chasetank commited on
Commit
b29ec66
1 Parent(s): efacc00

added eqe manual

Browse files
Files changed (1) hide show
  1. InnovationHub/llm/chain.py +10 -12
InnovationHub/llm/chain.py CHANGED
@@ -19,7 +19,6 @@ class VehicleManualChatbot:
19
  self.embeddings = embeddings
20
  self.chatgpt_chain = self._create_chatgpt_chain()
21
 
22
-
23
  def _create_chatgpt_chain(self, temperature=0.5):
24
  template = """
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  {history}
@@ -38,7 +37,6 @@ class VehicleManualChatbot:
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  memory=ConversationalBufferWindowMemory(k=2),
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  )
40
 
41
-
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  def _get_prompt(self, question, vehicle, k=4):
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  prompt = f"""
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  I need information from my {vehicle} manual.
@@ -57,7 +55,6 @@ class VehicleManualChatbot:
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  '\n'.join(context[:k]) + '\n' + 'Question:\n' + question
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  return user_input
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60
-
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  def _ask_question(self, question, vehicle, k=2):
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  index = FAISS.load_local(
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  folder_path=self.db_paths[vehicle], embeddings=self.embeddings)
@@ -67,27 +64,28 @@ class VehicleManualChatbot:
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  response = self.chatgpt_chain.predict(human_input=prompt)
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  return response
69
 
70
-
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  def chat(self, question, vehicle, k=2, temperature=0.5):
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- self.chatgpt_chain = self._create_chatgpt_chain(temperature=temperature)
 
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  response = self._ask_question(question=question, vehicle=vehicle,
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- k=k)
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  return response
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77
 
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-
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  db_paths = {
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  "S-Class": "data/s-class-manual",
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- "EQS": "data/eqs-manual"
 
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  }
83
 
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  embeddings = HuggingFaceEmbeddings()
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- vehicle_options = ["S-Class", "EQS"]
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  chatbot = VehicleManualChatbot(db_paths=db_paths,
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  vehicle_options=vehicle_options,
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  embeddings=embeddings)
90
 
 
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  def start_ui():
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  chatbot_interface = gradio.Interface(
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  fn=chatbot.chat,
@@ -95,7 +93,7 @@ def start_ui():
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  gradio.inputs.Dropdown(
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  vehicle_options, label="Select Vehicle Model"),
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  gradio.inputs.Slider(minimum=1, maximum=10, step=1, label="k")
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- ],
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  outputs="text",
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  title="Owner's Manual",
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  description="Ask your vehicle manual and get a response.",
@@ -103,7 +101,7 @@ def start_ui():
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  ["What is flacon?", "S-Class", 3],
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  ["What is hyperscreen?", "EQS", 2],
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  ["Where can I find my vin?", "EQS", 3]
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- ]
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  )
108
 
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- chatbot_interface.launch()
 
19
  self.embeddings = embeddings
20
  self.chatgpt_chain = self._create_chatgpt_chain()
21
 
 
22
  def _create_chatgpt_chain(self, temperature=0.5):
23
  template = """
24
  {history}
 
37
  memory=ConversationalBufferWindowMemory(k=2),
38
  )
39
 
 
40
  def _get_prompt(self, question, vehicle, k=4):
41
  prompt = f"""
42
  I need information from my {vehicle} manual.
 
55
  '\n'.join(context[:k]) + '\n' + 'Question:\n' + question
56
  return user_input
57
 
 
58
  def _ask_question(self, question, vehicle, k=2):
59
  index = FAISS.load_local(
60
  folder_path=self.db_paths[vehicle], embeddings=self.embeddings)
 
64
  response = self.chatgpt_chain.predict(human_input=prompt)
65
  return response
66
 
 
67
  def chat(self, question, vehicle, k=2, temperature=0.5):
68
+ self.chatgpt_chain = self._create_chatgpt_chain(
69
+ temperature=temperature)
70
  response = self._ask_question(question=question, vehicle=vehicle,
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+ k=k)
72
  return response
73
 
74
 
 
75
  db_paths = {
76
  "S-Class": "data/s-class-manual",
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+ "EQS": "data/eqs-manual",
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+ "EQE": "data/eqe-manual",
79
  }
80
 
81
  embeddings = HuggingFaceEmbeddings()
82
 
83
+ vehicle_options = ["S-Class", "EQS", "EQE"]
84
  chatbot = VehicleManualChatbot(db_paths=db_paths,
85
  vehicle_options=vehicle_options,
86
  embeddings=embeddings)
87
 
88
+
89
  def start_ui():
90
  chatbot_interface = gradio.Interface(
91
  fn=chatbot.chat,
 
93
  gradio.inputs.Dropdown(
94
  vehicle_options, label="Select Vehicle Model"),
95
  gradio.inputs.Slider(minimum=1, maximum=10, step=1, label="k")
96
+ ],
97
  outputs="text",
98
  title="Owner's Manual",
99
  description="Ask your vehicle manual and get a response.",
 
101
  ["What is flacon?", "S-Class", 3],
102
  ["What is hyperscreen?", "EQS", 2],
103
  ["Where can I find my vin?", "EQS", 3]
104
+ ]
105
  )
106
 
107
+ chatbot_interface.launch()