Update app.py

app.py

@@ -96,7 +96,8 @@ if uploaded_files:
 
             # Implement Research Gap Identification based on inconsistencies between papers
             st.subheader("Research Gap Analysis:", icon="⚠️")
-            research_gap = ask_groq_api("Identify research gaps and unanswered questions based on the following context:", context)
+            # We will analyze the chunks and context to identify research gaps
+            research_gap = analyze_research_gaps(all_chunks)
             st.write(f"**Research Gaps Identified:** {research_gap}")
         else:
             st.write("No relevant sections found for your question.")
@@ -104,8 +105,8 @@ if uploaded_files:
     # Adding an emoji for research gap feature
     if st.button("Identify Research Gaps", help="Find unanswered questions or areas where research is lacking", icon="⚠️"):
         st.write("**Research Gap Analysis:**")
-        # Here you would analyze the content and highlight gaps
-        research_gap_analysis = "Based on the analysis of the uploaded papers, several research gaps have been identified, including inconsistent findings in the areas of X, Y, and Z. Further research is needed to clarify these discrepancies."
+        # Implementing research gap analysis based on comparing papers
+        research_gap_analysis = identify_research_gaps(all_chunks)
         st.write(research_gap_analysis)
 
     # Button to generate scatter plot with a chart emoji
@@ -121,3 +122,24 @@ if uploaded_files:
 
     # Text area for annotations without the icon
     st.text_area("Annotate Your Insights:", height=100, key="annotations", help="Add your thoughts or comments here")
+
+# Function to analyze and identify research gaps by comparing chunks from different papers
+def analyze_research_gaps(chunks):
+    # Here we would compare text from different papers to identify discrepancies
+    gaps = []
+    for i, chunk_1 in enumerate(chunks):
+        for j, chunk_2 in enumerate(chunks):
+            if i != j:
+                # Simple heuristic to compare chunks for inconsistencies or gaps
+                if chunk_1[:100] != chunk_2[:100]:  # Checking first 100 characters for difference
+                    gaps.append(f"Potential inconsistency between chunk {i} and chunk {j}.")
+    return "\n".join(gaps) if gaps else "No major inconsistencies found."
+
+# Function to identify unanswered questions based on comparative analysis of multiple papers
+def identify_research_gaps(chunks):
+    unanswered_questions = []
+    # Simulate a simple search for keywords related to unanswered questions
+    for chunk in chunks:
+        if "future research" in chunk or "unanswered questions" in chunk:
+            unanswered_questions.append(chunk)
+    return "\n".join(unanswered_questions) if unanswered_questions else "No specific unanswered questions found."