Update app.py

app.py

@@ -1,20 +1,47 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import gradio as gr
 import torch
-from transformers import pipeline
 
-# Load the model and tokenizer
-model = pipeline('question-answering', model='EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K', tokenizer='EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K')
 
-def chatbot(input_text):
-    response = model(input_text)
-    return response[0]['generated_text']
+title = "AI Agemt ChatBot"
+description = "A State-of-the-Art Agent Chatbot"
+examples = [["How are you?"]]
 
-# Create a Gradio interface
-demo = gr.Interface(
-    fn=chatbot,
-    inputs=gr.Textbox(label="User Input"),
-    outputs=gr.Textbox(label="Chatbot Response"),
-    title="Chatbot Demo"
-)
 
-# Launch the Gradio app
-demo.launch()
+tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K")
+model = AutoModelForCausalLM.from_pretrained("EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K")
+
+
+def predict(input, history=[]):
+    # tokenize the new input sentence
+    new_user_input_ids = tokenizer.encode(
+        input + tokenizer.eos_token, return_tensors="pt"
+    )
+
+    # append the new user input tokens to the chat history
+    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)
+
+    # generate a response
+    history = model.generate(
+        bot_input_ids, max_length=4000, pad_token_id=tokenizer.eos_token_id
+    ).tolist()
+
+    # convert the tokens to text, and then split the responses into lines
+    response = tokenizer.decode(history[0]).split("<|endoftext|>")
+    # print('decoded_response-->>'+str(response))
+    response = [
+        (response[i], response[i + 1]) for i in range(0, len(response) - 1, 2)
+    ]  # convert to tuples of list
+    # print('response-->>'+str(response))
+    return response, history
+
+
+gr.Interface(
+    fn=predict,
+    title=title,
+    description=description,
+    examples=examples,
+    inputs=["text", "state"],
+    outputs=["chatbot", "state"],
+    theme="finlaymacklon/boxy_violet",
+).launch()