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Update app.py
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app.py
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@@ -1,10 +1,9 @@
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import gradio as gr
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from sentence_transformers import SentenceTransformer
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import torch
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# ----------------------------- Load Models on Demand -----------------------------
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_loaded_models = {}
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def load_model(model_name):
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if model_name not in _loaded_models:
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_loaded_models[model_name] = SentenceTransformer(model_name)
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@@ -30,7 +29,7 @@ def find_similar_documents(query, documents, model_name):
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sorted_indices = torch.argsort(similarities, descending=True)
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results = []
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for i, idx in enumerate(sorted_indices):
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score = similarities[
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doc = doc_list[idx]
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results.append(f"{i+1}. Score: {score:.4f}\n Document: {doc}")
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with gr.Tabs():
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# ---------------- Single Model Tab ----------------
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with gr.Tab("🔹 Single Model Search"):
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with gr.Row():
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with gr.Column(scale=1):
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model_selector = gr.Dropdown(
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@@ -77,10 +77,31 @@ with gr.Blocks(
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search_btn.click(find_similar_documents, [query_input, docs_input, model_selector], result_box)
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query_input.submit(find_similar_documents, [query_input, docs_input, model_selector], result_box)
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# ---------------- Comparison Tab ----------------
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with gr.Tab("⚖️ Model Comparison"):
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with gr.Row():
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with gr.Column(scale=1):
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tarka_selector = gr.Dropdown(
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label="Tarka Model",
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@@ -115,7 +136,27 @@ with gr.Blocks(
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with gr.Column():
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open_label = gr.Markdown(visible=False)
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open_output = gr.Markdown(visible=False)
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def run_comparison(query, docs, tarka_model, open_model):
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tarka_res, open_res = compare_models(query, docs, tarka_model, open_model)
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return (
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@@ -139,28 +180,9 @@ with gr.Blocks(
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)
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# ---------------- Example Section ----------------
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[
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"Which planet is known as the Red Planet?",
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"Venus is often called Earth's twin because of its similar size.\nMars, known for its reddish hue, is called the Red Planet.\nJupiter, the largest planet, has a red spot.\nSaturn has iconic rings."
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],
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[
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"What causes seasons on Earth?",
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"The tilt of Earth's axis causes different sunlight distribution.\nThe moon affects tides but not seasons.\nEarth's orbit has minimal effect on seasons.\nRotation causes day and night."
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],
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[
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"What gas do plants release during photosynthesis?",
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"Plants use sunlight to convert CO₂ into glucose and release oxygen.\nAnimals inhale oxygen and exhale CO₂.\nPhotosynthesis occurs mainly in leaves."
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]
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]
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gr.Examples(
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examples=examples,
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inputs=[query_input, docs_input],
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label="Try Example"
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)
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# Launch the app
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demo.launch()
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import gradio as gr
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from sentence_transformers import SentenceTransformer
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import torch
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# ----------------------------- Load Models on Demand -----------------------------
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_loaded_models = {}
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tab_state = "single"
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def load_model(model_name):
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if model_name not in _loaded_models:
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_loaded_models[model_name] = SentenceTransformer(model_name)
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sorted_indices = torch.argsort(similarities, descending=True)
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results = []
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for i, idx in enumerate(sorted_indices):
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score = similarities[idx].item()
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doc = doc_list[idx]
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results.append(f"{i+1}. Score: {score:.4f}\n Document: {doc}")
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with gr.Tabs():
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# ---------------- Single Model Tab ----------------
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with gr.Tab("🔹 Single Model Search"):
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tab_state="single"
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with gr.Row():
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with gr.Column(scale=1):
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model_selector = gr.Dropdown(
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search_btn.click(find_similar_documents, [query_input, docs_input, model_selector], result_box)
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query_input.submit(find_similar_documents, [query_input, docs_input, model_selector], result_box)
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examples = [
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[
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"Which planet is known as the Red Planet?",
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"Venus is often called Earth's twin because of its similar size.\nMars, known for its reddish hue, is called the Red Planet.\nJupiter, the largest planet, has a red spot.\nSaturn has iconic rings."
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],
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[
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"What causes seasons on Earth?",
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"The tilt of Earth's axis causes different sunlight distribution.\nThe moon affects tides but not seasons.\nEarth's orbit has minimal effect on seasons.\nRotation causes day and night."
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],
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[
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"What gas do plants release during photosynthesis?",
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"Plants use sunlight to convert CO₂ into glucose and release oxygen.\nAnimals inhale oxygen and exhale CO₂.\nPhotosynthesis occurs mainly in leaves."
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]
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]
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gr.Examples(
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examples=examples,
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inputs=[query_input, docs_input],
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label="Try Examples"
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)
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# ---------------- Comparison Tab ----------------
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with gr.Tab("⚖️ Model Comparison"):
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with gr.Row():
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tab_state="comparsion"
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with gr.Column(scale=1):
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tarka_selector = gr.Dropdown(
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label="Tarka Model",
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with gr.Column():
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open_label = gr.Markdown(visible=False)
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open_output = gr.Markdown(visible=False)
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examples = [
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[
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"Which planet is known as the Red Planet?",
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"Venus is often called Earth's twin because of its similar size.\nMars, known for its reddish hue, is called the Red Planet.\nJupiter, the largest planet, has a red spot.\nSaturn has iconic rings."
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],
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[
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"What causes seasons on Earth?",
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"The tilt of Earth's axis causes different sunlight distribution.\nThe moon affects tides but not seasons.\nEarth's orbit has minimal effect on seasons.\nRotation causes day and night."
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],
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[
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"What gas do plants release during photosynthesis?",
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"Plants use sunlight to convert CO₂ into glucose and release oxygen.\nAnimals inhale oxygen and exhale CO₂.\nPhotosynthesis occurs mainly in leaves."
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]
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]
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gr.Examples(
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examples=examples,
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inputs=[cmp_query, cmp_docs],
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label="Try Examples"
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)
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def run_comparison(query, docs, tarka_model, open_model):
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tarka_res, open_res = compare_models(query, docs, tarka_model, open_model)
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return (
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)
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# ---------------- Example Section ----------------
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# Launch the app
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demo.launch()
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