Create app.py

app.py

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+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig, pipeline, TextIteratorStreamer
+import gradio as gr
+from torch import bfloat16
+from threading import Thread
+
+MODEL_NAME = "HuggingFaceH4/zephyr-7b-beta"
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_NAME, device_map="auto", torch_dtype=torch.float16, load_in_4bit=True
+)
+
+# Chat Interface
+system_prompt = "You are a helpful assistant who helps user to complete its query. If you don't know the answer be honet don't provide false information."
+
+def prompt_build(system_prompt, user_inp, hist):
+    prompt = f"""<|system|>\n{system_prompt}\n"""
+
+    for pair in hist:
+        prompt += f"""<|user|>\n{pair[0]}\n<|assistant|>\n{pair[1]}"""
+
+    prompt += f"""<|user|>\n{user_inp}\n<|assistant|>\n"""
+    return prompt
+
+def chat(user_input, history):
+    if not user_input:
+        yield "Please write your query so that I can assist you even better."
+        return
+
+    prompt = prompt_build(system_prompt, user_input, history)
+    model_inputs = tokenizer([prompt], return_tensors="pt").to("cuda")
+
+    streamer = TextIteratorStreamer(tokenizer, timeout=10., skip_prompt=True, skip_special_tokens=True)
+
+    generate_kwargs = dict(
+        model_inputs,
+        streamer=streamer,
+        max_new_tokens=2000,
+        do_sample=True,
+        top_p=0.7,
+        temperature=0.8
+    )
+    t = Thread(target=model.generate, kwargs=generate_kwargs)
+    t.start()
+
+    model_output = ""
+    for new_text in streamer:
+        model_output += new_text
+        yield model_output
+    return model_output
+
+
+with gr.Blocks() as demo:
+    chatbot = gr.ChatInterface(fn=chat,examples=[["Hello, Good Morning!"],["Who is Virat Kohli?"],["Write an email to Client call Darshan Kholakiya whose email address is [email protected] and address is Alaknanda Building, Rawalapada, Borivali East, Mumbai-400008. My name is Vijay and I am a sales person from Nividia, my phone number is 7710020978 and email is [email protected] and I want to pitch Darshan to buy semi conductor chips from us."]],
+        title="Marketing Email Generator")
+
+demo.queue().launch(share=True,debug=True)
+