Create app.py

app.py

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+import streamlit as st
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+import os
+
+# Set your OpenAI key
+openai_api_key = os.getenv("OPENAI_API_KEY")
+os.environ["OPENAI_API_KEY"] = openai_api_key
+
+# Prompt template for comparison
+prompt_template = PromptTemplate(
+    input_variables=["product1", "product2"],
+    template="""
+Compare the following two products/services:
+
+Product 1: {product1}
+Product 2: {product2}
+
+Please provide the following:
+1. A feature-by-feature comparison.
+2. A SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis for each.
+3. A comparative summary highlighting key differentiators.
+"""
+)
+
+# Initialize LLM and chain
+llm = ChatOpenAI(temperature=0, model="gpt-4")
+comparison_chain = LLMChain(llm=llm, prompt=prompt_template)
+
+# Streamlit UI
+st.set_page_config(page_title="Competitive Analysis Tool", layout="wide")
+st.title("🔍 Competitive Analysis Tool")
+
+st.markdown("Compare two products or services and get a full SWOT analysis and feature comparison.")
+
+# Input fields
+product1 = st.text_area("📝 Enter details of Product/Service 1", height=200)
+product2 = st.text_area("📝 Enter details of Product/Service 2", height=200)
+
+# Button
+if st.button("Compare"):
+    if product1.strip() and product2.strip():
+        with st.spinner("Generating analysis..."):
+            result = comparison_chain.run(product1=product1, product2=product2)
+
+        # Display result in separate sections
+        st.subheader("📊 Feature Comparison & SWOT Analysis")
+        st.markdown(result)
+    else:
+        st.warning("Please enter details for both products/services.")
+
+# Footer
+st.markdown("---")
+st.caption("Powered by OpenAI + Langchain + Streamlit")