system_prompt,
-            max_new_tokens,
-            temperature,
-            top_p,
-            top_k,
-        ],
-        outputs=chatbot,
-        api_name=False,
-    )
-
-    button_event_preprocess = submit_button.click(
-        fn=clear_and_save_textbox,
-        inputs=textbox,
-        outputs=[textbox, saved_input],
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=display_input,
-        inputs=[saved_input, chatbot],
-        outputs=chatbot,
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=check_input_token_length,
-        inputs=[saved_input, chatbot, system_prompt],
-        api_name=False,
-        queue=False,
-    ).success(
-        fn=generate,
-        inputs=[
-            saved_input,
-            chatbot,
-            system_prompt,
-            max_new_tokens,
-            temperature,
-            top_p,
-            top_k,
-        ],
-        outputs=chatbot,
-        api_name=False,
-    )
-
-    retry_button.click(
-        fn=delete_prev_fn,
-        inputs=chatbot,
-        outputs=[chatbot, saved_input],
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=display_input,
-        inputs=[saved_input, chatbot],
-        outputs=chatbot,
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=generate,
-        inputs=[
-            saved_input,
-            chatbot,
-            system_prompt,
-            max_new_tokens,
-            temperature,
-            top_p,
-            top_k,
-        ],
-        outputs=chatbot,
-        api_name=False,
-    )
-
-    undo_button.click(
-        fn=delete_prev_fn,
-        inputs=chatbot,
-        outputs=[chatbot, saved_input],
-        api_name=False,
-        queue=False,
-    ).then(
-        fn=lambda x: x,
-        inputs=[saved_input],
-        outputs=textbox,
-        api_name=False,
-        queue=False,
-    )
-
-    clear_button.click(
-        fn=lambda: ([], ''),
-        outputs=[chatbot, saved_input],
-        queue=False,
-        api_name=False,
+    client = Client(
+        API_URL, 
+        headers={'Authorization': f"Bearer {HF_TOKEN}"}
     )
+    EOS_STRING = "</s>"
+    EOT_STRING = "<EOT>"
 
-demo.queue(max_size=32).launch(show_api=False)
+    def get_prompt(message, chat_history, system_prompt):
+        texts = [f'<s>[INST] <<SYS>>\n{system_prompt}\n