Update app.py

app.py

@@ -7,60 +7,75 @@ import json
 import mistune
 import pytz
 import math
+import requests
+
 from datetime import datetime
 from openai import ChatCompletion
 from xml.etree import ElementTree as ET
 from bs4 import BeautifulSoup
 from collections import deque
+from audio_recorder_streamlit import audio_recorder
 
-openai.api_key = os.getenv('OPENAI_KEY')
-st.set_page_config(
-    page_title="GPT Streamlit Document Reasoner",
-    layout="wide")
-
-menu = ["txt", "htm", "md", "py"]
-choice = st.sidebar.selectbox("Output file type:", menu)
-choicePrefix = "Output file type is "
-
-if choice == "txt":
-     st.sidebar.write(choicePrefix + "Text File.")
-elif choice == "htm":
-     st.sidebar.write(choicePrefix + "HTML5.")
-elif choice == "md":
-     st.sidebar.write(choicePrefix + "Markdown.")
-elif choice == "py":
-     st.sidebar.write(choicePrefix + "Python Code.")
-
-model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))
+def generate_filename(prompt, file_type):
+    central = pytz.timezone('US/Central')
+    safe_date_time = datetime.now(central).strftime("%m%d_%I%M")  
+    safe_prompt = "".join(x for x in prompt if x.isalnum())[:45]
+    return f"{safe_date_time}_{safe_prompt}.{file_type}"
 
 def chat_with_model(prompt, document_section):
     model = model_choice
     conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
     conversation.append({'role': 'user', 'content': prompt})
-    conversation.append({'role': 'assistant', 'content': document_section})
+    if len(document_section)>0:
+        conversation.append({'role': 'assistant', 'content': document_section})
     response = openai.ChatCompletion.create(model=model, messages=conversation)
+    #return response
     return response['choices'][0]['message']['content']
+    
+def transcribe_audio(openai_key, file_path, model):
+    OPENAI_API_URL = "https://api.openai.com/v1/audio/transcriptions"
+    headers = {
+        "Authorization": f"Bearer {openai_key}",
+    }
+    with open(file_path, 'rb') as f:
+        data = {'file': f}
+        response = requests.post(OPENAI_API_URL, headers=headers, files=data, data={'model': model})
+    if response.status_code == 200:
+        st.write(response.json())
+        
+        response2 = chat_with_model(response.json().get('text'), '') # *************************************
+        st.write('Responses:')
+        #st.write(response)
+        st.write(response2)
+        return response.json().get('text')
+    else:
+        st.write(response.json())
+        st.error("Error in API call.")
+        return None
 
-def generate_filename(prompt, file_type):
-    central = pytz.timezone('US/Central')
-    safe_date_time = datetime.now(central).strftime("%m%d_%I%M")  
-    safe_prompt = "".join(x for x in prompt if x.isalnum())[:45]
-    return f"{safe_date_time}_{safe_prompt}.{file_type}"
+def save_and_play_audio(audio_recorder):
+    audio_bytes = audio_recorder()
+    if audio_bytes:
+        filename = generate_filename("Recording", "wav")
+        with open(filename, 'wb') as f:
+            f.write(audio_bytes)
+        st.audio(audio_bytes, format="audio/wav")
+        return filename
+    return None
 
 def create_file(filename, prompt, response):
     if filename.endswith(".txt"):
         with open(filename, 'w') as file:
-            file.write(f"Prompt:\n{prompt}\nResponse:\n{response}")
+            file.write(f"{prompt}\n{response}")
     elif filename.endswith(".htm"):
         with open(filename, 'w') as file:
-            file.write(f"<h1>Prompt:</h1> <p>{prompt}</p> <h1>Response:</h1> <p>{response}</p>")
+            file.write(f"{prompt}   {response}")
     elif filename.endswith(".md"):
         with open(filename, 'w') as file:
-            file.write(f"# Prompt:\n{prompt}\n# Response:\n{response}")
-
+            file.write(f"{prompt}\n\n{response}")
+            
 def truncate_document(document, length):
     return document[:length]
-
 def divide_document(document, max_length):
     return [document[i:i+max_length] for i in range(0, len(document), max_length)]
 
@@ -72,6 +87,12 @@ def get_table_download_link(file_path):
     ext = os.path.splitext(file_name)[1]  # get the file extension
     if ext == '.txt':
         mime_type = 'text/plain'
+    elif ext == '.py':
+        mime_type = 'text/plain'
+    elif ext == '.xlsx':
+        mime_type = 'text/plain'
+    elif ext == '.csv':
+        mime_type = 'text/plain'
     elif ext == '.htm':
         mime_type = 'text/html'
     elif ext == '.md':
@@ -109,15 +130,44 @@ def read_file_content(file,max_length):
     else:
         return ""
 
+
+
+def chat_with_file_contents(prompt, file_content):
+    conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
+    conversation.append({'role': 'user', 'content': prompt})
+    if len(file_content)>0:
+        conversation.append({'role': 'assistant', 'content': file_content})
+    response = openai.ChatCompletion.create(model=model_choice, messages=conversation)
+    return response['choices'][0]['message']['content']
+        
+
+# Sidebar and global
+openai.api_key = os.getenv('OPENAI_KEY')
+st.set_page_config(page_title="GPT Streamlit Document Reasoner",layout="wide")
+menu = ["htm", "txt", "xlsx", "csv", "md", "py"]  #619
+choice = st.sidebar.selectbox("Output File Type:", menu)
+model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))
+
+# Audio, transcribe, GPT:
+filename = save_and_play_audio(audio_recorder)
+if filename is not None:
+    transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
+    st.write(transcription)
+    gptOutput = chat_with_model(transcription, '') # *************************************
+    filename = generate_filename(transcription, choice)
+    create_file(filename, transcription, gptOutput)
+    st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+
+
 def main():
-    user_prompt = st.text_area("Your question:", '', height=120)
+    user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
 
     collength, colupload = st.columns([2,3])  # adjust the ratio as needed
     with collength:
         #max_length = 12000 - optimal for gpt35 turbo. 2x=24000 for gpt4.  8x=96000 for gpt4-32k.
-        max_length = st.slider("Context Section Length", min_value=1000, max_value=128000, value=12000, step=1000)
+        max_length = st.slider("File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
     with colupload:
-        uploaded_file = st.file_uploader("Choose a file", type=["xml", "json", "html", "htm", "md", "txt"])
+        uploaded_file = st.file_uploader("Add a file for context:", type=["xml", "json", "xlsx","csv","html", "htm", "md", "txt"])
     
     document_sections = deque()
     document_responses = {}
@@ -139,8 +189,8 @@ def main():
                 st.markdown(f"**Section {i+1}**\n{document_responses[i]}")
             else:
                 if st.button(f"Chat about Section {i+1}"):
-                    st.write('Thinking and Reasoning with your inputs...')
-                    response = chat_with_model(user_prompt, section)
+                    st.write('Reasoning with your inputs...')
+                    response = chat_with_model(user_prompt, section) # *************************************
                     st.write('Response:')
                     st.write(response)
                     document_responses[i] = response
@@ -149,26 +199,60 @@ def main():
                     st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
 
     if st.button('💬 Chat'):
-        st.write('Thinking and Reasoning with your inputs...')
-        response = chat_with_model(user_prompt, ''.join(list(document_sections)))
+        st.write('Reasoning with your inputs...')
+        response = chat_with_model(user_prompt, ''.join(list(document_sections))) # *************************************
         st.write('Response:')
         st.write(response)
         
         filename = generate_filename(user_prompt, choice)
         create_file(filename, user_prompt, response)
         st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
-    
+
     all_files = glob.glob("*.*")
     all_files = [file for file in all_files if len(os.path.splitext(file)[0]) >= 20]  # exclude files with short names
-    all_files = sorted(all_files, key=lambda x: (os.path.splitext(x)[1], x))  # sort by file type and file name
+    all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True)  # sort by file type and file name in descending order
+
+    # sidebar of files
+    file_contents=''
+    next_action=''
     for file in all_files:
-        col1, col3 = st.sidebar.columns([5,1])  # adjust the ratio as needed
+        col1, col2, col3, col4, col5 = st.sidebar.columns([1,6,1,1,1])  # adjust the ratio as needed
         with col1:
+            if st.button("🌐", key="md_"+file):  # md emoji button
+                with open(file, 'r') as f:
+                    file_contents = f.read()
+                    next_action='md'
+        with col2:
             st.markdown(get_table_download_link(file), unsafe_allow_html=True)
         with col3:
+            if st.button("📂", key="open_"+file):  # open emoji button
+                with open(file, 'r') as f:
+                    file_contents = f.read()
+                    next_action='open'
+        with col4:
+            if st.button("🔍", key="read_"+file):  # search emoji button
+                with open(file, 'r') as f:
+                    file_contents = f.read()
+                    next_action='search'
+        with col5:
             if st.button("🗑", key="delete_"+file):
                 os.remove(file)
                 st.experimental_rerun()
-
+                
+    if len(file_contents) > 0:
+        if next_action=='open':
+            file_content_area = st.text_area("File Contents:", file_contents, height=500)
+        if next_action=='md':
+            st.markdown(file_contents)
+        if next_action=='search':
+            file_content_area = st.text_area("File Contents:", file_contents, height=500)
+            st.write('Reasoning with your inputs...')
+            response = chat_with_file_contents(file_contents)
+            st.write('Response:')
+            st.write(response)
+            filename = generate_filename(file_content_area, choice)
+            create_file(filename, file_content_area, response)
+            st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+                
 if __name__ == "__main__":
-    main()
+    main()