Create Technical_to_Non_Technical_Explainer.py

pages/Technical_to_Non_Technical_Explainer.py

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+import os
+import streamlit as st
+from llama_index.core import Settings
+from llama_index.core import VectorStoreIndex, Document
+from llama_index.embeddings.gemini import GeminiEmbedding
+from llama_index.llms.gemini import Gemini
+from llama_index.embeddings.fastembed import FastEmbedEmbedding
+import google.generativeai as genai
+import streamlit_analytics2 as streamlit_analytics
+
+# Set up Google API key (make sure to set this in your environment variables)
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+
+# Configure Google Gemini
+Settings.embed_model = GeminiEmbedding(api_key=GOOGLE_API_KEY, model_name="models/embedding-001")
+Settings.embed_model = FastEmbedEmbedding(model_name="BAAI/bge-small-en-v1.5")
+Settings.llm = Gemini(api_key=GOOGLE_API_KEY, temperature=0.1, model_name="models/gemini-pro")
+llm = Gemini(api_key=GOOGLE_API_KEY, temperature=0.1, model_name="models/gemini-pro")
+
+def generate_explanation(technical_input, audience_level):
+    # Create a document from the technical input
+    document = Document(text=technical_input)
+    
+    # Create an index from the document
+    index = VectorStoreIndex.from_documents([document])
+    
+    # Create a query engine
+    query_engine = index.as_query_engine()
+    
+    # Generate the explanation
+    response = query_engine.query(f"""
+    You are an expert at explaining complex technical concepts to non-technical audiences. 
+    Your task is to explain the following technical input in a way that a {audience_level} can understand:
+
+    {technical_input}
+
+    Guidelines:
+    1. Use simple, everyday language and avoid jargon.
+    2. Use analogies or real-world examples to illustrate complex concepts.
+    3. Break down the explanation into easy-to-understand steps or points.
+    4. If you need to use any technical terms, provide clear definitions.
+    5. Focus on the 'why' and 'how' to help the audience grasp the concepts.
+    6. Tailor your explanation to the specified audience level.
+
+    Please provide a clear, concise, and engaging explanation.
+    """)
+    
+    return response.response
+
+def main():
+    st.title("Technical to Non-Technical Explainer")
+    st.write("Enter your technical points or concepts, and our AI will explain them in non-technical terms!")
+
+    with streamlit_analytics.track():
+        # Technical input
+        technical_input = st.text_area("Enter your technical points or concepts", height=150)
+        
+        # Audience level selection
+        audience_level = st.selectbox(
+            "Select the knowledge level of your target audience",
+            ("Beginner", "Intermediate", "Advanced non-technical")
+        )
+        
+        if st.button("Generate Explanation"):
+            if technical_input:
+                st.write("Generating non-technical explanation...")
+                
+                explanation = generate_explanation(technical_input, audience_level)
+                
+                st.write("## Non-Technical Explanation")
+                st.write(explanation)
+            else:
+                st.warning("Please enter some technical points or concepts to explain.")
+
+if __name__ == "__main__":
+    main()