Update app.py

app.py

@@ -170,36 +170,36 @@ if img_file:
             text_file = BytesIO(ocr_text.encode())
             st.download_button('Download Text', text_file, file_name='ocr_text.txt')
 
-        openai.api_key = ""
-
-        if "openai_model" not in st.session_state:
-            st.session_state["openai_model"] = "gpt-3.5-turbo"
-        
-        if "messages" not in st.session_state:
-            st.session_state.messages = []
-        
-        for message in st.session_state.messages:
-            with st.chat_message(message["role"]):
-                st.markdown(message["content"])
-        
-        if prompt := st.chat_input("How can I help?"):
-            st.session_state.messages.append({"role": "user", "content": ocr_text+ prompt})
-            with st.chat_message("user"):
-                st.markdown(prompt)
-        
-            with st.chat_message("assistant"):
-                message_placeholder = st.empty()
-                full_response = ""
-                for response in openai.ChatCompletion.create(
-                    model=st.session_state["openai_model"],
-                    messages=[
-                        {"role": m["role"], "content": m["content"]}
-                        for m in st.session_state.messages
-                    ],
-                    stream=True,
-                ):
-                    full_response += response.choices[0].delta.get("content", "")
-                    message_placeholder.markdown(full_response + "▌")
-                message_placeholder.markdown(full_response)
-            st.session_state.messages.append({"role": "assistant", "content": full_response})
+    openai.api_key = ""
+    
+    if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-3.5-turbo"
+    
+    if "messages" not in st.session_state:
+    st.session_state.messages = []
+    
+    for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+    
+    if prompt := st.chat_input("How can I help?"):
+    st.session_state.messages.append({"role": "user", "content": ocr_text+ prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for response in openai.ChatCompletion.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True,
+        ):
+            full_response += response.choices[0].delta.get("content", "")
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    st.session_state.messages.append({"role": "assistant", "content": full_response})