Create app.py

app.py

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+import streamlit as st
+from industry_research import get_company_info
+from use_case_generation import generate_use_cases
+from dataset_collection import collect_datasets
+from proposal_compilation import compile_proposal
+
+st.title("AI and GenAI Use Case Generator")
+
+# Step 1: Get company URL
+company_url = st.text_input("Enter Company Website URL", "https://example.com")
+
+if st.button("Generate Proposal"):
+    # Step 2: Get company info
+    st.write("Fetching company information...")
+    company_info = get_company_info(company_url)
+    st.write("Company Information:", company_info)
+
+    # Step 3: Generate use cases based on company info
+    st.write("Generating use cases...")
+    use_cases = generate_use_cases(company_info)
+    st.write("Use Cases:", use_cases["use_cases"])
+
+    # Step 4: Collect dataset links
+    st.write("Collecting relevant datasets...")
+    resource_file = collect_datasets()
+    st.write("Datasets saved in:", resource_file)
+
+    # Step 5: Compile final proposal
+    proposal_file = compile_proposal(use_cases, resource_file)
+    st.write("Final proposal saved as:", proposal_file)
+
+    with open(proposal_file, "r") as f:
+        st.download_button("Download Proposal", f, file_name=proposal_file)