Spaces:
Sleeping
Sleeping
Added correct authentication
Browse files
app.py
CHANGED
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@@ -6,8 +6,30 @@ For more information on `huggingface_hub` Inference API support, please check th
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def
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message,
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history: list[tuple[str, str]],
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system_message,
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@@ -43,7 +65,7 @@ def respond(
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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additional_inputs=[
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gr.Textbox(value="You are an expert in generating job descriptions.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def login_screen():
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username = gr.Textbox("Username: ").value
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password = gr.Textbox("Password: ", type="password").value
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if username == "admin" and password == "pass1234":
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return None # Login successful, no output
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else:
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return "Incorrect credentials. Please try again."
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def chat(message):
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if not hasattr(chat, 'authorized'):
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chat.authorized = None # Flag for login status
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if chat.authorized is None:
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response = login_screen()
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if response is None:
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chat.authorized = True
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return "Welcome! How can I help you generate a job description?"
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else:
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return response
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else:
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# Call the actual job description generation function
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return generate_job_description(message, max_tokens, temperature, top_p)
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def generate_job_description(
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message,
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history: list[tuple[str, str]],
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system_message,
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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chat,
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additional_inputs=[
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gr.Textbox(value="You are an expert in generating job descriptions.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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