Add application file

app.py

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+import streamlit as st
+from interm import generate_clinical_content, generate_summary, generate_soap_note, save_as_text, save_as_pdf
+
+# Title & Introduction
+st.title("🩺 AI-Powered Clinical Intelligence Assistant")
+st.write("Revolutionizing **clinical documentation, research summarization, and medical education** using AI.")
+
+# Tabs for different functionalities
+tabs = st.tabs(["📝 Clinical Content", "📑 Research Summaries", "🩺 SOAP Notes", "📊 Medical Reports"])
+
+# Tab 1: Generate Clinical Content
+with tabs[0]:
+    st.header("Generate Medical Articles & Patient Education")
+    
+    prompt = st.text_area("Enter a Medical Topic (e.g., AI in Radiology, Hypertension Management):")
+    target_audience = st.selectbox("Select Audience:", ["Clinicians", "Patients", "Researchers"])
+
+    if st.button("Generate Content"):
+        if prompt:
+            with st.spinner("Generating medical content..."):
+                result = generate_clinical_content(prompt, target_audience)
+                st.session_state["medical_content"] = result
+                st.subheader("Generated Medical Content")
+                st.write(result)
+        else:
+            st.warning("Please enter a medical topic.")
+
+# Tab 2: Summarize Research
+with tabs[1]:
+    st.header("Summarize Clinical Trials & Medical Research")
+
+    if "medical_content" in st.session_state:
+        if st.button("Generate Summary"):
+            with st.spinner("Summarizing medical research..."):
+                summary = generate_summary(st.session_state["medical_content"])
+                st.session_state["research_summary"] = summary
+                st.subheader("Clinical Summary")
+                st.markdown(summary)
+    else:
+        st.warning("Generate content in Tab 1 first.")
+
+# Tab 3: SOAP Notes Generator
+with tabs[2]:
+    st.header("Generate SOAP Notes for Patient Consultations")
+
+    symptoms = st.text_area("Enter Symptoms (e.g., fever, cough, chest pain):")
+    patient_history = st.text_area("Brief Patient History:")
+
+    if st.button("Generate SOAP Note"):
+        if symptoms:
+            with st.spinner("Generating SOAP Note..."):
+                soap_note = generate_soap_note(symptoms, patient_history)
+                st.session_state["soap_note"] = soap_note
+                st.subheader("Generated SOAP Note")
+                st.code(soap_note, language="text")
+        else:
+            st.warning("Please enter patient symptoms.")
+
+# Tab 4: Download Clinical Reports
+with tabs[3]:
+    st.header("Download Clinical Reports")
+
+    if "soap_note" in st.session_state:
+        report_content = st.session_state["soap_note"]
+        text_file_path, text_filename = save_as_text(report_content, "Medical_Report.txt")
+        pdf_file_path, pdf_filename = save_as_pdf(report_content, "Medical_Report.pdf")
+
+        with open(text_file_path, "rb") as file:
+            st.download_button("Download Report as TXT", data=file, file_name=text_filename, mime="text/plain")
+
+        with open(pdf_file_path, "rb") as file:
+            st.download_button("Download Report as PDF", data=file, file_name=pdf_filename, mime="application/pdf")