Delete app.py

app.py

@@ -1,64 +0,0 @@
-import gradio as gr
-import torch
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, GenerationConfig
-import re
-import time
-
-
-tokenizer = AutoTokenizer.from_pretrained("GIGAParviz/T5_fa_law_chatbot")
-model = AutoModelForSeq2SeqLM.from_pretrained("GIGAParviz/T5_fa_law_chatbot")
-
-
-
-
-def clear_text(text):
-    if isinstance(text, str):
-        text = re.sub("[^آ-ی۰-۹]+", " ", text)
-    else:
-        text = str(text)
-    return text
-
-
-def generate_response(message, chat_history):
-
-
-    question = clear_text(message)
-    start = "Answer The Question in farsi: "
-    end = "Answer: "
-    prompt = [start + question + end]
-
-    generation_config = GenerationConfig(
-        max_new_tokens=128,
-        do_sample=True,
-        top_k=50,
-        top_p=0.95,
-        temperature=0.8,
-        repetition_penalty=1.2
-    )
-
-    tokenized_test_text = tokenizer(prompt, return_tensors='pt').input_ids.to("cpu")
-    model.to("cpu")
-    
-
-    outputs = model.generate(tokenized_test_text, generation_config=generation_config, max_new_tokens=128)
-    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-    for i in range(0, len(result), 10):
-        yield chat_history + [(message, result[:i + 10])]
-        time.sleep(0.1)
-
-    yield chat_history + [(message, result)]
-
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("<h1 style='text-align: center;'>💬 Parviz Chatbot</h1><p style='text-align: center; color: #e0e0e0;'>زنده باد</p>")
-    
-    chatbot = gr.Chatbot(label="جواب")
-    msg = gr.Textbox(label="ورودی", placeholder="اینجا یه چی بپرس... ", lines=1)
-    
-    msg.submit(generate_response, [msg, chatbot], chatbot)
-    
-    clear = gr.ClearButton([msg, chatbot])
-
-demo.launch()