|
| 1 | +import os |
| 2 | + |
| 3 | +import dspy |
| 4 | +from dotenv import load_dotenv |
| 5 | + |
| 6 | +from parea import Parea |
| 7 | + |
| 8 | +load_dotenv() |
| 9 | + |
| 10 | +p = Parea(api_key=os.getenv("PAREA_API_KEY"), project_name="testing") |
| 11 | +p.trace_dspy() |
| 12 | + |
| 13 | +gpt3_turbo = dspy.OpenAI(model="gpt-3.5-turbo-1106", max_tokens=300) |
| 14 | +dspy.configure(lm=gpt3_turbo) |
| 15 | +# print(gpt3_turbo("hello! this is a raw prompt to GPT-3.5.")) |
| 16 | + |
| 17 | +# Define a retrieval model server to send retrieval requests to |
| 18 | +colbertv2_wiki17_abstracts = dspy.ColBERTv2(url="http://20.102.90.50:2017/wiki17_abstracts") |
| 19 | + |
| 20 | +# Configure retrieval server internally |
| 21 | +dspy.settings.configure(rm=colbertv2_wiki17_abstracts) |
| 22 | + |
| 23 | + |
| 24 | +#Define a simple signature for basic question answering |
| 25 | +class BasicQA(dspy.Signature): |
| 26 | + """Answer questions with short factoid answers.""" |
| 27 | + question = dspy.InputField() |
| 28 | + answer = dspy.OutputField(desc="often between 1 and 5 words") |
| 29 | + |
| 30 | +# Pass signature to Predict module |
| 31 | +generate_answer = dspy.Predict(BasicQA) |
| 32 | + |
| 33 | +# Call the predictor on a particular input. |
| 34 | +question='What is the color of the sky?' |
| 35 | +pred = generate_answer(question=question) |
| 36 | + |
| 37 | +print(f"Question: {question}") |
| 38 | +print(f"Predicted Answer: {pred.answer}") |
| 39 | +question = "What's something great about the ColBERT retrieval model ?!?abc" |
| 40 | + |
| 41 | +# 1) Declare with a signature, and pass some config. |
| 42 | +classify = dspy.ChainOfThought('question -> answer', n=1) |
| 43 | + |
| 44 | +# 2) Call with input argument. |
| 45 | +response = classify(question=question) |
| 46 | + |
| 47 | +# 3) Access the outputs. |
| 48 | +print(response.completions.answer) |
| 49 | + |
| 50 | + |
| 51 | +# Define a simple signature for basic question answering |
| 52 | +class BasicQA(dspy.Signature): |
| 53 | + """Answer questions with short factoid answers.""" |
| 54 | + question = dspy.InputField() |
| 55 | + answer = dspy.OutputField(desc="often between 1 and 5 words") |
| 56 | + |
| 57 | +#Pass signature to ChainOfThought module |
| 58 | +generate_answer = dspy.ChainOfThought(BasicQA) |
| 59 | + |
| 60 | +# Call the predictor on a particular input. |
| 61 | +question='What is the color of the sky?12' |
| 62 | +pred = generate_answer(question=question) |
| 63 | + |
| 64 | +print(f"Question: {question}") |
| 65 | +print(f"Predicted Answer: {pred.answer}") |
| 66 | + |
| 67 | + |
| 68 | +class BasicQA(dspy.Signature): |
| 69 | + """Answer questions with short factoid answers.""" |
| 70 | + question = dspy.InputField() |
| 71 | + answer = dspy.OutputField(desc="often between 1 and 5 words") |
| 72 | + |
| 73 | +# Example completions generated by a model for reference |
| 74 | +completions = [ |
| 75 | + dspy.Prediction(rationale=" I recall that during clear days, the sky often appears this colo12r", answer="blue"), |
| 76 | + dspy.Prediction(rationale=" Based on common knowledge, I believe the sky is typically seen 12as this color", answer="green"), |
| 77 | + dspy.Prediction(rationale=" From images and depictions in media, the sky is frequently42 represented with this hue", answer="blue"), |
| 78 | +] |
| 79 | + |
| 80 | +# Pass signature to MultiChainComparison module |
| 81 | +compare_answers = dspy.MultiChainComparison(BasicQA) |
| 82 | + |
| 83 | +# Call the MultiChainComparison on the completions |
| 84 | +question = ' What is the color of th e sky14?' |
| 85 | +final_pred = compare_answers(completions, question=question) |
| 86 | + |
| 87 | +print(f"Question: {question}") |
| 88 | +print(f"Final Predicted Answer (after comparison): {final_pred.answer}") |
| 89 | +print(f"Final Rationale: {final_pred.rationale}") |
| 90 | + |
| 91 | + |
| 92 | +#Define a simple signature for basic question answering |
| 93 | +class GenerateAnswer(dspy.Signature): |
| 94 | + """Answer questions with short factoid answers.""" |
| 95 | + question = dspy.InputField() |
| 96 | + answer = dspy.OutputField(desc="often between 1 and 5 words") |
| 97 | + |
| 98 | +# Pass signature to ProgramOfThought Module |
| 99 | +pot = dspy.ProgramOfThought(GenerateAnswer) |
| 100 | + |
| 101 | +#Call the ProgramOfThought module on a particular input |
| 102 | +question = 'Sarah has 5 applez. She buys 123 more apples from the store. How many apples does Sarah have now?' |
| 103 | +result = pot(question=question) |
| 104 | + |
| 105 | +print(f"Question: {question}") |
| 106 | +print(f"Final Predicted Answer (after ProgramOfThought process): {result.answer}") |
| 107 | + |
| 108 | + |
| 109 | +# Define a simple signature for basic question answering |
| 110 | +class BasicQA(dspy.Signature): |
| 111 | + """Answer questions with short factoid answers.""" |
| 112 | + |
| 113 | + question = dspy.InputField() |
| 114 | + answer = dspy.OutputField(desc="often between 1 and 5 words") |
| 115 | + |
| 116 | + |
| 117 | +# Pass signature to ReAct module |
| 118 | +react_module = dspy.ReAct(BasicQA, tools=[]) |
| 119 | + |
| 120 | +# Call the ReAct module on a particular input |
| 121 | +question = "What is the color of the 2 skies?" |
| 122 | +result = react_module(question=question) |
| 123 | + |
| 124 | +print(f"Question: {question}") |
| 125 | +print(f"Final Predicted Answer (after ReAct process): {result.answer}") |
| 126 | + |
| 127 | + |
| 128 | +query='Where was the first FIFA World Cup held?12' |
| 129 | + |
| 130 | + |
| 131 | +# Call the retriever on a particular query. |
| 132 | +retrieve = dspy.Retrieve(k=3) |
| 133 | +topK_passages = retrieve(query).passages |
| 134 | + |
| 135 | +print(f"Top {retrieve.k} passages for question: {query} \n", '-' * 30, '\n') |
| 136 | + |
| 137 | +for idx, passage in enumerate(topK_passages): |
| 138 | + print(f'{idx+1}]', passage, '\n') |
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