Update sherlock2.py

sherlock2.py

@@ -267,7 +267,39 @@ def investigate():
     uploaded_images = st.file_uploader("Upload Case Images", accept_multiple_files=True, type=["jpg", "png", "jpeg"])
 
     if uploaded_documents and uploaded_images and st.button("Analyze Case"):
-        # ... (keep the existing code for case investigation)
+
+        # Extract text from uploaded documents
+        case_text = extract_text_from_files(uploaded_documents)
+        
+        # Extract keywords and important information from the text
+        keywords = extract_keywords_simple("\n\n".join(case_text))
+
+        # Generate embeddings for the extracted text
+        case_embeddings = generate_embeddings_from_documents(case_text)
+
+        # Process images using Gemini Pro Vision
+        image_insights = process_images(uploaded_images)
+
+        # Combine text, image, and keyword information
+        combined_information = {
+            "case_text": case_text,
+            "case_embeddings": case_embeddings,
+            "image_insights": image_insights,
+            "keywords": keywords
+        }
+
+        # Analyze combined information using Gemini 1.5 Pro
+        prompt = """
+        You are Sherlock Holmes, the renowned detective. Analyze the following case information and provide insights or 
+        suggestions for further investigation:
+        """ + str(combined_information)
+
+        response = model.generate_content([sherlock_persona, sherlock_guidelines, prompt, *case_embeddings])
+        st.write(response.text)
+
+        # Search Wikipedia and the web for related information
+        wikipedia_info = search_and_scrape_wikipedia(keywords)
+        web_search_results = search_internet("\n\n".join(case_text))  # Search the web
 
         # Generate a case report in Sherlock Holmes's style
         report_prompt = """
@@ -279,7 +311,6 @@ def investigate():
         final_report = model.generate_content([sherlock_persona, sherlock_guidelines, report_prompt, 
                                                *case_embeddings, str(wikipedia_info), str(web_search_results)])
         st.header("Case Report")
-        st.write(final_report.text)
 
         # Display chat history
         display_chat_history()