Update app.py

app.py

@@ -113,8 +113,8 @@ def upload_files(files):
         print(f"General error processing files: {e}")
         return {"error": str(e)}
 
-def process_and_query(state, question):
-    global faiss_index
+def process_and_query(question):
+    global state, faiss_index
     if not question:
         return {"error": "No question provided"}
 
@@ -127,7 +127,50 @@ def process_and_query(state, question):
 
         # Generate response based on retrieved results
         context = " ".join(retrieved_results)
-        combined_input = f"Question: {question}\nContext: {context}"
+        
+        # Enhanced prompt template
+        prompt_template = """
+        Answer the question as detailed as possible from the provided context,
+        make sure to provide all the details, if the answer is not in
+        provided context just say, "answer is not available in the context",
+        don't provide the wrong answer
+
+        Context:\n{context}
+
+        Question: \n{question}
+
+        Answer:
+        --------------------------------------------------
+        Prompt Suggestions:
+        1. Summarize the primary theme of the context.
+        2. Elaborate on the crucial concepts highlighted in the context.
+        3. Pinpoint any supporting details or examples pertinent to the question.
+        4. Examine any recurring themes or patterns relevant to the question within the context.
+        5. Contrast differing viewpoints or elements mentioned in the context.
+        6. Explore the potential implications or outcomes of the information provided.
+        7. Assess the trustworthiness and validity of the information given.
+        8. Propose recommendations or advice based on the presented information.
+        9. Forecast likely future events or results stemming from the context.
+        10. Expand on the context or background information pertinent to the question.
+        11. Define any specialized terms or technical language used within the context.
+        12. Analyze any visual representations like charts or graphs in the context.
+        13. Highlight any restrictions or important considerations when responding to the question.
+        14. Examine any presuppositions or biases evident within the context.
+        15. Present alternate interpretations or viewpoints regarding the information provided.
+        16. Reflect on any moral or ethical issues raised by the context.
+        17. Investigate any cause-and-effect relationships identified in the context.
+        18. Uncover any questions or areas requiring further exploration.
+        19. Resolve any vague or conflicting information in the context.
+        20. Cite case studies or examples that demonstrate the concepts discussed in the context.
+        --------------------------------------------------
+        Context:\n{context}
+
+        Question:\n{question}
+
+        Answer:
+        """
+        
+        combined_input = prompt_template.format(context=context, question=question)
         inputs = generator_tokenizer(combined_input, return_tensors="pt", max_length=512, truncation=True)
         with torch.no_grad():
             generator_outputs = generator.generate(**inputs)