Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -2,15 +2,27 @@ import gradio as gr
|
|
| 2 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 3 |
import torch
|
| 4 |
|
|
|
|
| 5 |
model_name = "microsoft/DialoGPT-medium"
|
| 6 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 7 |
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 8 |
|
| 9 |
chat_history_ids = None
|
| 10 |
|
| 11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
global chat_history_ids
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
| 14 |
bot_input_ids = torch.cat([chat_history_ids, new_input_ids], dim=-1) if chat_history_ids is not None else new_input_ids
|
| 15 |
|
| 16 |
chat_history_ids = model.generate(
|
|
@@ -18,18 +30,24 @@ def chatbot(input_text):
|
|
| 18 |
max_length=1000,
|
| 19 |
pad_token_id=tokenizer.eos_token_id,
|
| 20 |
do_sample=True,
|
| 21 |
-
temperature=0.7
|
|
|
|
| 22 |
)
|
| 23 |
|
| 24 |
output = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
|
| 25 |
return output
|
| 26 |
|
|
|
|
| 27 |
iface = gr.Interface(
|
| 28 |
fn=chatbot,
|
| 29 |
-
inputs=
|
|
|
|
|
|
|
|
|
|
| 30 |
outputs="text",
|
| 31 |
-
title="
|
| 32 |
-
description="
|
| 33 |
)
|
| 34 |
|
| 35 |
iface.launch(share=True)
|
|
|
|
|
|
| 2 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 3 |
import torch
|
| 4 |
|
| 5 |
+
# Load model and tokenizer
|
| 6 |
model_name = "microsoft/DialoGPT-medium"
|
| 7 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 8 |
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 9 |
|
| 10 |
chat_history_ids = None
|
| 11 |
|
| 12 |
+
# Generic personas
|
| 13 |
+
persona_prompts = {
|
| 14 |
+
"Friendly": "You are a kind, friendly chatbot who is always positive and cheerful.",
|
| 15 |
+
"Professional": "You are a professional assistant who answers clearly and respectfully.",
|
| 16 |
+
"Sarcastic": "You are a sarcastic AI who responds with wit and dry humor.",
|
| 17 |
+
"Motivational Coach": "You are a motivational coach who always encourages and inspires.",
|
| 18 |
+
}
|
| 19 |
+
|
| 20 |
+
def chatbot(persona, input_text):
|
| 21 |
global chat_history_ids
|
| 22 |
+
persona_instruction = persona_prompts.get(persona, "")
|
| 23 |
+
full_input = f"{persona_instruction}\nUser: {input_text}"
|
| 24 |
+
|
| 25 |
+
new_input_ids = tokenizer.encode(full_input + tokenizer.eos_token, return_tensors='pt')
|
| 26 |
bot_input_ids = torch.cat([chat_history_ids, new_input_ids], dim=-1) if chat_history_ids is not None else new_input_ids
|
| 27 |
|
| 28 |
chat_history_ids = model.generate(
|
|
|
|
| 30 |
max_length=1000,
|
| 31 |
pad_token_id=tokenizer.eos_token_id,
|
| 32 |
do_sample=True,
|
| 33 |
+
temperature=0.7,
|
| 34 |
+
top_p=0.9
|
| 35 |
)
|
| 36 |
|
| 37 |
output = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
|
| 38 |
return output
|
| 39 |
|
| 40 |
+
# Gradio UI
|
| 41 |
iface = gr.Interface(
|
| 42 |
fn=chatbot,
|
| 43 |
+
inputs=[
|
| 44 |
+
gr.Dropdown(choices=list(persona_prompts.keys()), label="Choose a Persona"),
|
| 45 |
+
gr.Textbox(lines=2, placeholder="Say something...")
|
| 46 |
+
],
|
| 47 |
outputs="text",
|
| 48 |
+
title="Persona Bot (DialoGPT)",
|
| 49 |
+
description="Choose a simple chatbot persona: Friendly, Professional, Sarcastic, or Motivational Coach."
|
| 50 |
)
|
| 51 |
|
| 52 |
iface.launch(share=True)
|
| 53 |
+
|