Create app.py

app.py

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+import gradio as gr
+
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer, pipeline
+from threading import Thread
+
+# The huggingface model id for phi-1_5 instruct model
+checkpoint = "rasyosef/Phi-1_5-Instruct-v0.1"
+
+# Download and load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model = AutoModelForCausalLM.from_pretrained(checkpoint, torch_dtype=torch.float32, device_map="auto")
+
+# Text generation pipeline
+phi1_5 = pipeline(
+    "text-generation",
+    tokenizer=tokenizer,
+    model=model,
+    pad_token_id=tokenizer.eos_token_id,
+    eos_token_id=[tokenizer.eos_token_id],
+    device_map="cpu"
+)
+
+# Function that accepts a prompt and generates text using the phi2 pipeline
+def generate(message, chat_history, max_new_tokens):
+
+  history = [
+      {"role": "system", "content": "You are Phi, a helpful AI assistant made by Microsoft and RasYosef. User will you give you a task. Your goal is to complete the task as faithfully as you can."}
+  ]
+
+  for sent, received in chat_history:
+    history.append({"role": "user", "content": sent})
+    history.append({"role": "assistant", "content": received})
+
+  history.append({"role": "user", "content": message})
+  #print(history)
+
+  if len(tokenizer.apply_chat_template(history)) > 512:
+    yield "chat history is too long"
+  else:
+    # Streamer
+    streamer = TextIteratorStreamer(tokenizer=tokenizer, skip_prompt=True, skip_special_tokens=True, timeout=300.0)
+    thread = Thread(target=phi1_5, kwargs={"text_inputs":history, "max_new_tokens":max_new_tokens, "streamer":streamer})
+    thread.start()
+
+    generated_text = ""
+    for word in streamer:
+      generated_text += word
+      response = generated_text.strip()
+
+      yield response
+
+# Chat interface with gradio
+with gr.Blocks() as demo:
+  gr.Markdown("""
+  # Phi-1_5 Chatbot Demo
+  This chatbot was created using a finetuned version of Microsoft's 1.4 billion parameter Phi 1.5 transformer model, [Phi-1_5-Instruct-v0.1](https://huggingface.co/rasyosef/Phi-1_5-Instruct-v0.1).
+  """)
+
+  tokens_slider = gr.Slider(8, 256, value=64, label="Maximum new tokens", info="A larger `max_new_tokens` parameter value gives you longer text responses but at the cost of a slower response time.")
+
+  chatbot = gr.ChatInterface(
+    chatbot=gr.Chatbot(height=400),
+    fn=generate,
+    additional_inputs=[tokens_slider],
+    stop_btn=None,
+    examples=[
+        ["Translate the word 'cat' to German."],
+        ["Recommend me three animated movies."],
+        ["Solve this quadratic equation.\n\nx^2 + 3x + 2 = 0\nwhat is the value of x?"],
+        ["Implement Euclid's GCD Algorithm in python"],
+        ["Molly and Abigail want to attend a beauty and modeling contest. They both want to buy new pairs of shoes and dresses. Molly buys a pair of shoes which costs $40 and a dress which costs $160. How much should Abigail budget if she wants to spend half of what Molly spent on the pair of shoes and dress?"],
+      ]
+  )
+
+demo.queue().launch(debug=True)