Update app.py

app.py

@@ -1,37 +1,34 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Initialize the InferenceClient with your custom model hosted on Hugging Face.
+# Initialize the InferenceClient with your model from Hugging Face
 client = InferenceClient(model="pro-grammer/MindfulAI")
 
 def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
-    # Build conversation context
-    messages = [{"role": "system", "content": system_message}]
+    # Build a prompt string manually
+    prompt = system_message + "\n"
     for user_msg, assistant_msg in history:
-        if user_msg:
-            messages.append({"role": "user", "content": user_msg})
-        if assistant_msg:
-            messages.append({"role": "assistant", "content": assistant_msg})
-    messages.append({"role": "user", "content": message})
-
+        prompt += f"Human: {user_msg}\nAssistant: {assistant_msg}\n"
+    prompt += f"Human: {message}\nAssistant:"
+    
     response = ""
-    # Use the chat_completion method to stream the model's response
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
+    # Use text_generation instead of chat_completion
+    for token in client.text_generation(
+        prompt,
+        max_new_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-        response += token
+        # Depending on the API response structure, extract the generated text
+        token_text = token.get("generated_text", "")
+        response += token_text
         yield response
 
-# Customize the ChatInterface with additional input controls
 demo = gr.ChatInterface(
     fn=respond,
     title="MindfulAI Chat",
-    description="Chat with MindfulAI – your hosted AI Therapist.",
+    description="Chat with MindfulAI – your AI Therapist powered by your model.",
     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"),
@@ -42,3 +39,4 @@ demo = gr.ChatInterface(
 
 if __name__ == "__main__":
     demo.launch()
+