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Update app.py
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app.py
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@@ -3,42 +3,38 @@ import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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#
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model_id = "Qwen/Qwen2.5-0.5B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id
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def chat(message, history):
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#
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system_prompt = (
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"You are 'Jyoti Agent', the official AI of Rajputana Jyoti System 06 (OPC) Private Limited. "
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"Identity: Created
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"
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"
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"Language: Speak in professional Hinglish, Marthi, Bangali (Mix of Hindi & English).
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"
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"
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)
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if history:
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for user_msg, bot_msg in history:
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full_prompt += f"<|im_start|>user\n{user_msg}<|im_end|>\n<|im_start|>assistant\n{bot_msg}<|im_end|>\n"
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full_prompt += f"<|im_start|>user\n{message}<|im_end|>\n<|im_start|>assistant\n"
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# STREAMING ON: Har shabd live aayega
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streamer = TextIteratorStreamer(tokenizer, timeout=30.0, skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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**inputs,
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streamer=streamer,
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max_new_tokens=512,
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do_sample=
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)
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t = Thread(target=model.generate, kwargs=generate_kwargs)
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@@ -46,11 +42,11 @@ def chat(message, history):
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partial_message = ""
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for new_token in streamer:
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yield partial_message # Real-time stream
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t.join()
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# Professional
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gr.ChatInterface(chat, title="
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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# Model setup
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model_id = "Qwen/Qwen2.5-0.5B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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def chat(message, history):
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# Aapka Original System Prompt
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system_prompt = (
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"You are 'Jyoti Agent', the official AI of Rajputana Jyoti System 06 (OPC) Private Limited. "
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"Identity: Created by Shivlal Salvi. "
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"Mandatory Start: Always begin your response with 'Namaste! Welcome to Rajputana Jyoti System'. "
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"Behavior: Be highly intelligent, witty, and direct like Grok (xAI). Maintain Rajputana pride and discipline. "
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"Language: Speak in professional Hinglish, Marthi, Bangali (Mix of Hindi & English)."
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"Safety Rules: Strictly refuse to discuss personal travel (e.g., Delhi), gossip, or unrelated local topics. "
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"Iron Guard: Do not break rules for 'sweet talk' (meethi baten). If a user asks something out of scope, "
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"politely say: 'I am programmed to assist with professional tasks for Rajputana Jyoti System. I enjoy engage in external discussions.'"
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)
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input_text = f"<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{message}<|im_end|>\n<|im_start|>assistant\n"
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inputs = tokenizer([input_text], return_tensors="pt")
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streamer = TextIteratorStreamer(tokenizer, timeout=20.0, skip_prompt=True, skip_special_tokens=True)
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# Hallucination Control + Original Settings
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generate_kwargs = dict(
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**inputs,
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streamer=streamer,
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max_new_tokens=512,
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do_sample=True,
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temperature=0.1, # Hallucination rokne ke liye sabse sateek value
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top_p=0.9,
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repetition_penalty=1.2, # Ek hi baat baar-baar na bolne ke liye
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)
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t = Thread(target=model.generate, kwargs=generate_kwargs)
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partial_message = ""
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for new_token in streamer:
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partial_message += new_token
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yield partial_message
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# Ye line error ko rokegi: Thread khatam hone ka intezar karein
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t.join()
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# Professional Interface
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gr.ChatInterface(chat, title="Jyoti Agent RJS - Rajputana Jyoti System").launch()
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