Delete Tokenization/app.py

Tokenization/app.py

@@ -1,147 +0,0 @@
-import gradio as gr
-import time
-
-def calculate_price(payment_mode, tokens, plan, custom_price, file):
-    if payment_mode == "Pay as you go":
-        price = round(tokens * 0.01, 2)  # Example: $0.01 per token
-        return f"{tokens:,} tokens\nPrice: ${price:.2f}", price
-    elif payment_mode == "Plan":
-        if plan == "Free":
-            return "0 tokens\nPrice: $0", 0
-        elif plan == "Starter":
-            return "100,000 tokens\nPrice: $15", 15
-        elif plan == "Pro":
-            return "500,000 tokens\nPrice: $30", 30
-        elif plan == "Custom":
-            return f"Custom plan\nPrice: ${custom_price}", float(custom_price or 0)
-    elif file is not None:
-        # Simulate token count from file size
-        tokens = 1000  # Replace it with real calculation
-        price = round(tokens * 0.01, 2)
-        return f"{tokens:,} tokens\nPrice: ${price:.2f}", price
-    return "", 0
-
-def generate_dataset(*args, **kwargs):
-    for i in range(5):
-        yield f"Generating... ({(i+1)*20}%)", None, (i+1)/5
-        time.sleep(0.3)
-    yield "Ready! Please pay to download.", "dataset.jsonl", 1.0
-
-with gr.Blocks(
-    title="Nexa Data Studio",
-    css="""
-    body, .gradio-container {
-        min-height: 100vh;
-        background: #111 !important;
-        color: #fff !important;
-    }
-    .gradio-container {
-        max-width: 900px !important;
-        margin: 40px auto !important;
-        box-shadow: 0 2px 16px #0008;
-        border-radius: 16px;
-        padding: 32px 32px 24px 32px !important;
-        background: #111 !important;
-        color: #fff !important;
-        display: flex;
-        flex-direction: column;
-        align-items: center;
-    }
-    .footer {margin-top: 2em; color: #bbb; font-size: 0.9em; text-align: center;}
-    #header {text-align: center;}
-    """
-) as demo:
-    gr.Markdown(
-        """
-        <div style="display:flex;align-items:center;gap:16px;justify-content:center;">
-            <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" height="40"/>
-            <h1 style="margin-bottom:0;">Nexa Data Studio</h1>
-        </div>
-        <p style="text-align:center;">
-        <b>Generate or label scientific datasets for ML research.</b>
-        </p>
-        """,
-        elem_id="header"
-    )
-
-    payment_mode = gr.Radio(
-        ["Pay as you go", "Plan"],
-        label="Payment Mode",
-        value="Pay as you go"
-    )
-
-    with gr.Row() as payg_row:
-        tokens = gr.Slider(100, 100000, value=1000, step=100, label="Tokens Requested")
-    with gr.Row(visible=False) as plan_row:
-        plan = gr.Dropdown(
-            ["Free", "Starter", "Pro", "Custom"],
-            label="Plan",
-            value="Free"
-        )
-        custom_price = gr.Number(label="Custom Price ($)", visible=False)
-
-    job_type = gr.Radio(
-        ["Generate Dataset", "Label Uploaded Data"],
-        label="Job Type",
-        value="Generate Dataset"
-    )
-
-    with gr.Column(visible=False) as label_col:
-        file = gr.File(label="Upload Dataset (.txt or .jsonl)")
-
-    price_info = gr.Textbox(label="Summary", interactive=False)
-    download = gr.File(label="Download")
-    progress = gr.Slider(0, 1, value=0, step=0.01, label="Progress", interactive=False)
-    status = gr.Text(label="Status", interactive=False)
-
-    def update_payment_ui(payment_mode_val, plan_val):
-        return (
-            gr.update(visible=payment_mode_val == "Pay as you go"),
-            gr.update(visible=payment_mode_val == "Plan"),
-            gr.update(visible=payment_mode_val == "Plan" and plan_val == "Custom")
-        )
-
-    payment_mode.change(
-        update_payment_ui,
-        inputs=[payment_mode, plan],
-        outputs=[payg_row, plan_row, custom_price]
-    )
-    plan.change(
-        lambda p: gr.update(visible=p == "Custom"),
-        inputs=plan,
-        outputs=custom_price
-    )
-
-    def update_label_ui(job_type_val):
-        return gr.update(visible=job_type_val == "Label Uploaded Data")
-    job_type.change(update_label_ui, inputs=job_type, outputs=label_col)
-
-    def update_summary(payment_mode, tokens, plan, custom_price, file, job_type):
-        if job_type == "Label Uploaded Data" and file is not None:
-            return calculate_price("Label", tokens, plan, custom_price, file)[0]
-        return calculate_price(payment_mode, tokens, plan, custom_price, file)[0]
-
-    inputs = [payment_mode, tokens, plan, custom_price, file, job_type]
-    gr.Button("Generate", elem_id="generate-btn", variant="primary").click(
-        generate_dataset,
-        inputs=inputs,
-        outputs=[status, download, progress]
-    )
-    gr.Button("Update Summary").click(
-        update_summary,
-        inputs=inputs,
-        outputs=price_info
-    )
-
-    gr.Markdown(
-        f"""
-        <div class="footer">
-        &copy; {time.strftime("%Y")} Nexa Data Studio &mdash; Powered by Hugging Face Spaces<br>
-        For support, contact <a href="mailto:[email protected]">[email protected]</a>
-        </div>
-        """
-    )
-
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
-    print("Nexa Data Studio is running at http://localhost:7860")