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Update app.py
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app.py
CHANGED
@@ -1,10 +1,7 @@
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import gradio as gr
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import os
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import uuid
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import time
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from io import BytesIO
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from openai import OpenAI
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from captcha.image import ImageCaptcha
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# --- Configuration ---
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client = OpenAI(
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MODEL_NAME = "deepseek/deepseek-r1-0528-qwen3-8b:free"
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ALPHAAI_CONTEXT = os.environ.get("ALPHAAI_CONTEXT", "")
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# --- Captcha State ---
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captcha_store = {}
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# --- Captcha Generation ---
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def generate_captcha():
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code = str(uuid.uuid4())[:6].upper()
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image = ImageCaptcha()
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buffer = BytesIO()
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image.write(code, buffer)
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buffer.seek(0)
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captcha_store[code] = True
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return buffer, code
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# --- Chatbot Backend ---
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def chat_with_llm(user_input):
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try:
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# --- Gradio UI ---
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with gr.Blocks() as demo:
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gr.Markdown("#
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gr.Markdown("
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captcha_image = gr.Image(type="numpy", label="CAPTCHA Image")
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captcha_input = gr.Textbox(label="Enter CAPTCHA")
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verify_btn = gr.Button("Verify CAPTCHA")
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chatbot_area = gr.Column(visible=False)
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clear = gr.Button("Clear")
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def verify_captcha(user_code):
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user_code = user_code.strip().upper()
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if user_code in captcha_store:
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del captcha_store[user_code]
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return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
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else:
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return gr.update(), gr.update(value="Invalid CAPTCHA. Try again."), gr.update(), gr.update(visible=False)
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def user(user_message, history: list):
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return "", history + [{"role": "user", "content": user_message}]
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time.sleep(0.02)
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yield history
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image_data, correct_code = generate_captcha()
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captcha_image.value = image_data
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verify_btn.click(verify_captcha, inputs=[captcha_input], outputs=[captcha_image, captcha_input, captcha_input, chatbot_area])
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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# Launch (required for Hugging Face Space)
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demo.launch()
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import gradio as gr
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import os
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import time
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from openai import OpenAI
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# --- Configuration ---
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client = OpenAI(
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MODEL_NAME = "deepseek/deepseek-r1-0528-qwen3-8b:free"
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ALPHAAI_CONTEXT = os.environ.get("ALPHAAI_CONTEXT", "")
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# --- Chatbot Backend ---
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def chat_with_llm(user_input):
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try:
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# --- Gradio UI ---
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with gr.Blocks() as demo:
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gr.Markdown("# 🧠 Alpha AI Assistant")
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gr.Markdown("Ask anything about Alpha AI.")
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chatbot = gr.Chatbot(type="messages")
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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def user(user_message, history: list):
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return "", history + [{"role": "user", "content": user_message}]
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time.sleep(0.02)
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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# Launch (required for Hugging Face Space)
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demo.launch()
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