Update app.py

app.py

@@ -16,8 +16,142 @@ from bs4 import BeautifulSoup
 from collections import deque
 from audio_recorder_streamlit import audio_recorder
 
-# Function Definitions (kept unchanged)
-# ...
+
+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})
+    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 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}")
+    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>")
+    elif filename.endswith(".md"):
+        with open(filename, 'w') as file:
+            file.write(f"# Prompt:\n{prompt}\n# Response:\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)]
+def get_table_download_link(file_path):
+    with open(file_path, 'r') as file:
+        data = file.read()
+    b64 = base64.b64encode(data.encode()).decode()  
+    file_name = os.path.basename(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':
+        mime_type = 'text/markdown'
+    else:
+        mime_type = 'application/octet-stream'  # general binary data type
+    href = f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
+    return href
+
+    
+
+
+
+
+def CompressXML(xml_text):
+    root = ET.fromstring(xml_text)
+    for elem in list(root.iter()):
+        if isinstance(elem.tag, str) and 'Comment' in elem.tag:
+            elem.parent.remove(elem)
+    return ET.tostring(root, encoding='unicode', method="xml")
+    
+def read_file_content(file,max_length):
+    if file.type == "application/json":
+        content = json.load(file)
+        return str(content)
+    elif file.type == "text/html" or file.type == "text/htm":
+        content = BeautifulSoup(file, "html.parser")
+        return content.text
+    elif file.type == "application/xml" or file.type == "text/xml":
+        tree = ET.parse(file)
+        root = tree.getroot()
+        xml = CompressXML(ET.tostring(root, encoding='unicode'))
+        return xml
+    elif file.type == "text/markdown" or file.type == "text/md":
+        md = mistune.create_markdown()
+        content = md(file.read().decode())
+        return content
+    elif file.type == "text/plain":
+        return file.getvalue().decode()
+    else:
+        return ""
+
+
+# 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 chat_with_file_contents(prompt, file_content):
     conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
@@ -74,4 +208,39 @@ def main():
             else:
                 if st.button(f"Chat about Section {i+1}"):
                     st.write('Reasoning with your inputs...')
-                    response = chat_with_model(user
+                    response = chat_with_model(user_prompt, section)
+                    st.write('Response:')
+                    st.write(response)
+                    document_responses[i] = response
+                    filename = generate_filename(f"{user_prompt}_Section_{i+1}", choice)
+                    create_file(filename, user_prompt, response)
+                    st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+
+    # ... document_responses logic remains the same
+    
+    all_files = [file for file in glob.glob("*.{}".format(choice))]
+    
+    for file in all_files:
+        col1, col2, col3 = st.sidebar.columns([5,1,1])  # adjust the ratio as needed
+        with col1:
+            st.markdown(get_table_download_link(file), unsafe_allow_html=True)
+        with col2:
+            if st.button("🔍", key="read_"+file):  # search emoji button
+                with open(file, 'r') as f:
+                    file_contents = f.read()
+                file_content_area = st.text_area("File Contents:", file_contents, height=100)
+                if st.button('💬 Chat with file content'):
+                    st.write('Reasoning with your inputs...')
+                    response = chat_with_file_contents(user_prompt, file_contents)
+                    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)
+        with col3:
+            if st.button("🗑", key="delete_"+file):
+                os.remove(file)
+                st.experimental_rerun()
+
+if __name__ == "__main__":
+    main()