Update app.py

app.py

@@ -1,64 +1,103 @@
 import gradio as gr
+import os
 from huggingface_hub import InferenceClient
+import logging
+from typing import List, Tuple, Optional
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+logging.basicConfig(level=logging.INFO)
 
+# Load HF token from environment
+hf_token = os.environ.get("QWEN_BOT_TOKEN")
+client = InferenceClient("Qwen/Qwen2.5-72B-Instruct", token=hf_token)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+MAX_HISTORY_LENGTH = 20
+MEMORY_WINDOW = 5
+MAX_TOKENS = 1024
+TEMPERATURE = 0.7
+TOP_P = 0.95
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+def get_conversation_prompt():
+    return """You are Mr. Brightside, an endlessly positive, caring, and upbeat AI.
+Your job is to help the user see the bright side of any situation, no matter how bad it seems.
+Respond warmly and naturally. Use humor, kindness, or optimism to shift their perspective.
+Never dismiss their feelings — acknowledge them first, then gently guide them toward something good.
+Keep your replies short (2–4 sentences). Ask light questions or offer hopeful thoughts to keep the conversation going.
+You are not a therapist — you are a supportive and sunny companion who always looks on the bright side."""
 
-    messages.append({"role": "user", "content": message})
+def respond(message: str, chat_history: List[Tuple[str, str]]) -> Tuple[str, List[Tuple[str, str]]]:
+    if not message.strip():
+        return "", chat_history
 
-    response = ""
+    try:
+        api_messages = [{"role": "system", "content": get_conversation_prompt()}]
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+        for user_msg, bot_msg in chat_history[-MEMORY_WINDOW:]:
+            api_messages.extend([
+                {"role": "user", "content": user_msg},
+                {"role": "assistant", "content": bot_msg}
+            ])
 
-        response += token
-        yield response
+        api_messages.append({"role": "user", "content": message})
+        response = client.chat_completion(
+            messages=api_messages,
+            max_tokens=MAX_TOKENS,
+            temperature=TEMPERATURE,
+            top_p=TOP_P
+        )
 
+        bot_message = response.choices[0].message.content
+        updated_history = chat_history + [(message, bot_message)]
+        return "", updated_history
 
+    except Exception as e:
+        error_msg = f"Oops! Something went wrong. Please try again. (Error: {str(e)})"
+        return "", chat_history + [(message, error_msg)]
+
+def get_avatar_url():
+    return "https://api.dicebear.com/7.x/lorelei/svg?seed=sunshine"
+
+custom_css = """
+#voice-controls {
+    margin-top: 1em;
+    text-align: center;
+    opacity: 0.5;
+    font-size: 0.9rem;
+    font-style: italic;
+}
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
 
+with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
+    gr.Markdown("""
+    # ☀️ Mr. Brightside – Your Optimism Coach  
+    Talk to Mr. Brightside when things feel rough — he’s here to help you find the silver lining in any situation.
+    """)
+
+    avatar = get_avatar_url()
+    chatbot = gr.Chatbot(
+        height=400,
+        bubble_full_width=True,
+        show_copy_button=True,
+        avatar_images=[None, avatar],
+        scale=1,
+        min_width=800
+    )
+
+    msg = gr.Textbox(placeholder="Tell Mr. Brightside what's going on...")
+
+    with gr.Row():
+        submit = gr.Button("Send", variant="primary")
+        clear = gr.Button("New Chat")
+
+    gr.Markdown("""
+    <div id="voice-controls">
+    🎤 Voice input and 🔈 playback coming soon!
+    </div>
+    """)
+
+    msg.submit(fn=respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
+    submit.click(fn=respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
+    clear.click(lambda: [], None, chatbot, queue=False)
+    clear.click(lambda: "", None, msg, queue=False)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(server_name="0.0.0.0", server_port=7860)