Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,9 @@
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from huggingface_hub import InferenceClient
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import gradio as gr
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# HuggingFace Mistral modeli istemcisi
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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#
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {message} [/INST]"
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return prompt
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#
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def generate(message, history, file
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if file is not None:
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try:
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file_content = file.read().decode("utf-8")
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message += f"\n\n📎
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except Exception as e:
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message += f"\n\n(Dosya okunamadı: {str(e)})"
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temperature = float(max(temperature, 1e-2))
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top_p = float(top_p)
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generate_kwargs = dict(
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temperature=temperature,
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max_new_tokens=max_new_tokens,
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top_p=top_p,
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@@ -37,69 +32,68 @@ def generate(message, history, file=None, temperature=0.9, max_new_tokens=256, t
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seed=42,
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stream=True,
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details=True,
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return_full_text=False
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)
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stream = client.text_generation(formatted_prompt, **generate_kwargs)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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gr.Slider(label="🔥 Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05),
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gr.Slider(label="🧠 Max new tokens", value=256, minimum=0, maximum=1024, step=64),
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gr.Slider(label="🎯 Top-p", value=0.9, minimum=0.0, maximum=1.0, step=0.05),
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gr.Slider(label="🔁 Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05),
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]
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# Giriş ekranındaki butona basıldığında
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def start_chat(checkbox_state):
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if checkbox_state:
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return gr.update(visible=False), gr.update(visible=True)
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else:
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raise gr.Error("
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#
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with gr.Blocks(theme="Nymbo/Alyx_Theme") as app:
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# Giriş ekranı
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with gr.Group(visible=True) as
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gr.Markdown("""
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##
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- Tüm kullanım **kendi sorumluluğunuzdadır**.
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Devam etmek için
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""")
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#
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with gr.Group(visible=False) as
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gr.
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# Giriş ekranından chate geçiş
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# Uygulamayı başlat
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app.launch()
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from huggingface_hub import InferenceClient
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import gradio as gr
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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# Prompt formatlayıcı
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {message} [/INST]"
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return prompt
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# Modelden cevap üret
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def generate(message, history, file, temperature, max_new_tokens, top_p, repetition_penalty):
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if file:
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try:
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file_content = file.read().decode("utf-8")
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message += f"\n\n📎 Dosya içeriği:\n{file_content}"
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except Exception as e:
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message += f"\n\n📎 (Dosya okunamadı: {str(e)})"
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prompt = format_prompt(message, history)
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stream = client.text_generation(
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prompt,
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temperature=temperature,
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max_new_tokens=max_new_tokens,
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top_p=top_p,
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seed=42,
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stream=True,
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details=True,
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return_full_text=False
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)
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output = ""
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for response in stream:
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output += response.token.text
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yield output
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# Kullanıcı onayı kontrolü
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def start_chat(approved):
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if approved:
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return gr.update(visible=False), gr.update(visible=True)
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else:
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raise gr.Error("Kutucuğu işaretlemeden devam edemezsin Patron!")
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# Arayüz
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with gr.Blocks(theme="Nymbo/Alyx_Theme") as app:
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# Giriş ekranı
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with gr.Group(visible=True) as intro:
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gr.Markdown("""
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## 📜 Kullanım Şartları ve Sorumluluk Reddi
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Bu uygulama deneysel bir yapay zekâ içerir.
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Tıbbi, hukuki, etik veya finansal tavsiye vermez.
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Tüm sorumluluk kullanıcıya aittir.
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Devam etmek için kutucuğu işaretleyin.
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""")
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agree = gr.Checkbox(label="✅ Okudum, Onaylıyorum")
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start_btn = gr.Button("🚀 Başla")
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# Chat ekranı
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with gr.Group(visible=False) as chat:
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chatbot = gr.Chatbot(label="🧠 AlpDroid", show_label=False)
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with gr.Row():
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user_input = gr.Textbox(placeholder="Mesajını yaz...", scale=4)
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file_upload = gr.File(label="📎", file_types=[".txt", ".csv", ".md", ".json"], scale=1)
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send_btn = gr.Button("Gönder")
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# Ayarlar
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with gr.Accordion("Ayarlar", open=False):
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temperature = gr.Slider(0.1, 1.0, value=0.9, label="🔥 Temperature")
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max_new_tokens = gr.Slider(64, 1024, value=256, step=64, label="🧠 Max New Tokens")
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top_p = gr.Slider(0.1, 1.0, value=0.95, label="🎯 Top-p")
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repetition_penalty = gr.Slider(1.0, 2.0, value=1.2, label="🔁 Repetition Penalty")
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# Geçmiş
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state = gr.State([])
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def user_submit(msg, history):
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history = history + [[msg, None]]
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return "", history
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def bot_response(history, file, temperature, max_new_tokens, top_p, repetition_penalty):
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message = history[-1][0]
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response = generate(message, history[:-1], file, temperature, max_new_tokens, top_p, repetition_penalty)
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return chatbot.stream(response, history, message_index=-1)
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send_btn.click(fn=user_submit, inputs=[user_input, state], outputs=[user_input, state])
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send_btn.click(fn=bot_response, inputs=[state, file_upload, temperature, max_new_tokens, top_p, repetition_penalty], outputs=[chatbot, state])
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# Giriş ekranından chate geçiş
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start_btn.click(fn=start_chat, inputs=[agree], outputs=[intro, chat])
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app.launch()
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