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Update app.py
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app.py
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@@ -1,5 +1,6 @@
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import gradio as gr
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import pandas as pd
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from transformers import RagTokenizer, RagRetriever, RagTokenForGeneration
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# Load the tokenizer and retriever
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@@ -14,13 +15,14 @@ inputs = tokenizer(contexts, return_tensors='pt', padding=True, truncation=True)
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labels = tokenizer(responses, return_tensors='pt', padding=True, truncation=True)
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# Load your dataset
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df = pd.read_csv('
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# Ensure the dataset has the required columns for RAG
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# For example, it should have 'context' and 'response' columns
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contexts = df['Abstract'].tolist()
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#responses = df['response'].tolist()
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def generate_response(input_text):
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input_ids = tokenizer([input_text], return_tensors='pt')['input_ids']
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outputs = model.generate(input_ids)
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import gradio as gr
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import pandas as pd
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import spaces
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from transformers import RagTokenizer, RagRetriever, RagTokenForGeneration
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# Load the tokenizer and retriever
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labels = tokenizer(responses, return_tensors='pt', padding=True, truncation=True)
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# Load your dataset
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df = pd.read_csv('10kstats.csv')
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# Ensure the dataset has the required columns for RAG
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# For example, it should have 'context' and 'response' columns
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contexts = df['Abstract'].tolist()
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#responses = df['response'].tolist()
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@spaces.GPU
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def generate_response(input_text):
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input_ids = tokenizer([input_text], return_tensors='pt')['input_ids']
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outputs = model.generate(input_ids)
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