Update app.py

app.py

@@ -169,36 +169,36 @@ 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})