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README.md

@@ -1,12 +1,9 @@
----
-title: Phi2
-emoji: 💻
-colorFrom: green
-colorTo: blue
-sdk: gradio
-sdk_version: 4.12.0
-app_file: app.py
-pinned: false
----
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Fine tuning phi-2 large language model using QLORA.
+Key Features:
+phi-2 model. https://huggingface.co/microsoft/phi-2
+4-bit quantization using QLORA.
+Number of steps 1000.
+Trained on open assistant dataset. https://huggingface.co/datasets/OpenAssistant/oasst1
+Loss on training dataset 1.52.
+Hugging Face Spaces app:

app.py

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+import torch
+from transformers import pipeline, logging, AutoModelForCausalLM, AutoTokenizer
+import gradio as gr
+
+## 1 - Loading Model
+## 1 - Loading Model
+model = AutoModelForCausalLM.from_pretrained(
+    "microsoft/phi-2",
+    torch_dtype=torch.float32,
+    device_map="auto",
+    trust_remote_code=True
+)
+model.load_adapter('checkpoint-960')
+
+## 2 - Loading Tokenizer
+tokenizer = AutoTokenizer.from_pretrained('checkpoint-960', trust_remote_code=True)
+tokenizer.pad_token = tokenizer.eos_token
+def generate_dialogue(input_text):
+
+  pipe = pipeline(task="text-generation",model=model,tokenizer=tokenizer,max_length=100)
+  result = pipe(f"<s>[INST] {input_text} [/INST]")
+  return result[0]['generated_text']
+    
+HTML_TEMPLATE = """
+  <style>
+    
+    #app-header {
+        text-align: center;
+        background: rgba(255, 255, 255, 0.3); /* Semi-transparent white */
+        padding: 20px;
+        border-radius: 10px;
+        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+        position: relative; /* To position the artifacts */
+    }
+    #app-header h1 {
+        color: #FF0000;
+        font-size: 2em;
+        margin-bottom: 10px;
+    }
+    .concept {
+        position: relative;
+        transition: transform 0.3s;
+    }
+    .concept:hover {
+        transform: scale(1.1);
+    }
+    .concept img {
+        width: 100px;
+        border-radius: 10px;
+        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+    }
+    .concept-description {
+        position: absolute;
+        bottom: -30px;
+        left: 50%;
+        transform: translateX(-50%);
+        background-color: #4CAF50;
+        color: white;
+        padding: 5px 10px;
+        border-radius: 5px;
+        opacity: 0;
+        transition: opacity 0.3s;
+    }
+    .concept:hover .concept-description {
+        opacity: 1;
+    }
+    /* Artifacts */
+    
+</style>
+<div id="app-header">
+    <!-- Artifacts -->
+    <div class="artifact large"></div>
+    <div class="artifact large"></div>
+    <div class="artifact large"></div>
+    <div class="artifact large"></div>
+    <!-- Content -->
+    <h1>CHAT with fine tuned Phi-2 LLM</h1>
+    <p>Generate dialogue for given some initial prompt for context.</p>
+    <p>Model: Phi-2 (https://huggingface.co/microsoft/phi-2),  Dataset: oasst1 (https://huggingface.co/datasets/OpenAssistant/oasst1) </p>
+"""
+
+with gr.Blocks(theme=gr.themes.Glass(),css=".gradio-container {background: url('https://github.com/Manjunath-Yelipeta/S27_Era/blob/main/bg.jpg?raw=true')}") as interface:
+    gr.HTML(value=HTML_TEMPLATE, show_label=False)
+
+    gr.Markdown("")
+    gr.Markdown("")
+    gr.Markdown("")
+
+    gr.Markdown("")
+    gr.Markdown("")
+    gr.Markdown("")
+    gr.Markdown("")
+
+    gr.Markdown("")
+    gr.Markdown("")
+    gr.Markdown("")
+    gr.Markdown("")
+    
+    with gr.Row():
+
+        input_text = gr.Textbox(
+            label="Input Text", 
+            value="Enter your prompt here: This text will set the context for the AI's response."
+        )
+
+        outputs = gr.Textbox(
+            label="Answer"
+        )
+        inputs = [input_text]
+   
+    with gr.Column():
+        button = gr.Button("Ask me")
+        button.click(generate_dialogue, inputs=inputs, outputs=outputs)
+
+interface.launch()

requirements.txt

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+torch
+transformers 
+einops 
+git+https://github.com/huggingface/peft.git 
+accelerate 
+gradio