Update app.py

Changing to multiple pdf

app.py

@@ -70,8 +70,8 @@ def create_conversational_chain(vector_store):
     load_dotenv()
     llm = Replicate(
         streaming = True,
-        model = "replicate/llama-2-70b-chat:58d078176e02c219e11eb4da5a02a7830a283b14cf8f94537af893ccff5ee781",
-        # model = "meta/llama-2-7b-chat:8e6975e5ed6174911a6ff3d60540dfd4844201974602551e10e9e87ab143d81e",
+        # model = "replicate/llama-2-70b-chat:58d078176e02c219e11eb4da5a02a7830a283b14cf8f94537af893ccff5ee781",
+        model = "meta/llama-2-7b-chat:8e6975e5ed6174911a6ff3d60540dfd4844201974602551e10e9e87ab143d81e",
         callbacks=[StreamingStdOutCallbackHandler()],
         input = {"temperature": 0.01, "max_length" :500,"top_p":1})
     memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
@@ -95,13 +95,13 @@ def main():
     # Initialize session state
     initialize_session_state()
     st.title("Chat Docs CSA")
-    loader = UnstructuredFileLoader('./Highway Traffic Act, R.S.O. 1990, c. H.8[465] - Copy.pdf')
-    documents = loader.load()
-    # documents = []
-    # for file_path in file_paths:
-    #     loader = UnstructuredFileLoader(file_path)
-    #     loaded_doc = loader.load()  # Assuming this returns a list of pages
-    #     documents.extend(loaded_doc)
+    # loader = UnstructuredFileLoader('./Highway Traffic Act, R.S.O. 1990, c. H.8[465] - Copy.pdf')
+    # documents = loader.load()
+    documents = []
+    for file_path in file_paths:
+        loader = UnstructuredFileLoader(file_path)
+        loaded_doc = loader.load()  # Assuming this returns a list of pages
+        documents.extend(loaded_doc)
 
     text_splitter=CharacterTextSplitter(separator='\n',
                                     chunk_size=1500,