YaserDS-777 commited on
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5e567dc
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1 Parent(s): f067dd4

Update app.py

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Files changed (1) hide show
  1. app.py +11 -11
app.py CHANGED
@@ -8,7 +8,7 @@ os.environ["m_token"] = sec_key
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  # Specify the repository IDs of the Hugging Face models you want to use
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  repo_id_mistral = "mistralai/Mistral-7B-Instruct-v0.3"
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- repo_id_llama3 = "meta-llama/Meta-Llama-3-8B" # Replace with the actual repo ID for Llama3
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  # Streamlit app layout
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  st.title("๐Ÿค– Mistral-7B-Instruct-v0.3 ุชุฌุฑุจุฉ ู†ู…ูˆุฐุฌ ๐Ÿง™")
@@ -85,32 +85,32 @@ if st.button("๐Ÿช„ Cast Spell"):
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  )
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  # Initialize the HuggingFaceEndpoint for Llama3
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- llm_llama3 = HuggingFaceEndpoint(
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  repo_id=repo_id_llama3,
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  max_length=max_length,
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  temperature=temperature,
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  token=sec_key
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- )
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  # Invoke both models with the user's query
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  response_mistral = llm_mistral.invoke(user_query)
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- response_llama3 = llm_llama3.invoke(user_query)
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  # Display the responses side by side
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- col1, col2 = st.columns(2)
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  with col1:
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  st.markdown("๐Ÿ”ฎ <span class='response'>Response from Mistral-7B-Instruct-v0.3:</span>", unsafe_allow_html=True)
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  st.markdown(f"<span class='response'>{response_mistral}</span>", unsafe_allow_html=True)
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-
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  with col2:
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  st.markdown("๐Ÿ”ฎ <span class='response'>Response from Llama3:</span>", unsafe_allow_html=True)
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  st.markdown(f"<span class='response'>{response_llama3}</span>", unsafe_allow_html=True)
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-
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  # Save query and responses to session state
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  if 'history' not in st.session_state:
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  st.session_state.history = []
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- st.session_state.history.append((user_query, response_mistral, response_llama3))
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  else:
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  st.write("๐Ÿšจ Please enter a query to cast your spell.")
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@@ -125,9 +125,9 @@ if 'history' in st.session_state:
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  st.subheader("๐Ÿ“œ Scroll of Spells Cast")
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  for query, response_mistral, response_llama3 in st.session_state.history:
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  st.write(f"**Query:** {query}")
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- col1, col2 = st.columns(2)
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  with col1:
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  st.markdown(f"<span class='response'>**Response from Mistral-7B-Instruct-v0.3:** {response_mistral}</span>", unsafe_allow_html=True)
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- with col2:
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- st.markdown(f"<span class='response'>**Response from Llama3:** {response_llama3}</span>", unsafe_allow_html=True)
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  st.write("---")
 
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  # Specify the repository IDs of the Hugging Face models you want to use
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  repo_id_mistral = "mistralai/Mistral-7B-Instruct-v0.3"
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+ #repo_id_llama3 = "meta-llama/Meta-Llama-3-8B" # Replace with the actual repo ID for Llama3
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  # Streamlit app layout
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  st.title("๐Ÿค– Mistral-7B-Instruct-v0.3 ุชุฌุฑุจุฉ ู†ู…ูˆุฐุฌ ๐Ÿง™")
 
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  )
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  # Initialize the HuggingFaceEndpoint for Llama3
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+ ''' llm_llama3 = HuggingFaceEndpoint(
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  repo_id=repo_id_llama3,
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  max_length=max_length,
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  temperature=temperature,
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  token=sec_key
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+ )'''
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  # Invoke both models with the user's query
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  response_mistral = llm_mistral.invoke(user_query)
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+ #response_llama3 = llm_llama3.invoke(user_query)
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  # Display the responses side by side
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+ col1 = st.columns(1)
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  with col1:
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  st.markdown("๐Ÿ”ฎ <span class='response'>Response from Mistral-7B-Instruct-v0.3:</span>", unsafe_allow_html=True)
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  st.markdown(f"<span class='response'>{response_mistral}</span>", unsafe_allow_html=True)
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+ '''
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  with col2:
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  st.markdown("๐Ÿ”ฎ <span class='response'>Response from Llama3:</span>", unsafe_allow_html=True)
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  st.markdown(f"<span class='response'>{response_llama3}</span>", unsafe_allow_html=True)
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+ '''
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  # Save query and responses to session state
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  if 'history' not in st.session_state:
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  st.session_state.history = []
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+ st.session_state.history.append((user_query, response_mistral))
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  else:
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  st.write("๐Ÿšจ Please enter a query to cast your spell.")
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  st.subheader("๐Ÿ“œ Scroll of Spells Cast")
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  for query, response_mistral, response_llama3 in st.session_state.history:
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  st.write(f"**Query:** {query}")
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+ col1 = st.columns(1)
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  with col1:
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  st.markdown(f"<span class='response'>**Response from Mistral-7B-Instruct-v0.3:** {response_mistral}</span>", unsafe_allow_html=True)
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+ ''' with col2:
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+ st.markdown(f"<span class='response'>**Response from Llama3:** {response_llama3}</span>", unsafe_allow_html=True)'''
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  st.write("---")