Update app.py

app.py

@@ -1,48 +1,36 @@
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# Load your model and tokenizer from Hugging Face
+# Load model and tokenizer from Hugging Face
 model_name = "iqrabatool/finetuned_LLaMA"
-model = AutoModelForCausalLM.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=True)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    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})
-
-    inputs = tokenizer(message, return_tensors="pt")
-    outputs = model.generate(**inputs, max_length=max_tokens, temperature=temperature, top_p=top_p)
+def respond(message, system_message, max_tokens, temperature, top_p):
+    # Generate response
+    inputs = tokenizer(message, return_tensors="pt", max_length=max_tokens, truncation=True, padding=True)
+    outputs = model.generate(**inputs, temperature=temperature, top_p=top_p)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response
 
-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)",
-        ),
-    ],
+# Define interface components
+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)"),
+]
+
+# Create the ChatInterface
+demo = gr.Interface(
+    fn=respond,
+    inputs=["text", "text", "number", "number", "number"],
+    outputs="text",
+    title="Health Bot",
+    description="A chatbot for health-related inquiries.",
+    article="The Health Bot assists users with health-related questions and provides information based on a pre-trained language model.",
+    examples=[["What are the symptoms of COVID-19?", "Health Bot: COVID-19 symptoms include..."]],
+    additional_inputs=additional_inputs
 )
 
 if __name__ == "__main__":