Delete app.py

app.py

@@ -1,176 +0,0 @@
-
-# import gradio as gr
-# from groq import Groq
-
-# client = Groq(
-#     api_key=("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"),
-# )
-
-# def generate_response(input_text):
-#     chat_completion = client.chat.completions.create(
-#         messages=[
-#             {
-#                 "role": "user",
-#                 "content": input_text,
-#             }
-#         ],
-#         model="llama3-8b-8192",
-#     )
-#     return chat_completion.choices[0].message.content
-
-# custom_css = """
-# body {
-#     background-color: #f5f5f5;
-#     font-family: 'Arial', sans-serif;
-#     color: #333;
-# }
-
-# .gradio-container {
-#     border-radius: 12px;
-#     padding: 20px;
-#     background-color: #ffffff;
-#     box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
-# }
-
-# input[type="text"], textarea {
-#     border-radius: 10px;
-#     border: 1px solid #ddd;
-#     padding: 12px;
-#     width: 100%;
-#     font-size: 14px;
-#     color: #333;
-#     background-color: #f9f9f9;
-# }
-
-# button {
-#     background-color: #007bff;
-#     color: white;
-#     border: none;
-#     padding: 12px 24px;
-#     border-radius: 10px;
-#     cursor: pointer;
-#     font-size: 14px;
-#     font-weight: bold;
-# }
-
-# button:hover {
-#     background-color: #0056b3;
-# }
-
-# h1 {
-#     font-weight: 600;
-#     color: #333;
-# }
-
-# textarea {
-#     resize: none;
-# }
-# """
-
-# iface = gr.Interface(
-#     fn=generate_response,
-#     inputs=gr.Textbox(label="ورودی" , lines=2, placeholder="اینجا یه چی بپرس... "),
-#     outputs=gr.Textbox(label="جواب"),
-#     title="💬 Parviz Chatbot",
-#     description="زنده باد",
-#     theme="dark",
-#     allow_flagging="never"
-
-# )
-# iface.launch()
-
-# import gradio as gr
-# from groq import Groq
-# import time
-
-# client = Groq(api_key="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")
-
-# def generate_response(message, chat_history):
-#     chat_completion = client.chat.completions.create(
-#         messages=[{"role": "user", "content": message}],
-#         model="llama3-8b-8192",
-#     )
-#     bot_message = chat_completion.choices[0].message.content
-    
-#     for i in range(0, len(bot_message), 10):
-#         yield chat_history + [(message, bot_message[:i + 10])]
-#         time.sleep(0.1)
-    
-#     yield chat_history + [(message, bot_message)]
-
-
-# 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()
-
-
-
-
-
-
-
-
-import gradio as gr
-import torch
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, GenerationConfig
-import re
-import time
-
-
-tokenizer = AutoTokenizer.from_pretrained("universitytehran/PersianMind-v1.0")
-model = AutoModelForSeq2SeqLM.from_pretrained("universitytehran/PersianMind-v1.0")
-
-
-def generate_response(message, chat_history):
-
-    TEMPLATE = "{context}\nYou: {prompt}\nParvizGPT "
-    CONTEXT = "This is a conversation with ParvizGPT. It is an artificial intelligence model designed by Amir Mahdi Parviz " \
-        "NLP expert to help you with various tasks such as answering questions, " \
-        "providing recommendations, and helping with decision making. You can ask it anything you want and " \
-        "it will do its best to give you accurate and relevant information."
-    
-    prompt = TEMPLATE.format(context=CONTEXT, prompt=message)
-
-    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.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-
-    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 GPT</h1><p style='text-align: center;'>made by A.M.Parviz \</p>")
-    
-    chatbot = gr.Chatbot(label="جواب")
-    msg = gr.Textbox(label="ورودی", placeholder="سوال خودتو رو بپرس", lines=1)
-    
-    msg.submit(generate_response, [msg, chatbot], chatbot)
-    
-    clear = gr.ClearButton([msg, chatbot])
-
-demo.launch()
-