euracle commited on
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c1f1fb3
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1 Parent(s): f9436ab

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -219,7 +219,7 @@ with st.sidebar:
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  prompt_template = """As an expert organic farming consultant with specialization in Agro-Homeopathy, analyze the following context and question to provide a clear, structured response.
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  Context: {context}
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  Previous conversation:{chat_history}
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- Question: {question}
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  Provide your response in the following format:
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  Analysis: Analyze the described plant condition
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  Treatment: Recommend relevant organic farming principles and specific homeopathic medicine(s) with exact potency and repetition frequency. Suggest a maximum of 4 medicines in the order of relevance for any single problem.
@@ -263,7 +263,7 @@ qa = RetrievalQA.from_chain_type(
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  chain_type_kwargs={
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  "prompt": PromptTemplate(
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  template=prompt_template,
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- input_variables=["context", "question"]
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  )
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  }
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  )
@@ -271,7 +271,7 @@ qa = RetrievalQA.from_chain_type(
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  # Create a separate LLMChain for fallback
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  fallback_template = """As an expert organic farming consultant with specialization in Agro-Homeopathy, analyze the following context and question to provide a clear, structured response.
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  Previous conversation:{chat_history}
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- Question: {question}
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  Format your response as follows:
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  Analysis: Analyze the described plant condition
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  Treatment: Recommend relevant organic farming principles and specific homeopathic medicine(s) with exact potency and repetition frequency. Suggest a maximum of 4 medicines in the order of relevance for any single problem.
@@ -346,7 +346,7 @@ if submit_button and query:
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  chat_history = st.session_state.conversation_memory.load_memory_variables({}).get("chat_history", "")
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  # Generate response
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  result = qa({
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- "question": query,
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  })
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  if result['result'].strip() == "":
 
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  prompt_template = """As an expert organic farming consultant with specialization in Agro-Homeopathy, analyze the following context and question to provide a clear, structured response.
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  Context: {context}
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  Previous conversation:{chat_history}
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+ Question: {query}
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  Provide your response in the following format:
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  Analysis: Analyze the described plant condition
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  Treatment: Recommend relevant organic farming principles and specific homeopathic medicine(s) with exact potency and repetition frequency. Suggest a maximum of 4 medicines in the order of relevance for any single problem.
 
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  chain_type_kwargs={
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  "prompt": PromptTemplate(
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  template=prompt_template,
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+ input_variables=["context", "query"]
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  )
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  }
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  )
 
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  # Create a separate LLMChain for fallback
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  fallback_template = """As an expert organic farming consultant with specialization in Agro-Homeopathy, analyze the following context and question to provide a clear, structured response.
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  Previous conversation:{chat_history}
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+ Question: {query}
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  Format your response as follows:
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  Analysis: Analyze the described plant condition
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  Treatment: Recommend relevant organic farming principles and specific homeopathic medicine(s) with exact potency and repetition frequency. Suggest a maximum of 4 medicines in the order of relevance for any single problem.
 
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  chat_history = st.session_state.conversation_memory.load_memory_variables({}).get("chat_history", "")
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  # Generate response
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  result = qa({
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+ "query": query,
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  })
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  if result['result'].strip() == "":