aaaaa

app.py

@@ -37,7 +37,7 @@ def respond(
         messages.append({"role": "user", "content": message})
 
         response = ""
-        for message in client.chat_completion(
+        for message_chunk in client.chat_completion(
             messages,
             max_tokens=max_tokens,
             stream=True,
@@ -45,14 +45,17 @@ def respond(
             top_p=top_p,
         ):
             if stop_inference:
-                history.append((message, "Inference cancelled."))
-                yield history
+                response = "Inference cancelled."
                 break
-            token = message.choices[0].delta.content
+            token = message_chunk.choices[0].delta.content
             response += token
-            history.append((message, response))
+            history[-1] = (message, response)
             yield history
 
+        # Finalize response in history
+        history.append((message, response))
+        yield history
+
 def cancel_inference():
     global stop_inference
     stop_inference = True
@@ -124,6 +127,7 @@ with gr.Blocks(css=custom_css) as demo:
     cancel_button = gr.Button("Cancel Inference", variant="danger")
 
     def chat_fn(message, history):
+        history.append((message, ""))  # Initialize with empty response
         return respond(
             message,
             history,

app_interface.py

@@ -0,0 +1,141 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+import time
+
+# Inference client setup
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+# Global flag to handle cancellation
+stop_inference = False
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+    use_local_model,
+):
+    global stop_inference
+    stop_inference = False  # Reset cancellation flag
+
+    if use_local_model:
+        # Simulate local inference
+        time.sleep(2)  # simulate a delay
+        response = "This is a response from the local model."
+        history.append((message, response))
+        yield history
+    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 in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            if stop_inference:
+                history.append((message, "Inference cancelled."))
+                yield history
+                break
+            token = message.choices[0].delta.content
+            response += token
+            history.append((message, response))
+            yield history
+
+def cancel_inference():
+    global stop_inference
+    stop_inference = True
+
+# Custom CSS for a fancy look
+custom_css = """
+#main-container {
+    background-color: #f0f0f0;
+    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;
+}
+"""
+
+# Define the interface
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown("<h1 style='text-align: center;'>🌟 Fancy AI Chatbot 🌟</h1>")
+    gr.Markdown("Interact with the AI chatbot using customizable settings below.")
+
+    with gr.Row():
+        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)
+
+    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")
+
+    def chat_fn(message, history):
+        return respond(
+            message,
+            history,
+            system_message.value,
+            max_tokens.value,
+            temperature.value,
+            top_p.value,
+            use_local_model.value,
+        )
+
+    user_input.submit(chat_fn, [user_input, chat_history], chat_history)
+    cancel_button.click(cancel_inference)
+
+if __name__ == "__main__":
+    demo.launch(share=True)