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Create app.py
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app.py
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import gradio as gr
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import random
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from huggingface_hub import InferenceClient
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from sentence_transformers import SentenceTransformer
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import torch
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with open("knowledge.txt", "r", encoding="utf-8") as file:
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recent = file.read()
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cleaned_text = recent.strip()
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chunks = cleaned_text.split("\n")
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cleaned_chunks = []
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for chunk in chunks:
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stripped_chunk = chunk.strip()
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if stripped_chunk:
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cleaned_chunks.append(stripped_chunk)
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model = SentenceTransformer('all-MiniLM-L6-v2')
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chunk_embeddings = model.encode(cleaned_chunks, convert_to_tensor=True)
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def get_top_chunks(query):
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query_embedding = model.encode(query, convert_to_tensor=True)
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query_embedding_normalized = query_embedding / query_embedding.norm()
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chunk_embeddings_normalized = chunk_embeddings / chunk_embeddings.norm(dim=1, keepdim=True)
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similarities = torch.matmul(chunk_embeddings_normalized, query_embedding_normalized)
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top_indices = torch.topk(similarities, k=3).indices
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top_chunks = []
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for i in top_indices:
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chunk = chunks[i]
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top_chunks.append(chunk)
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return top_chunks
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client = InferenceClient('HuggingFaceH4/zephyr-7b-beta')
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def respond(message,history):
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gift_ideas = get_top_chunks(message)
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messages = [{'role': 'system', 'content': f'You give really good gift ideas and are super helpful! You also tell me the price of each item. Give me 5 gift ideas if I ask. Use the following database for gift ideas: {gift_ideas}'}]
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if history:
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = client.chat_completion(
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messages,
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max_tokens = 500,
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)
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return response['choices'][0]['message']['content'].strip()
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with gr.Blocks(theme='hmb/amethyst') as demo:
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gr.Image(value="wrap_it_top_image.png", show_label=False, elem_id="top-image")
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gr.Markdown("## 🎁 Introducing WrapIT!")
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gr.Markdown("**WrapIT** helps users find personalized gift ideas and craft thoughtful card messages by inputting details like the recipient's interests, celebration type, and budget ✨ *All you have to do is wrap it.*")
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gr.ChatInterface(
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fn=respond,
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examples=["Best birthday gift?", "Romantic anniversary idea?", "Budget-friendly gifts?"]
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)
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with gr.Row():
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gr.HTML(
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"""
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<iframe style="border-radius:12px"
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src="https://open.spotify.com/embed/track/4356Typ82hUiFAynbLYbPn"
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width="100%"
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height="152"
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frameBorder="0"
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allowfullscreen=""
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allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture"
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loading="lazy">
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</iframe>
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"""
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)
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demo.launch(debug=True, share=True)
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