upload app.py file

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+import torch
+from transformers import pipeline
+
+from typing import Iterable
+from gradio.themes.base import Base
+from gradio.themes.utils import colors, fonts, sizes
+
+# Inference client setup
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+pipe = pipeline("text-generation", "microsoft/Phi-3-mini-4k-instruct", torch_dtype=torch.bfloat16, device_map="auto")
+
+# Global flag to handle cancellation
+stop_inference = False
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message="You are not a friendly Chatbot.",
+    max_tokens=512,
+    temperature=0.7,
+    top_p=0.95,
+    use_local_model=False,
+):
+    global stop_inference
+    stop_inference = False  # Reset cancellation flag
+
+    # Initialize history if it's None
+    if history is None:
+        history = []
+
+    if use_local_model:
+        # local inference 
+        messages = [{"role": "system", "content": system_message}]
+        for val in history:
+            if val[0]:
+                messages.append({"role": "user", "content": val[0]})
+            if val[1]:
+                messages.append({"role": "assistant", "content": val[1]})
+        messages.append({"role": "user", "content": message})
+
+        response = ""
+        for output in pipe(
+            messages,
+            max_new_tokens=max_tokens,
+            temperature=temperature,
+            do_sample=True,
+            top_p=top_p,
+        ):
+            if stop_inference:
+                response = "Inference cancelled."
+                yield history + [(message, response)]
+                return
+            token = output['generated_text'][-1]['content']
+            response += token
+            yield history + [(message, response)]  # Yield history + new response
+
+    else:
+        # API-based inference 
+        messages = [{"role": "system", "content": system_message}]
+        for val in history:
+            if val[0]:
+                messages.append({"role": "user", "content": val[0]})
+            if val[1]:
+                messages.append({"role": "assistant", "content": val[1]})
+        messages.append({"role": "user", "content": message})
+
+        response = ""
+        for message_chunk in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            if stop_inference:
+                response = "Inference cancelled."
+                yield history + [(message, response)]
+                return
+            if stop_inference:
+                response = "Inference cancelled."
+                break
+            token = message_chunk.choices[0].delta.content
+            response += token
+            yield history + [(message, response)]  # Yield history + new response
+
+
+def cancel_inference():
+    global stop_inference
+    stop_inference = True
+
+# Custom CSS for a fancy look
+custom_css = """
+#main-container {
+    background-color: #FFC0CB;
+    font-family: 'Arial', sans-serif;
+}
+
+.gradio-container {
+    max-width: 700px;
+    margin: 0 auto;
+    padding: 20px;
+    background: white;
+    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+    border-radius: 10px;
+}
+
+.gr-button {
+    background-color: #4CAF50;
+    color: white;
+    border: none;
+    border-radius: 5px;
+    padding: 10px 20px;
+    cursor: pointer;
+    transition: background-color 0.3s ease;
+}
+
+.gr-button:hover {
+    background-color: #45a049;
+}
+
+.gr-slider input {
+    color: #4CAF50;
+}
+
+.gr-chat {
+    font-size: 16px;
+}
+
+#title {
+    text-align: center;
+    font-size: 2em;
+    margin-bottom: 20px;
+    color: #333;
+}
+"""
+
+class UI_design(Base):
+    def __init__(
+        self,
+        *,
+        primary_hue: colors.Color | str = colors.emerald,
+        secondary_hue: colors.Color | str = colors.blue,
+        neutral_hue: colors.Color | str = colors.blue,
+        spacing_size: sizes.Size | str = sizes.spacing_md,
+        radius_size: sizes.Size | str = sizes.radius_md,
+        text_size: sizes.Size | str = sizes.text_lg,
+        font: fonts.Font      
+        | str
+        | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("Quicksand"),
+            "ui-sans-serif",
+            "sans-serif",
+        ),
+        font_mono: fonts.Font
+        | str
+        | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("IBM Plex Mono"),
+            "ui-monospace",
+            "monospace",
+        ),
+    ):
+        super().__init__(
+            primary_hue=primary_hue,
+            secondary_hue=secondary_hue,
+            neutral_hue=neutral_hue,
+            spacing_size=spacing_size,
+            radius_size=radius_size,
+            text_size=text_size,
+            font=font,
+            font_mono=font_mono,
+        )
+        super().set(
+            body_background_fill="repeating-linear-gradient(45deg, *primary_200, *primary_200 10px, *primary_50 10px, *primary_50 20px)",
+            body_background_fill_dark="repeating-linear-gradient(45deg, *primary_800, *primary_800 10px, *primary_900 10px, *primary_900 20px)",
+            button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
+            button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
+            button_primary_text_color="white",
+            button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
+            slider_color="*secondary_300",
+            slider_color_dark="*secondary_600",
+            block_title_text_weight="600",
+            block_border_width="3px",
+            block_shadow="*shadow_drop_lg",
+            button_shadow="*shadow_drop_lg",
+            button_large_padding="32px",
+        )
+
+ui_design = UI_design()
+
+# Define the interface
+with gr.Blocks(theme=ui_design) as demo:
+    gr.Markdown("<h1 style='text-align: left;'>🌟 NOT Fancy AI Chatbot 🌟</h1>")
+    gr.Markdown("DONT Interact with the AI chatbot using customizable settings below.")
+
+    with gr.Row():
+        with gr.Column():
+            with gr.Tabs() as input_tabs:
+                with gr.Tab("Sketch"):
+                    input_sketchpad = gr.Sketchpad(type="pil", label="Sketch", layers=False)
+            
+            input_text = gr.Textbox(label="input your question")
+
+            with gr.Row():
+                # with gr.Column():
+                #     clear_btn = gr.ClearButton(
+                #         [input_sketchpad, input_text])
+                with gr.Column():
+                    submit_btn = gr.Button("Submit", variant="primary") 
+
+    with gr.Row():
+        system_message = gr.Textbox(value="You are not a friendly Chatbot.", label="System message", interactive=True)
+        use_local_model = gr.Checkbox(label="Use Local Model", value=False)
+        button_1 = gr.Button("Submit", variant="primary")
+    with gr.Row():
+        max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+
+    chat_history = gr.Chatbot(label="Chat")
+
+    user_input = gr.Textbox(show_label=False, placeholder="Type your message here...")
+
+    cancel_button = gr.Button("Cancel Inference", variant="danger")
+
+    # Adjusted to ensure history is maintained and passed correctly
+    user_input.submit(respond, [user_input, chat_history, system_message, max_tokens, temperature, top_p, use_local_model], chat_history)
+
+    cancel_button.click(cancel_inference)
+
+if __name__ == "__main__":
+    demo.launch(share=False)  # Remove share=True because it's not supported on HF Spaces
+