Update app.py

app.py

@@ -1,19 +1,49 @@
 import gradio as gr
-from transformers import pipeline
+from huggingface_hub import InferenceClient
 
-# Load the DeepSeek model
-# pipe = pipeline("text-generation", model="deepseek-ai/deepseek-llm-7b", trust_remote_code=True)
+# Using Zephyr-7B Beta
+MODEL_NAME = "HuggingFaceH4/zephyr-7b-beta"
+client = InferenceClient(MODEL_NAME)
 
-pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True)
 
-# Function to interact with the chatbot
-def chat_with_bot(message, chat_history):
-    messages = [{"role": "user", "content": message}]
-    response = pipe(messages, max_length=512)
-    return response[0]["generated_text"]
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    messages = [{"role": "system", "content": system_message}]
 
-# Create Gradio UI
-interface = gr.ChatInterface(fn=chat_with_bot, title="DeepSeek AI Chatbot")
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
 
-# Launch the chatbot
-interface.launch()
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+
+    try:
+        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 if message.choices[0].delta else ""
+            response += token
+            yield response
+    except Exception as e:
+        yield f"Error: {str(e)}"
+
+
+# Gradio UI with adjustable settings
+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 Tokens"),
+        gr.Slider(minimum=0.1, maximum=2.0, 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"),
+    ],
+)
+
+if __name__ == "__main__":
+    demo.launch()