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README.md

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+---
+title: CS553
+emoji: 🖼
+colorFrom: purple
+colorTo: red
+sdk: gradio
+sdk_version: 4.42.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+import torch
+from transformers import pipeline
+
+# Inference client setup
+client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
+pipe = pipeline("text-generation", "microsoft/Phi-3.5-mini-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 a friendly Chatbot. Your job is to assist users in emergencies so reply fast but accuratly.",
+    max_tokens=2048,
+    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
+
+def clear_conversation():
+    return None
+
+# Custom CSS for an enhanced look
+custom_css = """
+body {
+    font-family: 'Roboto', sans-serif;
+    background-color: #f5f7fa;
+}
+#main-container {
+    max-width: 900px;
+    margin: 0 auto;
+    padding: 20px;
+    background: white;
+    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
+    border-radius: 15px;
+}
+.gradio-container {
+    margin-top: 20px;
+}
+.gr-button {
+    background-color: #4a90e2;
+    color: white;
+    border: none;
+    border-radius: 5px;
+    padding: 10px 20px;
+    cursor: pointer;
+    transition: all 0.3s ease;
+    font-weight: bold;
+}
+.gr-button:hover {
+    background-color: #357abd;
+    transform: translateY(-2px);
+    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+}
+.gr-button.secondary {
+    background-color: #f0f0f0;
+    color: #333;
+}
+.gr-button.secondary:hover {
+    background-color: #e0e0e0;
+}
+.gr-button.cancel {
+    background-color: #e74c3c;
+}
+.gr-button.cancel:hover {
+    background-color: #c0392b;
+}
+.gr-form {
+    border: 1px solid #e0e0e0;
+    padding: 15px;
+    border-radius: 10px;
+    background-color: #f9f9f9;
+}
+.gr-box {
+    border-radius: 8px;
+    border: 1px solid #e0e0e0;
+}
+.gr-padded {
+    padding: 15px;
+}
+.gr-chat {
+    font-size: 16px;
+    border: 1px solid #e0e0e0;
+    border-radius: 10px;
+    overflow: hidden;
+}
+.gr-chat .message {
+    padding: 10px 15px;
+    border-bottom: 1px solid #f0f0f0;
+}
+.gr-chat .user {
+    background-color: #e8f0fe;
+}
+.gr-chat .bot {
+    background-color: #ffffff;
+}
+#title {
+    text-align: center;
+    font-size: 2.5em;
+    margin-bottom: 20px;
+    color: #2c3e50;
+    text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
+}
+"""
+
+# Define the interface
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown("<h1 id='title'>🤖 EMERGENCY RESPONSE BOT 🚀</h1>")
+    gr.Markdown("Engage in a conversation with our AI chatbot using customizable settings. \n It's a demo bot for a emergency response system. \n NOTE: This bot was made for educational purposes only and should not be used in real emergencies.")
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            chat_history = gr.Chatbot(label="Chat", height=500)
+            user_input = gr.Textbox(show_label=False, placeholder="Type your message here...", lines=2)
+            with gr.Row():
+                submit_button = gr.Button("Send", variant="primary")
+                cancel_button = gr.Button("Cancel", variant="stop")
+                clear_button = gr.Button("Clear Chat", variant="secondary")
+        
+        with gr.Column(scale=1):
+            with gr.Accordion("Advanced Settings", open=False):
+                system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message", interactive=True)
+                use_local_model = gr.Checkbox(label="Use Local Model", value=False)
+                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)")
+            
+            with gr.Accordion("Chat Information", open=True):
+                message_count = gr.Number(label="Messages in Conversation", value=0, interactive=False)
+                word_count = gr.Number(label="Total Words", value=0, interactive=False)
+
+    # Event handlers
+    submit_button.click(respond, 
+                        [user_input, chat_history, system_message, max_tokens, temperature, top_p, use_local_model], 
+                        [chat_history])
+    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)
+    clear_button.click(clear_conversation, outputs=[chat_history])
+
+    # Update chat information
+    def update_chat_info(history):
+        if history is None:
+            return 0, 0
+        message_count = len(history)
+        word_count = sum(len(msg[0].split()) + len(msg[1].split()) for msg in history)
+        return message_count, word_count
+
+    chat_history.change(update_chat_info, inputs=[chat_history], outputs=[message_count, word_count])
+
+if __name__ == "__main__":
+    demo.launch(share=False)  # Remove share=True because it's not supported on HF Spaces

requirements.txt

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+huggingface_hub==0.23.*
+gradio==4.39.*
+torch==2.4.*
+transformers==4.43.*
+accelerate==0.33.*
+pytest==7.4.3

tests/test_app.py

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+import pytest
+import sys
+import os
+
+# Add the parent directory to the Python path
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from app import clear_conversation, update_chat_info, cancel_inference, respond, custom_css, demo
+
+def test_clear_conversation():
+    result = clear_conversation()
+    assert result is None
+
+def test_update_chat_info_empty():
+    history = None
+    message_count, word_count = update_chat_info(history)
+    assert message_count == 0
+    assert word_count == 0
+
+def test_cancel_inference():
+    cancel_inference()
+    from app import stop_inference
+    assert stop_inference == True
+
+def test_respond_input_types():
+    message = "Test message"
+    history = [("User", "Hello"), ("Bot", "Hi")]
+    system_message = "You are a test bot"
+    max_tokens = 100
+    temperature = 0.7
+    top_p = 0.9
+    use_local_model = False
+
+    generator = respond(message, history, system_message, max_tokens, temperature, top_p, use_local_model)
+    
+    assert hasattr(generator, '__next__')  # Check if it's a generator
+
+def test_custom_css_exists():
+    assert isinstance(custom_css, str)
+    assert len(custom_css) > 0
+
+def test_demo_object_creation():
+    assert demo is not None
+    assert hasattr(demo, 'launch')
+
+if __name__ == "__main__":
+    pytest.main([__file__])