Update app.py

app.py

@@ -241,6 +241,41 @@ class PharmaResearchInterface:
                     blueprint = self.ai_innovator.generate_strategy(target, strategy)
                     st.markdown(blueprint, unsafe_allow_html=True)
 
+    def _trial_analytics(self):
+        """Clinical trial analytics interface"""
+        st.header("Clinical Trial Landscape Analysis")
+        trial_query = st.text_input("Search Clinical Trials:", placeholder="Enter condition, intervention, or NCT number")
+        
+        if st.button("Analyze Trial Landscape"):
+            with st.spinner("Fetching trial data..."):
+                trials = self.clinical_intel.get_trial_landscape(trial_query)
+                
+                if trials:
+                    st.subheader("Top 5 Clinical Trials")
+                    trial_data = []
+                    for study in trials:
+                        trial_data.append({
+                            "Title": study.get("protocolSection", {}).get("identificationModule", {}).get("briefTitle", "N/A"),
+                            "Status": study.get("protocolSection", {}).get("statusModule", {}).get("overallStatus", "N/A"),
+                            "Phase": study.get("protocolSection", {}).get("designModule", {}).get("phases", ["N/A"])[0],
+                            "Enrollment": study.get("protocolSection", {}).get("designModule", {}).get("enrollmentInfo", {}).get("count", "N/A")
+                        })
+                    
+                    # Display as a DataFrame
+                    df = pd.DataFrame(trial_data)
+                    st.dataframe(df)
+                    
+                    # Visualization
+                    st.subheader("Trial Phase Distribution")
+                    phase_counts = df["Phase"].value_counts()
+                    fig, ax = plt.subplots()
+                    sns.barplot(x=phase_counts.index, y=phase_counts.values, ax=ax)
+                    ax.set_xlabel("Trial Phase")
+                    ax.set_ylabel("Number of Trials")
+                    st.pyplot(fig)
+                else:
+                    st.warning("No clinical trials found for the query.")
+
     def _compound_profiler(self):
         """Advanced chemical analysis interface"""
         st.header("Multi-Omics Compound Profiler")
@@ -266,6 +301,32 @@ class PharmaResearchInterface:
                     st.metric("IUPAC Name", profile['iupac_name'])
                     st.code(f"SMILES: {profile['canonical_smiles']}")
 
+    def _regulatory_hub(self):
+        """Regulatory intelligence interface"""
+        st.header("Regulatory Intelligence Hub")
+        st.write("This section provides insights into FDA approvals and regulatory pathways.")
+        drug_name = st.text_input("Enter Drug Name for Regulatory Analysis:", placeholder="e.g., aspirin")
+        
+        if st.button("Fetch Regulatory Data"):
+            with st.spinner("Retrieving regulatory information..."):
+                fda_data = self.clinical_intel.get_fda_approval(drug_name)
+                if fda_data:
+                    st.subheader("FDA Approval Details")
+                    st.json(fda_data)
+                else:
+                    st.warning("No FDA data found for the specified drug.")
+
+    def _ai_strategist(self):
+        """AI-driven drug strategy interface"""
+        st.header("AI Drug Development Strategist")
+        st.write("Leverage GPT-4 for innovative drug development strategies.")
+        target = st.text_input("Enter Target Disease or Pathway:", placeholder="e.g., KRAS G12C mutation")
+        
+        if st.button("Generate AI Strategy"):
+            with st.spinner("Generating AI-driven strategy..."):
+                strategy = self.ai_innovator.generate_strategy(target, "First-in-class")
+                st.markdown(strategy, unsafe_allow_html=True)
+
 # -----------------------------
 # MAIN EXECUTION
 # -----------------------------