Delete generate_explanation.py

generate_explanation.py

@@ -1,58 +0,0 @@
-import os
-import google.generativeai as genai
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Configure Gemini API
-genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
-
-# Model configuration
-generation_config = {
-    "temperature": 0.7,
-    "top_p": 0.9,
-    "top_k": 40,
-    "max_output_tokens": 300,
-    "response_mime_type": "text/plain",
-}
-
-# Initialize the Gemini model
-model = genai.GenerativeModel(
-    model_name="gemini-1.5-flash", 
-    generation_config=generation_config,
-)
-
-
-def generate_explanation(news, context, truth_score):
-    """
-    Generate a concise explanation supporting the truth score.
-
-    Arguments:
-    - news (str): The news or claim being analyzed.
-    - context (str): Relevant context from external sources.
-    - truth_score (float): The score indicating the truthfulness of the news.
-
-    Returns:
-    - str: A simple explanation or an empty string if an error occurs.
-    """
-
-    # Define the prompt for explanation
-    prompt = (
-        "Summarize the context below and explain why the given truth score was assigned to the news claim.\n\n"
-        f"News: {news}\n\n"
-        f"Context: {context[:3000]}...\n\n"
-        f"Truth Score: {truth_score:.2f}\n\n"
-        "Keep the explanation short, factual, and easy to understand."
-    )
-
-    # Generate explanation
-    try:
-        chat_session = model.start_chat(history=[])  # Start a new chat session
-        response = chat_session.send_message(prompt)
-        return response.text.strip()  # Return only the explanation text
-
-    except Exception as e:
-        # Print error and return an empty string
-        print(f"Error generating explanation: {str(e)}")
-        return ""