Update app.py

app.py

@@ -35,42 +35,42 @@ llm = HuggingFaceHub(
                   "max_new_tokens":250})
 
 
-    # Chain 1: Generating a rephrased version of the user's question
-    template = """{question}\n\n"""
-    prompt_template = PromptTemplate(input_variables=["question"], template=template)
-    question_chain = LLMChain(llm=llm, prompt=prompt_template)
-
-    # Chain 2: Generating assumptions made in the statement
-    template = """Here is a statement:
-        {statement}
-        Make a bullet point list of the assumptions you made when producing the above statement.\n\n"""
-    prompt_template = PromptTemplate(input_variables=["statement"], template=template)
-    assumptions_chain = LLMChain(llm=llm, prompt=prompt_template)
-    assumptions_chain_seq = SimpleSequentialChain(
-        chains=[question_chain, assumptions_chain], verbose=True
-    )
-
-    # Chain 3: Fact checking the assumptions
-    template = """Here is a bullet point list of assertions:
-    {assertions}
-    For each assertion, determine whether it is true or false. If it is false, explain why.\n\n"""
-    prompt_template = PromptTemplate(input_variables=["assertions"], template=template)
-    fact_checker_chain = LLMChain(llm=llm, prompt=prompt_template)
-    fact_checker_chain_seq = SimpleSequentialChain(
-        chains=[question_chain, assumptions_chain, fact_checker_chain], verbose=True
-    )
-
-    # Final Chain: Generating the final answer to the user's question based on the facts and assumptions
-    template = """In light of the above facts, how would you answer the question '{}'""".format(
-        user_question
-    )
-    template = """{facts}\n""" + template
-    prompt_template = PromptTemplate(input_variables=["facts"], template=template)
-    answer_chain = LLMChain(llm=llm, prompt=prompt_template)
-    overall_chain = SimpleSequentialChain(
-        chains=[question_chain, assumptions_chain, fact_checker_chain, answer_chain],
-        verbose=True,
-    )
+# Chain 1: Generating a rephrased version of the user's question
+template = """{question}\n\n"""
+prompt_template = PromptTemplate(input_variables=["question"], template=template)
+question_chain = LLMChain(llm=llm, prompt=prompt_template)
+
+# Chain 2: Generating assumptions made in the statement
+template = """Here is a statement:
+    {statement}
+    Make a bullet point list of the assumptions you made when producing the above statement.\n\n"""
+prompt_template = PromptTemplate(input_variables=["statement"], template=template)
+assumptions_chain = LLMChain(llm=llm, prompt=prompt_template)
+assumptions_chain_seq = SimpleSequentialChain(
+    chains=[question_chain, assumptions_chain], verbose=True
+)
+
+# Chain 3: Fact checking the assumptions
+template = """Here is a bullet point list of assertions:
+{assertions}
+For each assertion, determine whether it is true or false. If it is false, explain why.\n\n"""
+prompt_template = PromptTemplate(input_variables=["assertions"], template=template)
+fact_checker_chain = LLMChain(llm=llm, prompt=prompt_template)
+fact_checker_chain_seq = SimpleSequentialChain(
+    chains=[question_chain, assumptions_chain, fact_checker_chain], verbose=True
+)
+
+# Final Chain: Generating the final answer to the user's question based on the facts and assumptions
+template = """In light of the above facts, how would you answer the question '{}'""".format(
+    user_question
+)
+template = """{facts}\n""" + template
+prompt_template = PromptTemplate(input_variables=["facts"], template=template)
+answer_chain = LLMChain(llm=llm, prompt=prompt_template)
+overall_chain = SimpleSequentialChain(
+    chains=[question_chain, assumptions_chain, fact_checker_chain, answer_chain],
+    verbose=True,
+)
 
 print(overall_chain.run("What is the capitol of the usa?"))