Update app.py

app.py

@@ -1180,116 +1180,115 @@ def main():
             create_file(filename, user_prompt, response, should_save)
             
 
-    # Function to encode file to base64
-    def get_base64_encoded_file(file_path):
-        with open(file_path, "rb") as file:
-            return base64.b64encode(file.read()).decode()
-
-    # Function to create a download link
-    def get_audio_download_link(file_path):
-        base64_file = get_base64_encoded_file(file_path)
-        return f'<a href="data:file/wav;base64,{base64_file}" download="{os.path.basename(file_path)}">⬇️ Download Audio</a>'
-
-    # Compose a file sidebar of past encounters
-    all_files = glob.glob("*.wav")
-    all_files = [file for file in all_files if len(os.path.splitext(file)[0]) >= 10]  # exclude files with short names
-    all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)  # sort by file type and file name in descending order
-
-    filekey = 'delall'
-    if st.sidebar.button("🗑 Delete All Audio", key=filekey):
-        for file in all_files:
-            os.remove(file)
-        st.experimental_rerun()
-
+# Function to encode file to base64
+def get_base64_encoded_file(file_path):
+    with open(file_path, "rb") as file:
+        return base64.b64encode(file.read()).decode()
+
+# Function to create a download link
+def get_audio_download_link(file_path):
+    base64_file = get_base64_encoded_file(file_path)
+    return f'<a href="data:file/wav;base64,{base64_file}" download="{os.path.basename(file_path)}">⬇️ Download Audio</a>'
+
+# Compose a file sidebar of past encounters
+all_files = glob.glob("*.wav")
+all_files = [file for file in all_files if len(os.path.splitext(file)[0]) >= 10]  # exclude files with short names
+all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)  # sort by file type and file name in descending order
+
+filekey = 'delall'
+if st.sidebar.button("🗑 Delete All Audio", key=filekey):
     for file in all_files:
-        col1, col2 = st.sidebar.columns([6, 1])  # adjust the ratio as needed
-        with col1:
-            st.markdown(file)
-            if st.button("🎵", key="play_" + file):  # play emoji button
-                audio_file = open(file, 'rb')
-                audio_bytes = audio_file.read()
-                st.audio(audio_bytes, format='audio/wav')
-                #st.markdown(get_audio_download_link(file), unsafe_allow_html=True)
-                #st.text_input(label="", value=file)
-        with col2:
-            if st.button("🗑", key="delete_" + file):
-                os.remove(file)
-                st.experimental_rerun()
-
+        os.remove(file)
+    st.experimental_rerun()
+
+for file in all_files:
+    col1, col2 = st.sidebar.columns([6, 1])  # adjust the ratio as needed
+    with col1:
+        st.markdown(file)
+        if st.button("🎵", key="play_" + file):  # play emoji button
+            audio_file = open(file, 'rb')
+            audio_bytes = audio_file.read()
+            st.audio(audio_bytes, format='audio/wav')
+            #st.markdown(get_audio_download_link(file), unsafe_allow_html=True)
+            #st.text_input(label="", value=file)
+    with col2:
+        if st.button("🗑", key="delete_" + file):
+            os.remove(file)
+            st.experimental_rerun()
 
 
-    GiveFeedback=False
-    if GiveFeedback:
-        with st.expander("Give your feedback 👍", expanded=False):
-            feedback = st.radio("Step 8: Give your feedback", ("👍 Upvote", "👎 Downvote"))
-            if feedback == "👍 Upvote":
-                st.write("You upvoted 👍. Thank you for your feedback!")
-            else:
-                st.write("You downvoted 👎. Thank you for your feedback!")
-            load_dotenv()
-            st.write(css, unsafe_allow_html=True)
-            st.header("Chat with documents :books:")
-            user_question = st.text_input("Ask a question about your documents:")
-            if user_question:
-                process_user_input(user_question)
-            with st.sidebar:
-                st.subheader("Your documents")
-                docs = st.file_uploader("import documents", accept_multiple_files=True)
-                with st.spinner("Processing"):
-                    raw = pdf2txt(docs)
-                    if len(raw) > 0:
-                        length = str(len(raw))
-                        text_chunks = txt2chunks(raw)
-                        vectorstore = vector_store(text_chunks)
-                        st.session_state.conversation = get_chain(vectorstore)
-                        st.markdown('# AI Search Index of Length:' + length + ' Created.')  # add timing
-                        filename = generate_filename(raw, 'txt')
-                        create_file(filename, raw, '', should_save)
-    
 
-    try:
-        query_params = st.query_params
-        query = (query_params.get('q') or query_params.get('query') or [''])
-        if query: search_glossary(query)
-    except:
-        st.markdown(' ')
+GiveFeedback=False
+if GiveFeedback:
+    with st.expander("Give your feedback 👍", expanded=False):
+        feedback = st.radio("Step 8: Give your feedback", ("👍 Upvote", "👎 Downvote"))
+        if feedback == "👍 Upvote":
+            st.write("You upvoted 👍. Thank you for your feedback!")
+        else:
+            st.write("You downvoted 👎. Thank you for your feedback!")
+        load_dotenv()
+        st.write(css, unsafe_allow_html=True)
+        st.header("Chat with documents :books:")
+        user_question = st.text_input("Ask a question about your documents:")
+        if user_question:
+            process_user_input(user_question)
+        with st.sidebar:
+            st.subheader("Your documents")
+            docs = st.file_uploader("import documents", accept_multiple_files=True)
+            with st.spinner("Processing"):
+                raw = pdf2txt(docs)
+                if len(raw) > 0:
+                    length = str(len(raw))
+                    text_chunks = txt2chunks(raw)
+                    vectorstore = vector_store(text_chunks)
+                    st.session_state.conversation = get_chain(vectorstore)
+                    st.markdown('# AI Search Index of Length:' + length + ' Created.')  # add timing
+                    filename = generate_filename(raw, 'txt')
+                    create_file(filename, raw, '', should_save)
+
+
+try:
+    query_params = st.query_params
+    query = (query_params.get('q') or query_params.get('query') or [''])
+    if query: search_glossary(query)
+except:
+    st.markdown(' ')
+
+# Display the glossary grid
+st.markdown("### 🎲🗺️ Word Game Gallery")
+
+display_glossary_grid(roleplaying_glossary)  # Word Glossary Jump Grid
+display_buttons_with_scores()  # Feedback Jump Grid
+display_videos_and_links()   # Video Jump Grid
+display_images_and_wikipedia_summaries()   # Image Jump Grid
+
+
+if 'action' in st.query_params:
+    action = st.query_params()['action'][0]  # Get the first (or only) 'action' parameter
+    if action == 'show_message':
+        st.success("Showing a message because 'action=show_message' was found in the URL.")
+    elif action == 'clear':
+        clear_query_params()
+        st.experimental_rerun()
 
-    # Display the glossary grid
-    st.markdown("### 🎲🗺️ Word Game Gallery")
+# Handling repeated keys
+if 'multi' in st.query_params:
+    multi_values = get_all_query_params('multi')
+    st.write("Values for 'multi':", multi_values)
 
-    display_glossary_grid(roleplaying_glossary)  # Word Glossary Jump Grid
-    display_buttons_with_scores()  # Feedback Jump Grid
+# Manual entry for demonstration
+st.write("Enter query parameters in the URL like this: ?action=show_message&multi=1&multi=2")
 
-    display_videos_and_links()   # Video Jump Grid
-    display_images_and_wikipedia_summaries()   # Image Jump Grid
+if 'query' in st.query_params:
+    query = st.query_params['query'][0]  # Get the query parameter
+    # Display content or image based on the query
+    display_content_or_image(query)
 
-    
-    if 'action' in st.query_params:
-        action = st.query_params()['action'][0]  # Get the first (or only) 'action' parameter
-        if action == 'show_message':
-            st.success("Showing a message because 'action=show_message' was found in the URL.")
-        elif action == 'clear':
-            clear_query_params()
-            st.experimental_rerun()
-    
-    # Handling repeated keys
-    if 'multi' in st.query_params:
-        multi_values = get_all_query_params('multi')
-        st.write("Values for 'multi':", multi_values)
-    
-    # Manual entry for demonstration
-    st.write("Enter query parameters in the URL like this: ?action=show_message&multi=1&multi=2")
-    
-    if 'query' in st.query_params:
-        query = st.query_params['query'][0]  # Get the query parameter
-        # Display content or image based on the query
-        display_content_or_image(query)
-    
-    # Add a clear query parameters button for convenience
-    if st.button("Clear Query Parameters", key='ClearQueryParams'):
-        # This will clear the browser URL's query parameters
-        st.experimental_set_query_params
-        st.experimental_rerun()
+# Add a clear query parameters button for convenience
+if st.button("Clear Query Parameters", key='ClearQueryParams'):
+    # This will clear the browser URL's query parameters
+    st.experimental_set_query_params
+    st.experimental_rerun()
                     
 # 18. Run AI Pipeline
 if __name__ == "__main__":