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Update app.py
Browse files
app.py
CHANGED
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@@ -19,17 +19,17 @@ if "conversation" not in st.session_state:
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# Sidebar settings
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with st.sidebar:
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st.title("
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api_key = st.text_input("
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temperature = st.slider("
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# Main UI
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st.title("
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st.markdown("Upload documents and ask questions using GPT.")
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# File uploader
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uploaded_files = st.file_uploader(
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"
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type=["pdf", "docx", "txt", "html"],
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accept_multiple_files=True
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)
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@@ -50,11 +50,11 @@ def extract_text(file):
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return ""
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# Input field
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question = st.text_input("
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# When "Ask" button is clicked
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if st.button("
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with st.spinner("
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# Extract and combine text from all uploaded files
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combined_text = ""
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@@ -62,12 +62,12 @@ if st.button("π Ask") and uploaded_files and question and api_key:
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combined_text += extract_text(file) + "\n"
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if not combined_text.strip():
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st.warning("
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else:
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try:
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openai.api_key = api_key
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful assistant that answers questions based on uploaded documents."},
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{"role": "user", "content": f"DOCUMENT:\n{combined_text[:6000]}\n\nQUESTION:\n{question}"}
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@@ -81,11 +81,11 @@ if st.button("π Ask") and uploaded_files and question and api_key:
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st.session_state.conversation.append({"role": "assistant", "content": answer})
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except Exception as e:
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st.error(f"
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# Display conversation
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if st.session_state.conversation:
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st.markdown("##
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for msg in st.session_state.conversation:
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st.markdown(f"**{'You' if msg['role'] == 'user' else 'Assistant'}:** {msg['content']}")
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@@ -93,7 +93,7 @@ if st.session_state.conversation:
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col1, col2 = st.columns(2)
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with col1:
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if st.button("
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st.session_state.conversation = []
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st.experimental_rerun()
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@@ -110,4 +110,4 @@ if st.session_state.conversation:
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mime = "application/json"
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filename = "conversation.json"
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st.download_button("
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# Sidebar settings
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with st.sidebar:
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st.title("Settings")
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api_key = st.text_input("OpenAI API Key", type="password")
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temperature = st.slider("Temperature", 0.0, 1.0, 0.3, 0.1)
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# Main UI
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st.title("Document Parser")
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st.markdown("Upload documents and ask questions using GPT.")
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# File uploader
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uploaded_files = st.file_uploader(
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"Upload Documents (PDF, DOCX, TXT, HTML)",
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type=["pdf", "docx", "txt", "html"],
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accept_multiple_files=True
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)
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return ""
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# Input field
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question = st.text_input("Ask a question about the uploaded documents:")
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# When "Ask" button is clicked
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if st.button("Ask") and uploaded_files and question and api_key:
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with st.spinner("Processing..."):
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# Extract and combine text from all uploaded files
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combined_text = ""
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combined_text += extract_text(file) + "\n"
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if not combined_text.strip():
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st.warning("Could not extract text from uploaded files.")
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else:
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try:
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openai.api_key = api_key
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful assistant that answers questions based on uploaded documents."},
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{"role": "user", "content": f"DOCUMENT:\n{combined_text[:6000]}\n\nQUESTION:\n{question}"}
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st.session_state.conversation.append({"role": "assistant", "content": answer})
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except Exception as e:
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st.error(f"Error from OpenAI: {e}")
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# Display conversation
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if st.session_state.conversation:
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st.markdown("## Conversation")
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for msg in st.session_state.conversation:
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st.markdown(f"**{'You' if msg['role'] == 'user' else 'Assistant'}:** {msg['content']}")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("Clear Conversation"):
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st.session_state.conversation = []
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st.experimental_rerun()
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mime = "application/json"
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filename = "conversation.json"
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st.download_button("Download", content, file_name=filename, mime=mime)
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