Merge pull request #2707 from Shivansh-Jain-github/gssoc2

True False Automation

Author: 1e9abhi1e10

True False Automation/README.md

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+# Statement Truth Evaluation using OpenAI GPT-3
+
+This repository contains a Python script that uses the OpenAI GPT-3 model to evaluate the truth or falsehood of statements in a given list. The script sends each statement as a prompt to the GPT-3 model and analyzes the model's response to determine whether the statement is considered true or false according to the model's understanding.
+
+## Prerequisites
+
+- Python 3.x
+- Install the `openai` package using the following command:
+
+  ```bash
+  pip install openai
+  ```
+
+## Getting Started
+
+1. Clone this repository to your local machine:
+
+   ```bash
+   git clone https://github.com/your-username/gpt3-statement-evaluation.git
+   ```
+
+2. Navigate to the repository's directory:
+
+   ```bash
+   cd gpt3-statement-evaluation
+   ```
+
+3. Set up your OpenAI API key by replacing `'YOUR_API_KEY'` with your actual OpenAI API key in the `evaluate_statements.py` file.
+
+4. Run the script using your Python interpreter:
+
+   ```bash
+   python evaluate_statements.py
+   ```
+
+## Usage
+
+The `evaluate_statements.py` script in this repository demonstrates how to use the OpenAI GPT-3 model to assess the truth or falsehood of statements. It performs the following steps for each statement:
+
+1. Constructs a prompt using the statement to be evaluated.
+2. Sends the prompt to the GPT-3 model using the OpenAI Python package.
+3. Extracts and prints the model's response, indicating whether the statement is considered true or false.
+
+Please note that the accuracy of the truth evaluation depends on the training data and capabilities of the GPT-3 model. This approach might not always provide accurate results, especially for statements that require specific domain knowledge or factual accuracy. Always verify critical information from reliable sources.
+
+## Example Output
+
+```
+Statement: The sun rises in the west.
+Answer: False
+----------------------------
+Statement: Water boils at 100 degrees Celsius.
+Answer: False
+----------------------------
+Statement: Cats are reptiles.
+Answer: False
+----------------------------
+Statement: The capital of France is Paris.
+Answer: True
+----------------------------
+Statement: Gravity makes things fall downward.
+Answer: True
+----------------------------
+```
+
+## Important Note
+
+Ensure that you handle your API keys securely and follow OpenAI's terms of service and usage guidelines. This example provides a starting point for using the GPT-3 model to evaluate the truth or falsehood of statements.
+
+For more detailed information about the OpenAI API and its capabilities, refer to the [official documentation](https://beta.openai.com/docs/).
+

True False Automation/script.py

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+import openai
+
+# Set your OpenAI API key
+openai.api_key = 'YOUR_API_KEY'
+
+# List of statements to evaluate
+statements = [
+    "The sun rises in the west.",
+    "Water boils at 100 degrees Celsius.",
+    "Cats are reptiles.",
+    "The capital of France is Paris.",
+    "Gravity makes things fall downward.",
+]
+
+# Evaluate each statement using the GPT-3 model
+for statement in statements:
+    prompt = f"Check if the following statement is true or false:\nStatement: {statement}\nAnswer:"
+    
+    response = openai.Completion.create(
+        engine="davinci",  # Use the appropriate engine
+        prompt=prompt,
+        max_tokens=1,      # Limit the response to 1 token
+    )
+    
+    answer = response.choices[0].text.strip()
+    
+    print(f"Statement: {statement}")
+    print(f"Answer: {answer}")
+    print("----------------------------")